Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 19 / 19 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 23 Oct 2026 07:27 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
10 / 19 with data · 9 missing or unmatched. Percentages use all 19 selected publications.
10 / 19 with data · 9 missing or unmatched. Percentages use all 19 selected publications.
19 / 19 with data · 0 missing or unmatched. Percentages use all 19 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 14 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 0 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 2 | 14 | 14/14 | 14/14 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 19 / 19 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:43.952830+00:00 — 2026-10-23T07:27:20.968386+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 19 | 19/19 |
| 2018 | All selected publications | 0 | 19 | 19/19 |
| 2019 | All selected publications | 0 | 19 | 19/19 |
| 2020 | All selected publications | 0 | 19 | 19/19 |
| 2021 | All selected publications | 0 | 19 | 19/19 |
| 2022 | All selected publications | 0 | 19 | 19/19 |
| 2023 | All selected publications | 1 | 19 | 19/19 |
| 2024 | All selected publications | 1 | 19 | 19/19 |
| 2025 | All selected publications | 2 | 19 | 19/19 |
| 2026 | All selected publications | 0 | 19 | 19/19 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021 | 1 |
| 2022 | 2 |
| 2024 | 2 |
| 2025 | 14 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 3 | 0 | 0 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 11 | 0 | 1 | 11/11 | 0.0 | 0 | 0.0 | 11/11 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 0 | 3 | 5/5 | 0.0 | 0 | 0.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
Recognizing that effective road infrastructure is vital for socioeconomic development, this research addressed the persistent challenges that hindered project execution, including delays, cost overruns, and compromised quality often linked to inadequate M&E practices. The study examined the influence of M&E practices on implementation of road construction projects in Musanze District, Rwanda with specific focus on M&E planning, M&E data utilization, and M&E digitalization on implementation of road construction projects. This study used the theory of change and constraints theory. The study employed descriptive survey and correlational research designs with questionnaire and interview for collecting data from a sample of 153 respondent out of 247 key stakeholders. The instruments were pretested in a pilot study involving 10% of the sample to ensure validity and reliability, achieving a Cronbach's alpha coefficient of 0.78. Descriptive and inferential statistics of correlation and regression were done at a significance level of 0.05 with thematic content analysis of qualitative data for triangulation. The findings revealed that road construction projects generally performed above average, with 68.6% of respondents confirming that projects were completed within budget, 69.9% stating that milestones were met on time, and 65.3% satisfied with the quality of materials and road quality. The hypotheses that M&E Planning, M&E Data Utilization, M&E Digitalization and M&E Capacity Building does not significantly influence the implementation of road construction projects were rejected as p = 0.000 < 0.05. In conclusion all four null hypotheses were rejected, demonstrating that M&E planning, data utilization, digitalization, and capacity building significantly influence the implementation of road construction projects. The study recommended enhancing community engagement, strengthening M&E planning, expanding digitalization efforts, prioritizing ongoing capacity building, and fostering a culture of data-driven decision-making. Suggestions for further studies included comparing M&E practices across infrastructure sectors such as water or energy projects, to identify cross-sectoral best practices and potential areas for improvement, exploring emerging technologies like AI and block chain, and analyzing the impact of national and regional policies on M&E practices.
The study investigates the effect of project resource management—including human, financial, material, and technological resources—on the performance of housing construction projects, with a case study of the One and Only Resort’s Staff Accommodation Project in Musanze District, Rwanda. Effective resource management is essential for optimizing project outcomes, yet Rwanda’s construction sector faces challenges such as workforce skill gaps and motivation issues that hinder efficiency. Grounded in the Resource-Based View Theory, Human Capital Theory, and Theory of Change, the research employed a descriptive and correlational design, targeting 308 stakeholders, including project managers, skilled laborers, administrative staff, and consultants. A sample of 174 participants was selected through stratified sampling, with data collected via questionnaires, interviews, and documentation. The instruments demonstrated strong validity (0.892) and reliability (0.803). Using SPSS version 28 for correlation and regression analysis at a 0.05 significance level, the study rejected all four null hypotheses (p = 0.000), confirming that human, financial, material, and technology resource management significantly enhance project performance. The findings underscore the importance of strategic resource allocation in improving construction efficiency and project success. The study recommends that project managers continuously refine resource management strategies to optimize outcomes and suggests future research on the role of risk management in housing construction projects. This research provides valuable insights into resource optimization in Rwanda’s construction sector, offering practical guidance for enhancing housing project performance through effective resource management.
Participatory project management practices have gained significant attention within the agricultural sector, reflecting a broader global trend toward engaging diverse stakeholders in planning, execution, and evaluation of projects, However, despite the recognized benefits of such practices, agricultural projects in Rwanda still encounter significant challenges related to stakeholder engagement and local participation. The study sought to assess participatory project management practices influence on performance of agricultural projects in Musanze district, Rwanda with focus on participatory planning, implementation, and M&E. The research was guided by the Stakeholder Theory, Social Capital Theory, and Goal Setting Theory, which offered a structured approach to understanding how participatory practices impact agricultural project outcomes. The research employed descriptive and correlational designs. The target population for this study consisted of 465 population divided into four categories: 10 project managers, 83 project staff and team members, 298 beneficiaries’ representatives, and 74 community leaders. Using Slovin’s formula, the sample size was calculated to be 215 participants, ensuring that the study's findings accurately represented the population. Descriptive statistics and inferential statistics like correlation and regression analysis were applied. Data were analyzed using SPSS version 25 on descriptive and inferential statistics of Bivariate Correlation and regression analysis. For the study on TUBURA Project, a pre-test was conducted on 10% of the sample size equal to 22 respondents, including project managers and staff to assess the effectiveness of the questionnaire. A validity index of 0.8 was obtained while the Cronbach's alpha coefficient of reliability was 0.83, which exceeds the minimum acceptable reliability threshold of 0.70. The findings for the hypotheses at ?=.05 level of significance that: there is no significant influence of participatory planning, execution and M&E on performance of agricultural projects was rejected since P=0.000<0.05. All predictors show statistically significant effects on performance, with p-values less than 0.05. The study recommends that management of TUBURA Project should enhance participatory planning by organizing regular community meetings, ensuring local input in decision-making, and making planning documents easily accessible to stakeholders for increased transparency and accountability. Future research should investigate the socio-economic impacts of participatory methods on beneficiaries of agricultural projects.
Stakeholder engagement is a critical determinant of project success, with ineffective strategies contributing to failures worldwide. Despite some progress, research remains scarce on the specific strategies contributing to sustainable outcomes in Rwanda. The purpose of the study was to assess the effect of stakeholders' engagement strategies on performance of agricultural projects in Rutsiro District, Rwanda: A Case of KOICA Project. The Specific objectives of the study include: To assess the effect of collaboration, involvement, empowerment and consultation strategy on performance of agricultural projects in Rutsiro District, Rwanda. The study was grounded on Stakeholder Theory. The study used descriptive and correlational research design. The target population includes 2,179 stakeholders from KOICA, with a sample size of 338 respondents. The pilot study aimed to enhance the validity and reliability of the research tools by pre-testing the questionnaire and interview guide with 34 respondents, representing 10% of the sample size. Validity was confirmed through expert evaluation, yielding a content validity index of 0.89 while Reliability was established using the split-half technique, achieving a Cronbach’s alpha coefficient of 0.84, demonstrating the instruments' consistency and appropriateness for data collection. Descriptive statistics of percentage, frequency, mean and standard deviation and inferential statistics of Correlation and Regression were done at a significance level of 0.05 using SPSS version 28 while thematic content analysis of qualitative data was done for triangulation. The findings for four hypotheses were tested at ?=.05 level of significance and the results were: Collaboration Strategy (P=0.000<0.05), Involvement Strategy (P=0.000<0.05), Empowerment Strategy (P=0.000<0.05) and, Consultation Strategy (P=0.000<0.05) on Performance of Agricultural Projects were rejected. The study concludes that the performance of agricultural projects in Rutsiro District is significantly influenced by collaboration, involvement, empowerment, and consultation strategies. To enhance project outcomes, the study recommends developing structured frameworks for resource sharing, fostering participatory decision-making, expanding capacity-building programs, and strengthening feedback mechanisms to improve stakeholder engagement and inclusivity.
The Zipline medical drone delivery project in Rwanda exemplifies how innovative logistics can transform healthcare access by ensuring rapid and reliable delivery of blood, vaccines, and other critical supplies to remote areas. While such projects enhance healthcare efficiency and save lives, their success depends on effective project management practices, including human resource management, stakeholder coordination, risk mitigation, and communication strategies. This study examined the influence of these factors on the implementation of the Zipline project, using a descriptive and correlational research design grounded in Systems Theory and Innovation Diffusion Theory. The research involved 65 key stakeholders, including project managers, engineers, healthcare providers, and government officials, with data collected through questionnaires, interviews, and document reviews. The results demonstrated that human resource management significantly impacts project success (p = 0.000), emphasizing the need for skilled personnel and efficient team coordination. Stakeholder management also played a critical role (p = 0.000), highlighting the importance of collaboration among government agencies, healthcare providers, and local communities. Additionally, proactive risk management (p = 0.000) was essential for addressing operational challenges, while effective communication (p = 0.000) ensured clarity and alignment among all parties. These findings underscore the interconnectedness of these management practices in achieving timely and efficient medical supply delivery. The study recommends further research into the long-term sustainability and scalability of such projects, considering regional and cultural factors that may influence their success. By addressing these key management dimensions, similar initiatives can be optimized to maximize their impact on healthcare systems, particularly in underserved regions. The insights from this research provide valuable guidance for policymakers and project implementers seeking to leverage drone technology and other innovations to improve global healthcare delivery.
Recognizing that effective road infrastructure is vital for socioeconomic development, this research addressed the persistent challenges that hindered project execution, including delays, cost overruns, and compromised quality often linked to inadequate M&E practices. The study examined the influence of M&E practices on implementation of road construction projects in Musanze District, Rwanda with specific focus on M&E planning, M&E data utilization, and M&E digitalization on implementation of road construction projects. This study used the theory of change and constraints theory. The study employed descriptive survey and correlational research designs with questionnaire and interview for collecting data from a sample of 153 respondent out of 247 key stakeholders. The instruments were pretested in a pilot study involving 10% of the sample to ensure validity and reliability, achieving a Cronbach's alpha coefficient of 0.78. Descriptive and inferential statistics of correlation and regression were done at a significance level of 0.05 with thematic content analysis of qualitative data for triangulation. The findings revealed that road construction projects generally performed above average, with 68.6% of respondents confirming that projects were completed within budget, 69.9% stating that milestones were met on time, and 65.3% satisfied with the quality of materials and road quality. The hypotheses that M&E Planning, M&E Data Utilization, M&E Digitalization and M&E Capacity Building does not significantly influence the implementation of road construction projects were rejected as p = 0.000 < 0.05. In conclusion all four null hypotheses were rejected, demonstrating that M&E planning, data utilization, digitalization, and capacity building significantly influence the implementation of road construction projects. The study recommended enhancing community engagement, strengthening M&E planning, expanding digitalization efforts, prioritizing ongoing capacity building, and fostering a culture of data-driven decision-making. Suggestions for further studies included comparing M&E practices across infrastructure sectors such as water or energy projects, to identify cross-sectoral best practices and potential areas for improvement, exploring emerging technologies like AI and block chain, and analyzing the impact of national and regional policies on M&E practices.
The study investigates the impact of skills and concomitant competencies in enhancing claims management in order to ameliorate disputes in the South African construction industry. By evaluating the role of various skills and abilities, the study provided significant insights for optimizing claims management methods and enhancing project outcomes. The study adopted a mixed-method approach, combining a content analysis of industry reports, and legal precedents relating to construction claims management and skills development. Additionally, structured interviews and surveys were undertaken with key stakeholders in the construction sector. A total of eleven interviews and ninety-three (93) complete responses were retrieved from respondents including contractors, subcontractors, project managers, legal experts, and industry associations. These interviews and surveys attempt to obtain qualitative and quantitative data on the impact of skills on claims management procedures, including competency levels, training experiences, problems faced, and perceived outcomes. study underlines the need for investing in training and development programs to alleviate skills shortages and build a culture of competence among construction professionals. The conversation discussed the possible role of technology in complementing abilities and improving claims management efficiency. It is recommended that recognizing the crucial link between skills and claims management effectiveness, stakeholders may apply measures to limit risks, improve procedures, and ultimately increase successful project outcomes in the construction industry.
Small, Micro- and Medium Enterprises (SMMEs) play a significant role in most world economies, particularly in developing countries. South Africa’s SMMEs demonstrate a high failure rate and do not seem to match the performances of applicable best practices. Regarding construction SMMEs, these issues are particularly noticeable. This study wants to investigate the level of performance of SMMEs in the construction industry of the Gauteng Province in South Africa as compared to SADC and best practices by addressing the research question, “To what extent do Gauteng construction SMMEs deviate from global best practice and SADC measures in terms of performance metrics?”, using regional and global lenses. The study design was cross-sectional qualitative based on secondary data. The targeted study population consisted of registered Gauteng construction SMMEs, and SADC and global best practices benchmarks were used for measuring these performances. The study found the Gauteng construction SMMEs were not engaging in social responsibility, and were lacking the most in business results, policy and strategy, processes, and in people management.
The study investigates the effect of project resource management—including human, financial, material, and technological resources—on the performance of housing construction projects, with a case study of the One and Only Resort’s Staff Accommodation Project in Musanze District, Rwanda. Effective resource management is essential for optimizing project outcomes, yet Rwanda’s construction sector faces challenges such as workforce skill gaps and motivation issues that hinder efficiency. Grounded in the Resource-Based View Theory, Human Capital Theory, and Theory of Change, the research employed a descriptive and correlational design, targeting 308 stakeholders, including project managers, skilled laborers, administrative staff, and consultants. A sample of 174 participants was selected through stratified sampling, with data collected via questionnaires, interviews, and documentation. The instruments demonstrated strong validity (0.892) and reliability (0.803). Using SPSS version 28 for correlation and regression analysis at a 0.05 significance level, the study rejected all four null hypotheses (p = 0.000), confirming that human, financial, material, and technology resource management significantly enhance project performance. The findings underscore the importance of strategic resource allocation in improving construction efficiency and project success. The study recommends that project managers continuously refine resource management strategies to optimize outcomes and suggests future research on the role of risk management in housing construction projects. This research provides valuable insights into resource optimization in Rwanda’s construction sector, offering practical guidance for enhancing housing project performance through effective resource management.
Stakeholder engagement is a critical determinant of project success, with ineffective strategies contributing to failures worldwide. Despite some progress, research remains scarce on the specific strategies contributing to sustainable outcomes in Rwanda. The purpose of the study was to assess the effect of stakeholders' engagement strategies on performance of agricultural projects in Rutsiro District, Rwanda: A Case of KOICA Project. The Specific objectives of the study include: To assess the effect of collaboration, involvement, empowerment and consultation strategy on performance of agricultural projects in Rutsiro District, Rwanda. The study was grounded on Stakeholder Theory. The study used descriptive and correlational research design. The target population includes 2,179 stakeholders from KOICA, with a sample size of 338 respondents. The pilot study aimed to enhance the validity and reliability of the research tools by pre-testing the questionnaire and interview guide with 34 respondents, representing 10% of the sample size. Validity was confirmed through expert evaluation, yielding a content validity index of 0.89 while Reliability was established using the split-half technique, achieving a Cronbach’s alpha coefficient of 0.84, demonstrating the instruments' consistency and appropriateness for data collection. Descriptive statistics of percentage, frequency, mean and standard deviation and inferential statistics of Correlation and Regression were done at a significance level of 0.05 using SPSS version 28 while thematic content analysis of qualitative data was done for triangulation. The findings for four hypotheses were tested at ?=.05 level of significance and the results were: Collaboration Strategy (P=0.000<0.05), Involvement Strategy (P=0.000<0.05), Empowerment Strategy (P=0.000<0.05) and, Consultation Strategy (P=0.000<0.05) on Performance of Agricultural Projects were rejected. The study concludes that the performance of agricultural projects in Rutsiro District is significantly influenced by collaboration, involvement, empowerment, and consultation strategies. To enhance project outcomes, the study recommends developing structured frameworks for resource sharing, fostering participatory decision-making, expanding capacity-building programs, and strengthening feedback mechanisms to improve stakeholder engagement and inclusivity.
Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.
Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |