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 00:49 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.
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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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): 2026-10-21T00:49:36.248913+00:00 — 2026-10-21T07:23:07.455390+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 | 0 | 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 |
|---|---|
| 2021 | 1 |
| 2024 | 1 |
| 2026 | 1 |
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 | 0 | 1 | 3/3 | 0.0 | 0 | 0.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
Diaspora remittances constitute a major source of external finance for Zimbabwe, reflecting sustained outward migration driven by economic instability and limited domestic opportunities. Despite their growing macroeconomic significance, remittance inflows have not translated into meaningful increases in gross capital formation or sustained rural development. This study examines this apparent contradiction, conceptualised as the migration paradox, by analysing the structural, institutional, and policy constraints that limit the conversion of remittances into productive investment in rural Zimbabwe. Using a Delphi methodology, the study draws on expert consensus from policymakers, academics, development practitioners, financial sector professionals, and diaspora engagement specialists through three iterative rounds. The findings reveal strong agreement that remittances are predominantly channelled toward household consumption, social reproduction, and risk mitigation, rather than capital accumulation. Weak financial intermediation, policy inconsistency, insecure property rights, high rural investment risk, and the absence of credible diaspora investment instruments emerge as key binding constraints to gross capital formation. While remittances contribute positively to household welfare, that is, enhancing food security, education, health, and housing, their impact on productive investment and rural structural transformation remains limited. The study concludes that the remittance–capital formation gap reflects institutional and governance failures rather than migrant preferences. It argues for repositioning diaspora remittances as a complementary source of development finance through credible policy reforms, improved investment climates, and financial innovations that mobilise remittances into gross capital formation and rural development.
This study examines the short-run and long-run relationships between remittances and economic growth in Zimbabwe from 1980 to 2022, using the autoregressive distributed lag (ARDL) bounds testing approach. To ensure the reliability, validity, and stability of the data, the study used the Jacque-Bera normality test, Breusch Godfrey serial LM test, and Bruesch-Pagan-Godfrey heteroskedasticity test together with a cumulative sum of recursive residuals and cumulative sum of recursive squares. The dependent variable in this study is domestic credit to the private sector as a percentage of GDP, and the independent personal remittances as a percentage of GDP, with the control variables per capita GDP growth, inflation, and gross fixed capital formation. The theoretical framework explores key perspectives, including the remittance-development optimist view, which posits that remittances can drive investment and economic progress; the supply-leading hypothesis, suggesting financial development as a precursor to economic growth; and the growth-led hypothesis, which sees economic development as a catalyst for financial development. The results from the ARDL test show no evidence of co-integration in the long run; however, in the short run, a significant positive effect on financial development is observed. This finding supported the complementarity theory and showed how remittances stimulate demand for financial services. Particularly problematic was the negative and statistically significant effect of inflation on financial development, which can potentially harm the performance of financial markets and slow down financial activities. The study suggests implementing targeted policies to limit parallel market activities and direct resources towards the formal sector.
The study examined diaspora remittances and the development of small and medium enterprises (SMEs) in Benin-City. The objective of the study is to establish the impacts of diaspora remittances on the development of SMEs in Benin- City. The survey approach involved an online study. The major sources of data used were primary and secondary data. The primary data were elicited through the use of an online questionnaire. The data were analyzed and presented using a statistical technique such as tables and percentages. The secondary data adopted a longitudinal research design covering the period 1991-2018, which is readily available in World Bank data. The technique adopted is multiple regressions to test the hypothesis. E-view econometric software 8.0 was used for the analysis. The result revealed that in the long run, migrant remittance (MRI) and exchange rate (EXCR) which is a supporting variable have a positive and significant impact on the development of small and medium enterprises (DSMEs) in Nigeria. The result also revealed that most diaspora remittances are on consumption. Based on the above findings, it was recommended that the government should develop a policy framework that will harness the effort of diaspora toward the development of the economy of the state, and Edo state government should collaborate with agencies in charge of remittances to remove all encumbrances to remittances to encourage the diaspora to improve on their remittances.
Diaspora remittances constitute a major source of external finance for Zimbabwe, reflecting sustained outward migration driven by economic instability and limited domestic opportunities. Despite their growing macroeconomic significance, remittance inflows have not translated into meaningful increases in gross capital formation or sustained rural development. This study examines this apparent contradiction, conceptualised as the migration paradox, by analysing the structural, institutional, and policy constraints that limit the conversion of remittances into productive investment in rural Zimbabwe. Using a Delphi methodology, the study draws on expert consensus from policymakers, academics, development practitioners, financial sector professionals, and diaspora engagement specialists through three iterative rounds. The findings reveal strong agreement that remittances are predominantly channelled toward household consumption, social reproduction, and risk mitigation, rather than capital accumulation. Weak financial intermediation, policy inconsistency, insecure property rights, high rural investment risk, and the absence of credible diaspora investment instruments emerge as key binding constraints to gross capital formation. While remittances contribute positively to household welfare, that is, enhancing food security, education, health, and housing, their impact on productive investment and rural structural transformation remains limited. The study concludes that the remittance–capital formation gap reflects institutional and governance failures rather than migrant preferences. It argues for repositioning diaspora remittances as a complementary source of development finance through credible policy reforms, improved investment climates, and financial innovations that mobilise remittances into gross capital formation and rural development.
This study examines the short-run and long-run relationships between remittances and economic growth in Zimbabwe from 1980 to 2022, using the autoregressive distributed lag (ARDL) bounds testing approach. To ensure the reliability, validity, and stability of the data, the study used the Jacque-Bera normality test, Breusch Godfrey serial LM test, and Bruesch-Pagan-Godfrey heteroskedasticity test together with a cumulative sum of recursive residuals and cumulative sum of recursive squares. The dependent variable in this study is domestic credit to the private sector as a percentage of GDP, and the independent personal remittances as a percentage of GDP, with the control variables per capita GDP growth, inflation, and gross fixed capital formation. The theoretical framework explores key perspectives, including the remittance-development optimist view, which posits that remittances can drive investment and economic progress; the supply-leading hypothesis, suggesting financial development as a precursor to economic growth; and the growth-led hypothesis, which sees economic development as a catalyst for financial development. The results from the ARDL test show no evidence of co-integration in the long run; however, in the short run, a significant positive effect on financial development is observed. This finding supported the complementarity theory and showed how remittances stimulate demand for financial services. Particularly problematic was the negative and statistically significant effect of inflation on financial development, which can potentially harm the performance of financial markets and slow down financial activities. The study suggests implementing targeted policies to limit parallel market activities and direct resources towards the formal sector.
The study examined diaspora remittances and the development of small and medium enterprises (SMEs) in Benin-City. The objective of the study is to establish the impacts of diaspora remittances on the development of SMEs in Benin- City. The survey approach involved an online study. The major sources of data used were primary and secondary data. The primary data were elicited through the use of an online questionnaire. The data were analyzed and presented using a statistical technique such as tables and percentages. The secondary data adopted a longitudinal research design covering the period 1991-2018, which is readily available in World Bank data. The technique adopted is multiple regressions to test the hypothesis. E-view econometric software 8.0 was used for the analysis. The result revealed that in the long run, migrant remittance (MRI) and exchange rate (EXCR) which is a supporting variable have a positive and significant impact on the development of small and medium enterprises (DSMEs) in Nigeria. The result also revealed that most diaspora remittances are on consumption. Based on the above findings, it was recommended that the government should develop a policy framework that will harness the effort of diaspora toward the development of the economy of the state, and Edo state government should collaborate with agencies in charge of remittances to remove all encumbrances to remittances to encourage the diaspora to improve on their remittances.
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 |