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: 2 / 2 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 01:34 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 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 2 / 2 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): 2026-10-21T07:22:59.257397+00:00 — 2026-10-22T01:34:53.126884+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 1 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
This paper examines the socio-economic dimensions of population migration, emphasising its role as a vital social process within the broader societal framework. Employing a structural-functional approach, the study highlights how migration is shaped by and contributes to societal structures, norms, and cultural dynamics. Migration is influenced by socio-structural and cultural factors, reflecting the interconnectedness of institutions and societal conditions. For instance, urban industrial societies, characterised by institutional and structural compatibility, encourage rapid spatial mobility and long-distance migration. Conversely, traditional rural agrarian societies favour limited mobility and slower migration rates. Drawing on Durkheim’s theory of social evolution, the paper underscores migration’s transformative impact on society. It facilitates the transition from segmented, mechanically organised societies to complex, interdependent ones with advanced divisions of labour. This evolution signifies migration’s role as a driver of societal progress and adaptation. Secondary data analysis reveals that socio-cultural considerations, including family circumstances, are as influential as economic factors in migration decisions. The paper argues for government initiatives that promote social cohesion and regional integration to enable equitable migration opportunities. Such policies are essential for harnessing migration’s potential as a tool for societal advancement. By addressing the interplay of social, cultural, and economic factors, the study provides a nuanced understanding of migration as a dynamic and socially conditioned phenomenon. This research contributes to the discourse on population mobility by linking structural-functional theory with contemporary migration dynamics and policy implications.
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.
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.
This paper examines the socio-economic dimensions of population migration, emphasising its role as a vital social process within the broader societal framework. Employing a structural-functional approach, the study highlights how migration is shaped by and contributes to societal structures, norms, and cultural dynamics. Migration is influenced by socio-structural and cultural factors, reflecting the interconnectedness of institutions and societal conditions. For instance, urban industrial societies, characterised by institutional and structural compatibility, encourage rapid spatial mobility and long-distance migration. Conversely, traditional rural agrarian societies favour limited mobility and slower migration rates. Drawing on Durkheim’s theory of social evolution, the paper underscores migration’s transformative impact on society. It facilitates the transition from segmented, mechanically organised societies to complex, interdependent ones with advanced divisions of labour. This evolution signifies migration’s role as a driver of societal progress and adaptation. Secondary data analysis reveals that socio-cultural considerations, including family circumstances, are as influential as economic factors in migration decisions. The paper argues for government initiatives that promote social cohesion and regional integration to enable equitable migration opportunities. Such policies are essential for harnessing migration’s potential as a tool for societal advancement. By addressing the interplay of social, cultural, and economic factors, the study provides a nuanced understanding of migration as a dynamic and socially conditioned phenomenon. This research contributes to the discourse on population mobility by linking structural-functional theory with contemporary migration dynamics and policy implications.
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 |