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: 15 / 23 publications (65.2%). 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 — 22 Oct 2026 08:53 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.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 selected publications.
23 / 23 with data · 0 missing or unmatched. Percentages use all 23 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 8 | 8 | 4/8 | 8/8 |
| 2026 | All selected publications | 4 | 4 | 0/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 12 | 6 | 6/6 | 6/6 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 8 | 4/8 | 8/8 |
| 2026 | All selected publications | — | 4 | 0/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 10 | 2 | 2/2 | 2/2 |
| 2021 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 12 | 6 | 6/6 | 6/6 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 2 | 8 | 4/8 | 8/8 |
| 2026 | All selected publications | 0 | 4 | 0/4 | 4/4 |
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 23 / 23 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): 2026-10-21T07:22:48.904458+00:00 — 2026-10-22T08:53:52.658869+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 | 23 | 23/23 |
| 2018 | All selected publications | 0 | 23 | 23/23 |
| 2019 | All selected publications | 0 | 23 | 23/23 |
| 2020 | All selected publications | 0 | 23 | 23/23 |
| 2021 | All selected publications | 4 | 23 | 23/23 |
| 2022 | All selected publications | 5 | 23 | 23/23 |
| 2023 | All selected publications | 10 | 23 | 23/23 |
| 2024 | All selected publications | 10 | 23 | 23/23 |
| 2025 | All selected publications | 5 | 23 | 23/23 |
| 2026 | All selected publications | 3 | 23 | 23/23 |
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 |
|---|---|
| 2019 | 1 |
| 2020 | 2 |
| 2021 | 1 |
| 2023 | 6 |
| 2024 | 1 |
| 2025 | 8 |
| 2026 | 4 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 6 | 7 | 1/1 | 6.0 | 6 | 100.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 3 | 5 | 1/1 | 3.0 | 3 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 13 | 8 | 9 | 13/13 | 1.6 | 1 | 60.0 | 5/13 · 38.5% |
| International Journal of Research in Business and Social Science SSBFNET | 8 | 11 | 17 | 8/8 | 1.38 | 1.5 | 75.0 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
E-commerce is gaining popularity due to its importance for both merchants and consumers, particularly in light of the COVID-19 pandemic, which restricts mass movement and gathering, as well as the high costs associated with traveling to different markets. Despite mounting evidence demonstrating the importance of internet in retails business, little is known about the potential mechanisms that increase consumer purchasing intentions when using online shopping platforms. In today's high customer sensitivity to service quality, successful entrepreneurs have recently thrived under competitive pressures. Online transactions are more difficult because buyers and sellers do not know each other, yet they must provide financial information to intermediaries. Thus, it is now clear that increasing customer trust is a viable strategy for driving e-business success today. Considering this, a new model demonstrating a potential mechanism that increases customers' trust in intermediaries and thus leads to their online purchasing intentions was developed. This innovative model connects website quality to the online purchasing intentions of the customers, using trust in intermediaries as a mediator and moderating the effect of perceived usefulness. To prove or disprove the assumptions highlighted in this study, a cross-sectional research design was used with data from 568 clients of nine domestic e-commerce platforms operating in Rwanda. To investigate the relationship between the variables hypothesized in this study, a variety of methods and tools were used. To assess the potential effect of each variable in this model, we used CFA in SEM-Amos, mean and standard deviation in SPSS, and Hayes macro process. The overall results obtained using the various techniques specified supported the current hypothesized model. We believe that the current study provided an innovative and useful mechanism as one of the potential solutions for today's merging online businesses.
Despite the mounting evidence that leadership can fuel the innovation behavior of employees, yet no study considered the psychological state of employees in such a relationship while Psychology is the primary root of human feelings and behavior. In this regard, this study uses the integrative approach of transformational leadership theory and positive psychology to uncover the pivotal role of positive psychological capital (PsyCap) and perceived effort-reward fairness in the relationship between transformational leadership (TFL) and employee’s innovation behavior. Data collected from 14 banking institutions operating in Rwanda (412 total respondents) were analyzed using structural equation modeling and findings support our hypothesized model
In an attempt to understand the complexity of teen parents and associated consequences, the present study was conducted. It examines the connection between teen parents and family well-being in five selected Districts of Rwanda. Data were collected from 226 respondents randomly selected. Respondents included 176 teen mothers, 30 parents of teen mothers and 20 local leaders. Data were collected through questionnaires and interviews. Quantitative data were presented in percentages while content analysis was used for qualitative data. The results revealed that teen mothers are exposed to various social and economic problems. Rejected and depressed, 61.4% of pregnant teens thought about abortion and were restricted by lack of financial means while 9% thought about suicide which affects the physical and mental health of both teens and their children. Furthermore, 80.4% of teen mothers were not given the opportunity to resume their studies after delivering which amplifies their poverty exposure and their children as well. Parents/guardians need to be supportive through good communication so as to know what their children are going through and advise them accordingly. Moreover, they should bear with them in case a pregnancy occurs so that they may not feel depressed and think of abortion or suicide. They should not chase them from home since it increases their exposure to repeated pregnancies. There is a need of sensitizing the community about strategies that can reduce teen mothers’ rates as well as appropriate action in case teens get impregnated.
Despite the theoretical foundation that links Transformational leadership (TFL) with innovation behavior, previous studies have overlooked on Transformational leadership and innovation behavior at the individual level relationship but paid less attention to how transformational leadership qualities of top leaders would advance innovative work behavior within the organizational setting. To date, the impact of Transformational leadership at a top executive level on employee’s innovative work behavior (IWB) within an organizational setting has not been dealt with in-depth. However, using transformational leadership theory, this study uncovers the pivotal role of innovation culture (IC) and managerial innovation (MI) in the relationship between CEO transformational leadership and employee’s innovation behavior in SMEs. A cross-sectional design with a total of 434 employees from 24 SMEs operating from Rwanda was analyzed using structural equation modeling to evaluate the relationship between the variables developed in the study. The findings of this study support our hypothesized model.
The study investigates the relationship between masculinities, narcissism, and gender-based violence (GBV) among Congolese male refugees in Durban, South Africa. The research uses a qualitative approach and 25 in-depth interviews to identify major themes. Results show that Congolese male refugees reinforce their masculinities through narcissistic behaviors, which contribute to GBV. Societal stakeholders in Durban should be involved in addressing GBV prevention initiatives to hinder men's narcissistic attitudes and beliefs. Recognizing a partner's depth can help reduce GBV by recognizing the positive attention they expect from them.
Monitoring and Evaluation (M&E) are fundamental processes that provide administrators, policymakers, and stakeholders with methods for learning from experience and improving implementation through the reallocation of resources. However, the success of these interventions depends heavily on effective project monitoring and evaluation (M&E) practices. This study therefore examined the effect of project monitoring and evaluation practices on the success of the rural school feeding program in Rutsiro District, Rwanda. The specific objectives were to determine the effect of an M&E baseline survey on the success of the rural school feeding program in Rutsiro District; analyze the effect of M&E planning on program success; assess the effect of M&E data management on program success; and evaluate the effect of M&E stakeholder involvement on program success. The study adopted both the Theory of Change and Utilization-Focused Evaluation. It used descriptive and correlational research designs and adopted a census approach involving 103 respondents, including 89 teachers, 10 staff members, two representatives of school feeding committees at the school level, and two SEIs. Data were collected through questionnaires, interviews, and document reviews. A pilot test was conducted with 10 respondents to determine the instrument's ability to produce consistent results over time. Data were analyzed using descriptive and inferential statistics, including correlation and regression analyses. The findings revealed that all M&E components (baseline survey, planning, data management, and stakeholder involvement) had a strong and significant positive influence on program success. Respondents showed high levels of agreement, indicating that effective M&E practices improve decision-making, resource allocation, accountability, and overall program performance. The study concluded that well-implemented M&E systems are essential for enhancing the effectiveness, sustainability, and impact of rural school feeding programs. Based on these findings, the study recommends strengthening baseline surveys, improving M&E planning frameworks, enhancing data management systems, promoting active stakeholder involvement, and ensuring adequate resource allocation to support long-term program success.
The study was directed by the following specific objectives: (i) to examine the impact of the result-based approach on the performance of the National Agriculture Insurance Scheme, and (ii) to analyze the effect of the participatory approach on the performance of the scheme, and (iii) to investigate the role of the reflexive approach in enhancing the program’s outcomes. The theoretical framework drew on decision-making theory, agricultural insurance theory, and contingency theory. The target group for this study comprises roughly 1,463 people. From this group, a stratified sampling technique was been employed to select 313 respondents. Information for the research obtained via questionnaires, interviews, and document analysis, including monthly district reports. The instruments were pilot-tested, resulting in a Cronbach’s alpha of 0.94, which confirms strong reliability. Data analysis involved descriptive and inferential statistics, specifically correlation and regression at a 0.05 significance level, with the assistance of SPSS Version 28. Ethical standards was upheld by securing informed consent from participants and ensuring the confidentiality of all responses.
Hydropower projects are vital for Rwanda’s economic growth, contributing to the national GDP and accounting for 48% of the country’s installed power capacity. However, these projects face significant environmental risks, including pollution, sedimentation, fluctuating water volumes, and natural disasters such as floods and landslides, which threaten operational efficiency and long-term sustainability. This study aimed to examine the influence of environmental risk factors, specifically pollution risk, sedimentation risk, volume risk, and natural disaster risk, on the performance of hydropower projects in Rwanda, with a focus on Rwaza Hydropower Project in Musanze District. The study is grounded in Stakeholder Theory and Risk Society Theory and adopted descriptive and correlational research designs. The target population consisted of 112 participants, including project managers, plant managers, operators, regulators, and other relevant stakeholders. The study highlights the significant negative influence of pollution, sedimentation, volume fluctuations, and natural disaster risks on the performance of hydropower projects in Rwanda. It is recommended that project managers strengthen environmental management, implement effective sediment and water volume control measures, enhance disaster preparedness, and involve local communities to sustain project performance. Future research could examine the economic impacts of environmental risks, the effectiveness of mitigation strategies, climate change effects, and community participation in improving hydropower sustainability.
This study examined the influence of implementation interventions on the success of education infrastructure projects in Rwanda, using the China-Aided Expansion Project of IPRC Musanze as a case study. The study was grounded in the recognition that project success is not solely dependent on the availability of financial resources but is largely influenced by the effectiveness of implementation strategies throughout the project lifecycle. Specifically, the study assessed the effect of materials and resource management, financial management, technology adoption, and human expertise and skills development on project success. The study was guided by Implementation Theory and the Project Success Model and adopted both descriptive and correlational research designs. The target population comprised 123 employees of IPRC Musanze at the time of project implementation, including three who were assigned to supervise the project on behalf of the beneficiary institution, as well as 1,243 students who were enrolled during the same period. This resulted in a total population of 1,366 respondents. A mixed sampling approach was employed, whereby a census technique was applied to the employee category, while simple random sampling was used for the student category. Data were collected using questionnaires, interviews, and document review to ensure triangulation and enhance the validity of findings.
This study aimed to examine the influence of team management approaches, specifically team structuring, leadership, motivation, and communication, on the performance of tea processing projects in Rwanda. The study is grounded in Belbin’s Team Role Theory and the Iron Triangle Model and adopted descriptive and correlational research designs. The target population included 185 respondents, comprising factory staff, supervisors, team leaders, and officials from NAEB, MINAGRI, and the Rwanda Tea Growers Cooperative. Data were collected using structured questionnaires and interviews. A pilot test was conducted with 19 respondents to determine the instrument's ability to produce consistent results over time. Validity and Reliability testing of the research instrument yielded 0.78 and a Cronbach’s Alpha of 0.79 from pilot results, confirming the instrument's validity and reliability respectively. Data analysis involved descriptive and inferential statistics, including Pearson correlation and regression, using SPSS version 28 at a 0.05 significance level.
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 |