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OpenAlex coverage 100.0% · 6/6 recordsLast OpenAlex observation 22 Oct 2026, 03:22 UTC
PUBLICATIONS6In the selected collection
CROSSREF CITATIONS23/6 with known counts
OPENALEX CITATIONS26/6 with known counts
OPENALEX MEAN0.33Per article with a known count
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topic: Banking stability, regulation, efficiency Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

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2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Research landscape

Leading affiliations and themes in this collection.

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Institutions

University of Buea1University of South Africa1Durban University of Technology16/6 records with data

Countries

United States2South Africa2Cameroon16/6 records with data

Primary topics

Banking stability, regulation, efficiency66/6 records with data
Two perspectives on citations

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Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

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Annual history: 6/6 articles. Latest history observation: 2026-10-22T03:22:37.234834+00:00. Source totals are never added together.
Research side by side

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Display range
International Journal of Business Ecosystem & StrategyInternational Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
6 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS6
CROSSREF CITATIONS2
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS0.67

Crossref citation coverage: 3 / 6 publications (50.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS2
DOI MATCH COVERAGE100.0%6 / 6 publications
MEAN · KNOWN COUNTS ONLY0.336 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.0

Observation range: 21 Oct 2026 07:23 UTC — 22 Oct 2026 03:22 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–526–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.

Countries

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.

Primary topics

6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.

Citation year / OpenAlex

Citations received over time

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 6 / 6 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): 2026-10-21T07:23:09.631720+00:00 — 2026-10-22T03:22:37.234834+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 6/62026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 6/6 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications066/6
2018All selected publications066/6
2019All selected publications066/6
2020All selected publications066/6
2021All selected publications066/6
2022All selected publications066/6
2023All selected publications066/6
2024All selected publications066/6
2025All selected publications066/6
2026All selected publications266/6

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean0.67
Median1
No citations11–526–20021+0Unknown3

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
2222/21.01.0100.02/2 · 100.0%
International Journal of Finance & Banking Studies
SSBFNET
3—03/3———0/3 · 0.0%
International Journal of Research in Business and Social Science
SSBFNET
1001/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 6 →

Most cited · Crossref

JOURNAL ARTICLE

Determinants of capital adequacy of commercial banks in South Africa: A panal and dynamic approach

Thabiso Sthembiso Msomi · Kansilembo Freddy Aliamutu

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

This study explored the bank-specific and macroeconomic factors influencing capital adequacy in South African commercial banks. In this research, a balanced panel data set comprising 11 recapitalized banks was employed, spanning the period from 2008 to 2019. Employing panel regression techniques including OLS, Fixed Effects, Random Effects, and the Generalized Method of Moments (GMM), the analysis examines the influence of profitability (ROA), bank size, leverage, broad money supply, and the central bank’s monetary policy rate on the Capital Adequacy Ratio (CAR). The results indicate that profitability, bank size, leverage, and the broad money supply are critical determinants of capital sufficiency. Banks with increased profitability and increased exposure to the money supply typically demonstrate more robust capital positions. Larger bank size and increased leverage levels negatively affect capital adequacy ratios. The little impact of the delayed CAR signifies minimal persistence in capital buffer methods over time, implying that banks may not significantly depend on prior year capital conditions in their current capital planning. The study highlights the complex nature of capital sufficiency, influenced by microeconomic factors such as size and leverage, as well as macroeconomic indices like the money supply. The findings substantiate the Capital Buffer Theory and furnish critical insights for regulators, bank executives, and policymakers seeking to bolster the resilience of the banking industry in South Africa.

DOI 10.36096/ijbes.v7i6.10001 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Investor sentiment and behavioural biases in bank performance during COVID-19: Evidence from South Africa

Kgahlego Phala · Fabian Moodley · Sune Ferreira-Schenk

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The COVID-19 pandemic triggered a global economic crisis that significantly impacted the South African banking sector, already weakened by a pre-existing recession. While bank profitability and credit quality declined, stock market reactions appeared less severe, indicating a potential disconnect between fundamentals and investor behaviour. This study explores the influence of investor sentiment on credit risk, lending, and performance (ROA) of selected JSE-listed banks during the pandemic, incorporating behavioural finance perspectives. Panel regression analysis reveals that COVID-19 had a significant negative effect on stock, ROA and ROE, driven by heightened uncertainty and rising non-performing loans. Liquidity and capital positively influenced returns and ROE, reflecting investor confidence in resilient banks. Investor sentiment had a weakly positive impact on returns, but a significant negative effect on both ROA and ROE, suggesting that excessive optimism may have led to riskier lending practices and reduced profitability. Larger banks underperformed in terms of returns, likely due to operational complexity during the crisis. These findings highlight the critical role of behavioural factors in shaping financial outcomes during systemic shocks and provide new insights into emerging market banking dynamics under crisis conditions.

DOI 10.36096/em8313511 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Effect of Deposit Diversification on Financial Performance of Deposit Taking Saccos in Kenya: The Moderating Role of corporate Governance

Gilbert Lumbasi Chepkania · Maniagi Musiega · Charles Tibbs

International Journal of Research in Business and Social Science · 2026

Read abstract

This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship.  The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.

DOI 10.20525/ijrbs.v15i5.53200 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The Impact of Liquidity on Profitability of U.S. Commercial Banks: Evidence from Panel Data Analysis Using FDIC Call Reports

Hossain, Md Shehab · Saddam Nasir Chowdhury

International Journal of Finance & Banking Studies · 2026

Read abstract

Maintaining adequate liquidity while preserving profitability remains a central challenge for commercial banks because liquid assets strengthen resilience but typically generate lower returns than loans and other earning assets. This study investigates the effect of liquidity on the profitability of U.S. commercial banks using 8,000 quarterly bank observations for 2010–2024. Profitability is measured by return on assets (ROA), with return on equity (ROE) used for robustness, while liquidity, capital adequacy, the loan-to-asset ratio, and bank size are modeled as explanatory variables. Pooled OLS, fixed-effects, and random-effects estimators are compared, and diagnostic tests support a two-way fixed-effects model with standard errors clustered by bank and quarter. The preferred estimates show that a one-percentage-point increase in the liquidity ratio reduces annualized ROA by 0.0183 percentage points (SE = 0.0031; p < 0.001). A one-standard-deviation rise in liquidity, equal to 5.52 percentage points, lowers ROA by approximately 0.101 percentage points, representing 9.2% of the sample mean ROA of 1.097%. Capital adequacy increases ROA by 0.0530 percentage points, and the loan-to-asset ratio increases it by 0.0148 percentage points, both at p < 0.001, whereas bank size is insignificant (β = 0.1008; p = 0.352). The ROE robustness model also yields a negative liquidity coefficient of −0.1074 (p < 0.001). The findings confirm a measurable liquidity–profitability trade-off and support risk-sensitive liquidity regulation that protects financial stability without encouraging persistently excessive holdings of low-yield liquid assets.

DOI 10.20525/ijfbs.v15i4.5351N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Risk Asset Exposure and Bank Performance in Emerging Markets: Panel Evidence from Cameroon

Fossung, Michael Forzeh · Njei, Gisele · Tapang, Arzizeh Tiesieh

International Journal of Finance & Banking Studies · 2026

Read abstract

This study examines whether risk asset exposure affects the financial performance of commercial banks in Cameroon, a bank-dominated economy of the Central African Economic and Monetary Community (CEMAC). Risk asset exposure is measured by lending intensity (the loan-to-deposit ratio) and credit expansion (annual loan growth), and performance by return on assets (ROA). The data form a balanced panel of ten commercial banks over 2014–2024, compiled from the prudential reporting system of the Central African Banking Commission (COBAC) as published by Cameroon's National Economic and Financial Committee. Bank fixed-effects regressions with bank-clustered standard errors are complemented by a wild-cluster bootstrap suited to few clusters, Driscoll–Kraay standard errors, lagged regressors, panel Granger non-causality tests and a within–between (Mundlak) decomposition that separates changes in a bank's own exposure from persistent differences between banks. The main findings are that (i) neither lending intensity nor credit expansion is significantly associated with profitability in any specification (bootstrap p = 0.81 and 0.30), and the confidence intervals exclude effects larger than about one percentage point of ROA; (ii) lending intensity is unrelated to profitability both within banks over time and between banks (between-effect bootstrap p = 0.88); and (iii) the COVID-19 years of 2020–2021 were associated with ROA about 0.70 percentage points lower (bootstrap p = 0.009). The results indicate a limited role for lending exposure, while significant bank fixed effects and the COVID-19 coefficient point to persistent bank heterogeneity and common systemic shocks. Because the sample comprises ten banks under a single regulator, the findings should be interpreted with caution.

DOI 10.20525/ijfbs.v15i4.5090N/A Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

The Impact of Liquidity on Profitability of U.S. Commercial Banks: Evidence from Panel Data Analysis Using FDIC Call Reports

Hossain, Md Shehab · Saddam Nasir Chowdhury

International Journal of Finance & Banking Studies · 2026

Read abstract

Maintaining adequate liquidity while preserving profitability remains a central challenge for commercial banks because liquid assets strengthen resilience but typically generate lower returns than loans and other earning assets. This study investigates the effect of liquidity on the profitability of U.S. commercial banks using 8,000 quarterly bank observations for 2010–2024. Profitability is measured by return on assets (ROA), with return on equity (ROE) used for robustness, while liquidity, capital adequacy, the loan-to-asset ratio, and bank size are modeled as explanatory variables. Pooled OLS, fixed-effects, and random-effects estimators are compared, and diagnostic tests support a two-way fixed-effects model with standard errors clustered by bank and quarter. The preferred estimates show that a one-percentage-point increase in the liquidity ratio reduces annualized ROA by 0.0183 percentage points (SE = 0.0031; p < 0.001). A one-standard-deviation rise in liquidity, equal to 5.52 percentage points, lowers ROA by approximately 0.101 percentage points, representing 9.2% of the sample mean ROA of 1.097%. Capital adequacy increases ROA by 0.0530 percentage points, and the loan-to-asset ratio increases it by 0.0148 percentage points, both at p < 0.001, whereas bank size is insignificant (β = 0.1008; p = 0.352). The ROE robustness model also yields a negative liquidity coefficient of −0.1074 (p < 0.001). The findings confirm a measurable liquidity–profitability trade-off and support risk-sensitive liquidity regulation that protects financial stability without encouraging persistently excessive holdings of low-yield liquid assets.

DOI 10.20525/ijfbs.v15i4.5351N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Risk Asset Exposure and Bank Performance in Emerging Markets: Panel Evidence from Cameroon

Fossung, Michael Forzeh · Njei, Gisele · Tapang, Arzizeh Tiesieh

International Journal of Finance & Banking Studies · 2026

Read abstract

This study examines whether risk asset exposure affects the financial performance of commercial banks in Cameroon, a bank-dominated economy of the Central African Economic and Monetary Community (CEMAC). Risk asset exposure is measured by lending intensity (the loan-to-deposit ratio) and credit expansion (annual loan growth), and performance by return on assets (ROA). The data form a balanced panel of ten commercial banks over 2014–2024, compiled from the prudential reporting system of the Central African Banking Commission (COBAC) as published by Cameroon's National Economic and Financial Committee. Bank fixed-effects regressions with bank-clustered standard errors are complemented by a wild-cluster bootstrap suited to few clusters, Driscoll–Kraay standard errors, lagged regressors, panel Granger non-causality tests and a within–between (Mundlak) decomposition that separates changes in a bank's own exposure from persistent differences between banks. The main findings are that (i) neither lending intensity nor credit expansion is significantly associated with profitability in any specification (bootstrap p = 0.81 and 0.30), and the confidence intervals exclude effects larger than about one percentage point of ROA; (ii) lending intensity is unrelated to profitability both within banks over time and between banks (between-effect bootstrap p = 0.88); and (iii) the COVID-19 years of 2020–2021 were associated with ROA about 0.70 percentage points lower (bootstrap p = 0.009). The results indicate a limited role for lending exposure, while significant bank fixed effects and the COVID-19 coefficient point to persistent bank heterogeneity and common systemic shocks. Because the sample comprises ten banks under a single regulator, the findings should be interpreted with caution.

DOI 10.20525/ijfbs.v15i4.5090N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Effect of Deposit Diversification on Financial Performance of Deposit Taking Saccos in Kenya: The Moderating Role of corporate Governance

Gilbert Lumbasi Chepkania · Maniagi Musiega · Charles Tibbs

International Journal of Research in Business and Social Science · 2026

Read abstract

This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship.  The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.

DOI 10.20525/ijrbs.v15i5.53200 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

More Insurance, More Deposits? How Supplemental Private Excess Deposit Insurance Shapes Deposit Growth and Funding Costs for U.S. Credit Unions

Boehme, Rodney · Craft, Timothy

International Journal of Finance & Banking Studies · 2026

Read abstract

This paper examines how uninsured deposits influence credit union funding and whether private excess deposit insurance alters the stability, pricing, and lending capacity of uninsured deposits — deposits that exceed the federal deposit insurance limit. Using U.S. credit union Call Report data from 1995–2022, we exploit variation across institution size, insurance regime, and participation in optional private excess deposit insurance.  We distinguish between pre-crisis (1995–2007) and post-crisis (2009–2022) periods surrounding the 2008 expansion of federal insurance limits.  We document pronounced heterogeneity across the size distribution.  For small credit unions, uninsured deposits are limited in scale and are associated with lower loan intensity.  In contrast, uninsured deposits play a central funding role for large credit unions, which account for 94% of industry assets and 97% of uninsured deposits. For these institutions, uninsured deposits support lending and command higher funding costs — effects that are significantly moderated by excess deposit insurance, reducing funding costs by approximately 27 basis points during the pre-crisis period.  Following 2008, excess insurance participation declines among large institutions but increases modestly among small firms.  Overall, excess deposit insurance functions as a partial substitute for federal coverage, stabilizing uninsured funding without increasing delinquency rates — evidence against moral hazard.

DOI 10.20525/ijfbs.v15i2.5019N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Determinants of capital adequacy of commercial banks in South Africa: A panal and dynamic approach

Thabiso Sthembiso Msomi · Kansilembo Freddy Aliamutu

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

This study explored the bank-specific and macroeconomic factors influencing capital adequacy in South African commercial banks. In this research, a balanced panel data set comprising 11 recapitalized banks was employed, spanning the period from 2008 to 2019. Employing panel regression techniques including OLS, Fixed Effects, Random Effects, and the Generalized Method of Moments (GMM), the analysis examines the influence of profitability (ROA), bank size, leverage, broad money supply, and the central bank’s monetary policy rate on the Capital Adequacy Ratio (CAR). The results indicate that profitability, bank size, leverage, and the broad money supply are critical determinants of capital sufficiency. Banks with increased profitability and increased exposure to the money supply typically demonstrate more robust capital positions. Larger bank size and increased leverage levels negatively affect capital adequacy ratios. The little impact of the delayed CAR signifies minimal persistence in capital buffer methods over time, implying that banks may not significantly depend on prior year capital conditions in their current capital planning. The study highlights the complex nature of capital sufficiency, influenced by microeconomic factors such as size and leverage, as well as macroeconomic indices like the money supply. The findings substantiate the Capital Buffer Theory and furnish critical insights for regulators, bank executives, and policymakers seeking to bolster the resilience of the banking industry in South Africa.

DOI 10.36096/ijbes.v7i6.10001 Crossref citations1 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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