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: 3 / 3 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 — 22 Oct 2026 11:30 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-21T07:22:53.426870+00:00 — 2026-10-22T11:30:54.390793+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 2 | 3 | 3/3 |
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 |
|---|---|
| 2024 | 3 |
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 Research in Business and Social Science SSBFNET | 3 | 2 | 3 | 3/3 | 0.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
There is a scarcity of research on the analysis of thresholds of official development assistance (ODA), foreign direct investment (FDI), and economic growth in Africa. Most of the studies focused on analysing the correlation between official development assistance (ODA) or foreign direct investment (FDI) and economic growth. This study stands out from others by adopting a comprehensive approach to analyse the threshold analysis of ODA, FDI, and economic growth in many countries on a continental scale. We examine the threshold for ODA, FDI, and economic growth by analysing annual data from 1980 to 2018 in 30 African countries. The primary method used for the estimation was the panel threshold regression approach. The threshold analysis test assessed the impact of ODA, FDI, and economic growth. The current study utilised threshold analysis and found a positive coefficient of 0.0620, indicating a favourable correlation between FDI and economic growth. On the contrary, the negative coefficient of 0.0683 shows a detrimental correlation between ODA and economic growth. Therefore, officials must enforce the level of ODA that is necessary to stimulate FDI and foster economic growth in Africa. Furthermore, it is crucial for authorities to implement a monitoring system to closely monitor these thresholds and adjust the policy accordingly in response to changing economic situations. The findings of this study will not only contribute to academic discourse, but will also provide vital perspectives for politicians, practitioners, enterprises, and foreign investors on how to effectively implement policies that stimulate economic growth and attract foreign investment in Africa. Furthermore, this study offers recommendations for further research in the domain of international capital flows.
The study sought to investigate the effect of foreign aid and capital flow on real economic growth for the SADC region. Eleven member states of the SADC region are selected for analysis based on data availability. In the study, foreign aid is represented by official development assistance (ODA), external debt (EXTD), and debt service cost (DSC) while the inflow of foreign direct investment represents capital flow (FDI). Annual percentage growth of per capita Gross Domestic Product (GDPpc) is used as a proxy of real economic growth. Trade balance (TRO) is included in the model regression as a control variable. The study employed panel econometric models. The results of panel ARDL indicate that ODA and FDI were found to have a negligible effect on real growth in the short run but contribute positively and significantly in the long run. This revelation supports the view that ODA and FDI are essential determinants of growth. On the other hand, EXTD together with its associated costs was found to have a detrimental effect both in the short run and long run. Based on the results of the study, the authors put forward the following policy recommendations for the SADC region: most importantly, there ought to be effective management of external debt by SADC countries to reduce their overdependency on external debt for their domestic needs. Given the positive effect of FDI in the region, the SADC region needs to intensify its efforts in devising measures that will attract foreign investors to the region which among others include pursuing inclusive and sustainable economic growth. Lastly, there is a need for effective management and official development aid to ensure sustainable growth.
Achieving the Sustainable Development Goals (SDGs) requires not only national budgetary revenues but also the private sector and other funding sources. A significant number of development actors consider the private sector to be an essential partner and advocate for development cooperation. International development places a special emphasis on formalised private philanthropic organizations. This study examines how the Sustainable Development Goals affect the flow of private philanthropic aid to developing countries. The study also wants to know if private development funding is utilised for development alone or other purposes. Secondary sources of information from credible books, journals, and official reports from various development organizations were used in the study. Thus, a desktop qualitative analysis was used to examine the data. The paper bases its argument on the dual interest model, which contends that recipient needs and donor interests influence private-sector giving. The study finds that corporate philanthropists have made SDG targets a major theme in their programmatic and financial work. The results show that corporate philanthropists' involvement in SDG initiatives is often driven by a variety of factors, including both the business and development aspects of the SDGs. The study also shows that although private philanthropy is crucial to achieving the SDGs, it struggles to maintain its transparency and impact. To achieve the SDG targets, the study suggests that the private sector increase its involvement and improve cooperation with other stakeholders. The study also concludes that to improve policymaking and create a more effective development finance spectrum, more research on the relationship between business and development financing is needed. This paper contributes to the larger conversation concerning the function and effects of private sector support for the SDGs in developing nations.
Achieving the Sustainable Development Goals (SDGs) requires not only national budgetary revenues but also the private sector and other funding sources. A significant number of development actors consider the private sector to be an essential partner and advocate for development cooperation. International development places a special emphasis on formalised private philanthropic organizations. This study examines how the Sustainable Development Goals affect the flow of private philanthropic aid to developing countries. The study also wants to know if private development funding is utilised for development alone or other purposes. Secondary sources of information from credible books, journals, and official reports from various development organizations were used in the study. Thus, a desktop qualitative analysis was used to examine the data. The paper bases its argument on the dual interest model, which contends that recipient needs and donor interests influence private-sector giving. The study finds that corporate philanthropists have made SDG targets a major theme in their programmatic and financial work. The results show that corporate philanthropists' involvement in SDG initiatives is often driven by a variety of factors, including both the business and development aspects of the SDGs. The study also shows that although private philanthropy is crucial to achieving the SDGs, it struggles to maintain its transparency and impact. To achieve the SDG targets, the study suggests that the private sector increase its involvement and improve cooperation with other stakeholders. The study also concludes that to improve policymaking and create a more effective development finance spectrum, more research on the relationship between business and development financing is needed. This paper contributes to the larger conversation concerning the function and effects of private sector support for the SDGs in developing nations.
There is a scarcity of research on the analysis of thresholds of official development assistance (ODA), foreign direct investment (FDI), and economic growth in Africa. Most of the studies focused on analysing the correlation between official development assistance (ODA) or foreign direct investment (FDI) and economic growth. This study stands out from others by adopting a comprehensive approach to analyse the threshold analysis of ODA, FDI, and economic growth in many countries on a continental scale. We examine the threshold for ODA, FDI, and economic growth by analysing annual data from 1980 to 2018 in 30 African countries. The primary method used for the estimation was the panel threshold regression approach. The threshold analysis test assessed the impact of ODA, FDI, and economic growth. The current study utilised threshold analysis and found a positive coefficient of 0.0620, indicating a favourable correlation between FDI and economic growth. On the contrary, the negative coefficient of 0.0683 shows a detrimental correlation between ODA and economic growth. Therefore, officials must enforce the level of ODA that is necessary to stimulate FDI and foster economic growth in Africa. Furthermore, it is crucial for authorities to implement a monitoring system to closely monitor these thresholds and adjust the policy accordingly in response to changing economic situations. The findings of this study will not only contribute to academic discourse, but will also provide vital perspectives for politicians, practitioners, enterprises, and foreign investors on how to effectively implement policies that stimulate economic growth and attract foreign investment in Africa. Furthermore, this study offers recommendations for further research in the domain of international capital flows.
The study sought to investigate the effect of foreign aid and capital flow on real economic growth for the SADC region. Eleven member states of the SADC region are selected for analysis based on data availability. In the study, foreign aid is represented by official development assistance (ODA), external debt (EXTD), and debt service cost (DSC) while the inflow of foreign direct investment represents capital flow (FDI). Annual percentage growth of per capita Gross Domestic Product (GDPpc) is used as a proxy of real economic growth. Trade balance (TRO) is included in the model regression as a control variable. The study employed panel econometric models. The results of panel ARDL indicate that ODA and FDI were found to have a negligible effect on real growth in the short run but contribute positively and significantly in the long run. This revelation supports the view that ODA and FDI are essential determinants of growth. On the other hand, EXTD together with its associated costs was found to have a detrimental effect both in the short run and long run. Based on the results of the study, the authors put forward the following policy recommendations for the SADC region: most importantly, there ought to be effective management of external debt by SADC countries to reduce their overdependency on external debt for their domestic needs. Given the positive effect of FDI in the region, the SADC region needs to intensify its efforts in devising measures that will attract foreign investors to the region which among others include pursuing inclusive and sustainable economic growth. Lastly, there is a need for effective management and official development aid to ensure sustainable growth.
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |