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 01:19 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 9 | 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): 2026-10-21T07:22:48.120399+00:00 — 2026-10-22T01:19:37.631943+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 | 1 | 3 | 3/3 |
| 2024 | All selected publications | 4 | 3 | 3/3 |
| 2025 | All selected publications | 4 | 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 |
|---|---|
| 2023 | 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 Finance & Banking Studies SSBFNET | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 6 | 8 | 2/2 | 3.0 | 3.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study investigated the nexus between financial development and economic growth, exploring the short-run and long-run impact of financial development on economic growth in the Sothern African Development Community (SADC). The SADC was fragmented into middle-income countries and low-income countries so as to ascertain the income effect on the nature of the relationship, an exploration not considered by previous studies. The study used panel data covering the period 1980 to 2020. It employed the Autoregressive Distributed Lag (ARDL) Bounds and the Toda and Yamamoto and Dolado and Lütkepohl (TYDL) models to examine the relationship and the direction of causality respectively. In the short run, financial development, through domestic credit to the private sector, spurs economic growth and in the long run financial development focus should be on promoting bank deposits. Causality tests between economic growth and financial development tests showed mixed results depending on the variable used for measuring financial development. In addition, the SADC countries are encouraged to strengthen their financial sector legislation, strategies, and banking system supervision so as to enhance the financial sector efficiency as well as to realise the benefits of financial innovation.
This research examines domestic debt, private sector lending, and economic development in emerging countries, focusing on Bangladesh. This analysis uses 1960–2022 Bangladeshi secondary data, World Bank World Development Indicators and Bangladesh Ministry of Finance economic statistics. Domestic debt and private sector credit affect emerging nations' economic development, according to this study's theoretical approach. This research examines the link between two factors to add to the literature and provide Bangladesh-specific insights. It is quantitative research that examines domestic debt, private sector credit, and economic development using regression analysis and statistical testing. The conclusions aids Bangladesh's economic development policymakers, economists, and stakeholders. Understanding national debt, financing from the private sector, and the advancement of the country's economy helps policymakers manage debt, allocate credit, and set economic policy. The conducted study also improves theoretical understanding of economic development in underdeveloped countries and illuminates Bangladesh's unique conditions. It examined household debt, private sector lending, and Bangladeshi economic development as well as examines the patterns of economic growth in emerging nations to enhance policy debates and broaden knowledge.
Despite the many studies on inflation, stock prices, and foreign exchange reserves, there is still little research linking these three with world oil prices to the rupiah exchange rate, especially comparing them to conditions before and after the pandemic. This study aimed to test and analyze the effect of inflation, stock prices, foreign exchange reserves, and world oil prices on the rupiah exchange rate against the dollar. The object of this research is Bank Indonesia and the Stock Exchange by producing a sample in this study which is 62 months. The data is divided into 2 categories 31 months before the co-19 pandemic and 31 months during the co-19 pandemic. Data collection techniques in this study used secondary data.
This research examines domestic debt, private sector lending, and economic development in emerging countries, focusing on Bangladesh. This analysis uses 1960–2022 Bangladeshi secondary data, World Bank World Development Indicators and Bangladesh Ministry of Finance economic statistics. Domestic debt and private sector credit affect emerging nations' economic development, according to this study's theoretical approach. This research examines the link between two factors to add to the literature and provide Bangladesh-specific insights. It is quantitative research that examines domestic debt, private sector credit, and economic development using regression analysis and statistical testing. The conclusions aids Bangladesh's economic development policymakers, economists, and stakeholders. Understanding national debt, financing from the private sector, and the advancement of the country's economy helps policymakers manage debt, allocate credit, and set economic policy. The conducted study also improves theoretical understanding of economic development in underdeveloped countries and illuminates Bangladesh's unique conditions. It examined household debt, private sector lending, and Bangladeshi economic development as well as examines the patterns of economic growth in emerging nations to enhance policy debates and broaden knowledge.
This study investigated the nexus between financial development and economic growth, exploring the short-run and long-run impact of financial development on economic growth in the Sothern African Development Community (SADC). The SADC was fragmented into middle-income countries and low-income countries so as to ascertain the income effect on the nature of the relationship, an exploration not considered by previous studies. The study used panel data covering the period 1980 to 2020. It employed the Autoregressive Distributed Lag (ARDL) Bounds and the Toda and Yamamoto and Dolado and Lütkepohl (TYDL) models to examine the relationship and the direction of causality respectively. In the short run, financial development, through domestic credit to the private sector, spurs economic growth and in the long run financial development focus should be on promoting bank deposits. Causality tests between economic growth and financial development tests showed mixed results depending on the variable used for measuring financial development. In addition, the SADC countries are encouraged to strengthen their financial sector legislation, strategies, and banking system supervision so as to enhance the financial sector efficiency as well as to realise the benefits of financial innovation.
Despite the many studies on inflation, stock prices, and foreign exchange reserves, there is still little research linking these three with world oil prices to the rupiah exchange rate, especially comparing them to conditions before and after the pandemic. This study aimed to test and analyze the effect of inflation, stock prices, foreign exchange reserves, and world oil prices on the rupiah exchange rate against the dollar. The object of this research is Bank Indonesia and the Stock Exchange by producing a sample in this study which is 62 months. The data is divided into 2 categories 31 months before the co-19 pandemic and 31 months during the co-19 pandemic. Data collection techniques in this study used secondary data.
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 |