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: 547 / 547 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 00:01 UTC — 21 Oct 2026 07:23 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.
500 / 547 with data · 47 missing or unmatched. Percentages use all 547 selected publications.
499 / 547 with data · 48 missing or unmatched. Percentages use all 547 selected publications.
547 / 547 with data · 0 missing or unmatched. Percentages use all 547 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 |
|---|---|---|---|---|---|
| 2012 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 13 | 13 | 13/13 | 13/13 |
| 2014 | All selected publications | 14 | 14 | 14/14 | 14/14 |
| 2015 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2016 | All selected publications | 27 | 27 | 27/27 | 27/27 |
| 2017 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2018 | All selected publications | 10 | 10 | 10/10 | 10/10 |
| 2019 | All selected publications | 54 | 54 | 54/54 | 54/54 |
| 2020 | All selected publications | 66 | 66 | 66/66 | 66/66 |
| 2021 | All selected publications | 101 | 101 | 101/101 | 101/101 |
| 2022 | All selected publications | 118 | 118 | 118/118 | 118/118 |
| 2023 | All selected publications | 87 | 87 | 87/87 | 87/87 |
| 2024 | All selected publications | 29 | 29 | 29/29 | 29/29 |
| 2025 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 41 | 13 | 13/13 | 13/13 |
| 2014 | All selected publications | 52 | 14 | 14/14 | 14/14 |
| 2015 | All selected publications | 49 | 12 | 12/12 | 12/12 |
| 2016 | All selected publications | 100 | 27 | 27/27 | 27/27 |
| 2017 | All selected publications | 61 | 12 | 12/12 | 12/12 |
| 2018 | All selected publications | 45 | 10 | 10/10 | 10/10 |
| 2019 | All selected publications | 230 | 54 | 54/54 | 54/54 |
| 2020 | All selected publications | 344 | 66 | 66/66 | 66/66 |
| 2021 | All selected publications | 535 | 101 | 101/101 | 101/101 |
| 2022 | All selected publications | 751 | 118 | 118/118 | 118/118 |
| 2023 | All selected publications | 621 | 87 | 87/87 | 87/87 |
| 2024 | All selected publications | 210 | 29 | 29/29 | 29/29 |
| 2025 | All selected publications | 14 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 25 | 2 | 2/2 | 2/2 |
| 2013 | All selected publications | 122 | 13 | 13/13 | 13/13 |
| 2014 | All selected publications | 143 | 14 | 14/14 | 14/14 |
| 2015 | All selected publications | 123 | 12 | 12/12 | 12/12 |
| 2016 | All selected publications | 278 | 27 | 27/27 | 27/27 |
| 2017 | All selected publications | 141 | 12 | 12/12 | 12/12 |
| 2018 | All selected publications | 109 | 10 | 10/10 | 10/10 |
| 2019 | All selected publications | 580 | 54 | 54/54 | 54/54 |
| 2020 | All selected publications | 661 | 66 | 66/66 | 66/66 |
| 2021 | All selected publications | 1063 | 101 | 101/101 | 101/101 |
| 2022 | All selected publications | 1177 | 118 | 118/118 | 118/118 |
| 2023 | All selected publications | 857 | 87 | 87/87 | 87/87 |
| 2024 | All selected publications | 239 | 29 | 29/29 | 29/29 |
| 2025 | All selected publications | 14 | 2 | 2/2 | 2/2 |
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 547 / 547 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): 2026-10-21T00:01:59.914678+00:00 — 2026-10-21T07:23:00.722414+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 | 40 | 547 | 547/547 |
| 2018 | All selected publications | 65 | 547 | 547/547 |
| 2019 | All selected publications | 131 | 547 | 547/547 |
| 2020 | All selected publications | 178 | 547 | 547/547 |
| 2021 | All selected publications | 344 | 547 | 547/547 |
| 2022 | All selected publications | 584 | 547 | 547/547 |
| 2023 | All selected publications | 1086 | 547 | 547/547 |
| 2024 | All selected publications | 1283 | 547 | 547/547 |
| 2025 | All selected publications | 1094 | 547 | 547/547 |
| 2026 | All selected publications | 620 | 547 | 547/547 |
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 |
|---|---|
| 2012 | 2 |
| 2013 | 13 |
| 2014 | 14 |
| 2015 | 12 |
| 2016 | 27 |
| 2017 | 12 |
| 2018 | 10 |
| 2019 | 54 |
| 2020 | 66 |
| 2021 | 101 |
| 2022 | 118 |
| 2023 | 87 |
| 2024 | 29 |
| 2025 | 2 |
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 | 8 | 53 | 85 | 8/8 | 6.62 | 6.5 | 100.0 | 8/8 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 30 | 216 | 316 | 30/30 | 7.2 | 7.0 | 100.0 | 30/30 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 86 | 392 | 858 | 86/86 | 4.56 | 4.0 | 95.3 | 86/86 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 423 | 2400 | 4273 | 423/423 | 5.67 | 5 | 98.1 | 423/423 · 100.0% |
* Percentage among publications with a known citation count.
The reality is that there is a relationship between language and race as advanced and qualified by ethnolinguistics. Such a relationship points to the subjugation of the isiXhosa language (habitually situated in South Africa), among other prescripts, which was fueled by racial hierarchization that ought to be debated within the paradigm of scholarly discourses. The subjugation, distortion and erosion of the isiXhosa language were led by the colonial, apartheid governance and administration that sought to impose censorship. Therefore, this article employs post-colonial theory to argue and scholarly prove that the language and many South African indigenous languages were oppressed based on racial notions that sought to accelerate neo-liberalist and imperialist perceptions. Hypothetically speaking, the isiXhosa language still suffers from the effects of (post)colonialism carried by colonial agents who continue to mock and humiliate the language. The debates and findings underline that such claims (racial hierarchization of the language) must be validated through theoretical and practical discourses. As a result, closing remarks infuse potential recommendations open to public scrutiny regarding the problematised phenomenon and/or conundrum.
The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.
This study aims to investigate the association between non-performing loans (NPLs) and the profitability of banks in Bangladesh. The data of twenty-five listed banks for the twelve years spanning from 2010 to 2021 have been analyzed to achieve the research objective. through the use of the ordinary least square (OLS) regression model, we found that the NPL has a negative significant impact on the profitability determined by the return on asset (ROA). In addition, the study revealed that the bank size, which is represented by banks’ total assets, is also inversely related to the profitability of the sample banks used in this research. The study concludes that the stakeholders, particularly the management of the banks, as well as the regulators, should be more cautious about NPLs and should try to lessen the level of NPLs because it can bring devastating results both on the microeconomic as well as on macroeconomic metrics of a developing country like Bangladesh.
The study looked at the role and contribution of entrepreneurship industry to foster social and economic development through small, micro, and medium-sized businesses in South Africa. The conceptual research looked at the influence of small, micro, and medium-sized businesses (SMMEs) on South African development. The study's objective was to evaluate how small, medium-sized businesses (SMMEs) are now driving economic growth and solving social issues in a setting where big businesses and governments appear to be doing very little. As a result, the study examines how SMMEs might help the nation solve persistent societal evils including poverty, inequality, and social isolation. A desktop literature review research design was adopted to collect data on the role of entrepreneurship in South Africa, policies and practices of big business and government that exacerbate social issues in communities and impede socioeconomic development, as well as the specific roles that SMMEs play in achieving socioeconomic development goals. Findings from research indicate that, among other development outcomes, SMMEs are at the vanguard of creating jobs and fostering social and political justice in the nation. Future empirical studies that account for and evaluate the importance of SMME contributions to the construction of economic, social, and political justice in the nation are advised because this work lacks the empirical support necessary to substantiate its conclusions and observations.
Various existing studies have established the multi-faceted nature of social inequalities in South Africa. The social inequalities also segregate schools into urban and rural schools, with adequate or lack of infrastructure influencing learners' performances in various South African schools. Hence, school principals are expected to manage the available resources to attain curriculum delivery and the whole school's performance. This qualitative study explored principals' perspectives on managing uneven school resources to achieve the goals and objectives of the education system. This study adopted an interpretive paradigm to understand the voices of 20 rural school principals in semi-structured interviews. The principals were purposively selected from 20 rural schools in King Cetshwayo district in KwaZulu-Natal. The audio-recorded interviews were thematically analysed to generate themes for findings and discussion. Findings revealed that most rural schools need more adequate school resources, and the principals need more support to attain quality curriculum delivery in schools adequately. The principals also lamented the high expectations placed on their schools for the academic excellence of their learners. Thus, the contents of each subject curriculum could not be efficiently unpacked and delivered to learners. The study, therefore, recommends improvement in resource provision to rural schools. At the same time, principals should be capacitated on effectively managing available school resources to achieve desired and efficient curriculum implementation in rural schools.
This study investigates the impact of financial literacy on small and medium-sized enterprises (SMEs), focusing on its role in enhancing financial decision-making, access to finance, fintech adoption, and risk management. Grounded in Resource-Based Theory (RBT) and Human Capital Theory (HCT), financial literacy is positioned as both a strategic capability and a form of human capital that strengthens firm resilience and competitiveness. A systematic literature review was conducted, synthesising evidence from 18 empirical studies published between 2016 and 2024. Findings reveal that financial literacy significantly improves SMEs’ ability to budget, manage debt, and evaluate investment decisions. It also enhances creditworthiness through improved financial record-keeping, thereby facilitating access to financing. Moreover, digital financial literacy is identified as a catalyst for fintech adoption, which contributes to cost reduction, operational efficiency, and financial transparency. The study concludes that targeted financial literacy interventions are essential, especially in developing economies where SMEs face structural constraints. It calls for integrated financial education strategies involving policymakers, financial institutions, and SME development agencies. Further empirical research is recommended to examine the long-term and digital dimensions of financial literacy as a driver of sustainable SME performance.
Road’s infrastructure is regarded as an essential factor to achieve development goals. It is recorded that most people living in the rural areas are constrained by poor road infrastructure, thereby causing poverty, hunger, and food insecurity. This situation calls for more investments in road infrastructure to promote agricultural activities. Using systematic review method, this study reviewed literature pertaining to road infrastructure in South Africa, the review focused on the importance, benefits, and present state of road infrastructure and the socio-economic effects of poor road infrastructure. The study revealed that Most South African roads are in bad shape, especially roads in the rural areas. due to lack of qualified personnel to manage road infrastructure, government regulations and policies and financial challenges. The implications of this study's findings are substantial for future research. Firstly, in order to ensure the timely delivery of infrastructure construction projects, the study's findings are expected to provide guidance to decision-makers and stakeholders in South Africa and other nations on how to proactively implement measures to provide and maintain sustainable, good road infrastructure.
Partial Least Squares Structural Equation Modeling has gained considerable attention across diverse academic fields, including business, social sciences, marketing, and management. A key challenge in utilizing PLS-SEM is balancing explanatory and predictive power when selecting the most suitable model from competing alternatives. This paper explores the effectiveness of various quality criteria for evaluating causal-predictive models, with a focus on resistance to change in Vietnamese SMEs. The study emphasizes the importance of both in-sample and out-of-sample predictions, using metrics such as R², BIC, AIC, Q², RMSE, MAE, and CVPAT. The findings reveal that traditional criteria like R² may not be sufficient for identifying the best model, while PLSpredict, CVPAT, BIC, and AIC offer superior performance in determining the optimal balance between explanatory and predictive capabilities. These insights provide practical implications for researchers and practitioners, highlighting the need to tailor model selection to specific objectives, such as theory development or real-world forecasting. For practitioners, the study underscores the benefits of leveraging simpler, more generalizable models for robust decision-making in dynamic or resource-constrained environments.
Indigenous communities possess rich traditions of conflict resolution rooted in their cultural values, collective decision-making, and community involvement. However, the imposition of Western legal frameworks and colonial histories has often disrupted these practices, leading to increased tensions and unresolved conflicts. This study explored conflict resolution within Indigenous communities, emphasizing the role of social work in facilitating culturally appropriate processes. The study employed a qualitative approach, incorporating interviews with Indigenous leaders, social workers, and community members, alongside a review of relevant literature on traditional practices and social work interventions. Social workers play a crucial role as facilitators, helping to navigate tensions and bridging gaps between traditional practices and contemporary needs. Challenges include a lack of cultural competency and the need for ongoing community engagement. The integration of Indigenous knowledge systems into conflict resolution practices enhance outcomes and foster healing. Social workers prioritize cultural humility and active listening, ensuring that Indigenous voices lead the resolution process. By supporting the reclamation of traditional conflict resolution methods and advocating for culturally sensitive practices, social workers empowered Indigenous communities, promote resilience, and facilitate more effective conflict resolution. This perspective underscores the necessity of collaboration, respect, and recognition of Indigenous sovereignty in all social work interventions.
This study presents a systematic literature review analysing the impact of artificial intelligence (AI) on higher education, focusing on its methods, results, and implications. By synthesising a diverse range of academic papers, the review explores how AI technologies influence educational standards and practices in higher education institutions. Findings reveal that AI has the potential to enhance the quality of higher education by diversifying teaching responsibilities, customising learning experiences, and employing intelligent, adaptive teaching strategies. These capabilities position AI as a transformative tool for improving educational delivery and outcomes. However, the study also highlights significant challenges associated with integrating AI into higher education. These challenges include delineating the appropriate scope of AI use, addressing inequalities in access to digital resources, and ensuring adequate training and support for educators and students. The review underscores the importance of understanding these complexities to guide the development of effective strategies and policies that optimise AI's potential while mitigating its limitations. The review offers critical insights into the dual role of AI in higher education, where it can either advance or hinder educational standards depending on how it is implemented. By examining the advantages, limitations, and broader consequences of AI-powered instructional tools, this study provides a comprehensive perspective on the intricate relationship between AI and educational quality. The findings aim to inform educators, policymakers, and stakeholders about the opportunities and challenges of adopting AI in higher education, contributing to the development of inclusive, innovative, and sustainable educational practices.
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 |