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OpenAlex coverage 100.0% · 11/11 recordsLast OpenAlex observation 22 Oct 2026, 04:34 UTC
PUBLICATIONS11In the selected collection
CROSSREF CITATIONS3611/11 with known counts
OPENALEX CITATIONS7511/11 with known counts
OPENALEX MEAN6.82Per 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

Open University of Sri Lanka4University of Nairobi1Kenyatta University111/11 records with data

Countries

Sri Lanka4Kenya2Bangladesh111/11 records with data

Primary topics

Banking stability, regulation, efficiency1111/11 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: 11/11 articles. Latest history observation: 2026-10-22T04:34:01.274277+00:00. Source totals are never added together.
Research side by side

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Display range
International 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

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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
11 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS11
CROSSREF CITATIONS36
CROSSREF · CITED PUBLICATIONS54.5%
CROSSREF · MEAN CITATIONS3.27

Crossref citation coverage: 11 / 11 publications (100.0%). 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 CITATIONS75
DOI MATCH COVERAGE100.0%11 / 11 publications
MEAN · KNOWN COUNTS ONLY6.8211 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1

Observation range: 21 Oct 2026 00:22 UTC — 22 Oct 2026 04:34 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–546–20221+1Unknown0

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.

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 11 / 11 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): 2026-10-21T00:22:02.320899+00:00 — 2026-10-22T04:34:01.274277+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

2110.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 11/112021 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 11/112022 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 11/112023 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 11/112024 · All selected publications · OpenAlex · Citations received by year: 21 · Annual history coverage 11/112025 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 11/112026 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 11/11 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications01111/11
2018All selected publications01111/11
2019All selected publications01111/11
2020All selected publications01111/11
2021All selected publications41111/11
2022All selected publications201111/11
2023All selected publications101111/11
2024All selected publications211111/11
2025All selected publications101111/11
2026All selected publications101111/11

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.

Mean3.27
Median1
No citations51–546–20121+1Unknown0

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 Finance & Banking Studies
SSBFNET
510175/52.0180.05/5 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
626586/64.330.033.36/6 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 11 →

Most cited · Crossref

JOURNAL ARTICLE

The impact of credit risk management on the financial performance of United Arab Emirates commercial banks

Jamil Salem Al Zaidanin · Omar Jamil Al Zaidanin

International Journal of Research in Business and Social Science · 2021

Read abstract

The main purpose of this study is to measure up to what extent the independent factors defined by capital adequacy ratio, non-performing loans ratio, cost-income ratio, liquidity ratio, and loans-to-deposits ratio impact the financial performance of sixteen commercial banks operating in the United Arab Emirates using panel data for the period of 2013-2019. The secondary data was collected from banks and examined by applying standard descriptive statistics and the random effect model for hypothesis testing. It is concluded from the regression outcomes that non-performing loans ratio and cost-income ratio have a significant negative impact on commercial banks profitability in the United Arab Emirates, while capital adequacy ratio, liquidity ratio, and loans -to-deposits ratio all have a very weak positive relationship on the return on assets but they are not determinants of bank’s profitability due to the insignificant statistical impact on it. It is therefore suggested that to enhance financial performance and minimize the risk of non-performing loans in the future, banks must watch very carefully the loans’ performance and analyze thoroughly the clients’ credit history and ability to pay back their debts prior to any approval of loan applications. Furthermore, banks should continuously improve their assets utilization, liquidity, and techniques of managing operating costs, improve the impact of capital adequacy, and the use of deposits for lending activities from a weak positive impact to a significant positive impact on their profitability. The researchers recommend that future studies on credit risk management influence on banks’ financial performance should consider more independent variables and longer periods of study such as twenty or thirty years to have more accuracy and generalized results.  

DOI 10.20525/ijrbs.v10i3.110223 Crossref citations46 OpenAlex citations
JOURNAL ARTICLE

What Drives Bank Profitability? A Panel Data Analysis of Commercial Banks in Bangladesh

Rana-Al-Mosharrafa · Md. Shahidul Islam

International Journal of Finance & Banking Studies · 2021

Read abstract

Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.

DOI 10.20525/ijfbs.v10i2.12367 Crossref citations14 OpenAlex citations
JOURNAL ARTICLE

Effect of liquidity risk on the financial performance of deposit taking savings and credit cooperative organisations (SACCOs) in Kenya

Benjamin Otwoko · Kimani Maina

International Journal of Research in Business and Social Science · 2021

Read abstract

Liquidity risk is the potential that an entity will be unable to acquire the cash required to meet its short and intermediate-term obligations. Deposit-taking Savings and Credit Cooperative Organisation (SACCOs) face liquidity risk when they are unable to fund their operations and lending requirements to their members as and when circumstances demand. Given that liquidity is a key phenomenon on the optimal functioning and financial performance of deposit-taking SACCOs, this study critically analyzed the effect of liquidity risk on the financial performance of DT SACCOs in Kenya. The study used a descriptive survey design and employed regression methods to model the relationship between liquidity risk and financial performance of DT SACCOs. The data were analyzed at a 5% level of significance. The study findings revealed that at a 5% level of significance, liquidity risk had a statistically significant influence on the financial performance of deposit-taking SACCOs. Basing on the findings, DT SACCOs are encouraged to focus on enhancing the mobilization of deposits to ensure that an asset portfolio that minimizes liquidity risk is maintained.

DOI 10.20525/ijrbs.v10i2.10563 Crossref citations8 OpenAlex citations
JOURNAL ARTICLE

Bank Competition and Economic Growth

Champika Liyanagamage

International Journal of Finance & Banking Studies · 2021

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This paper provides rather scares evidence on the nexus between bank competition and economic growth in a unique developing economy; Sri Lanka for the period 1996-2018. The effect of competition in the Sri Lankan banking sector on economic growth, and the mechanisms through which competition affects growth are analyzed in the present paper. The VEC model used in this study was aimed at capturing independently the short and long-term effect of bank competition on economic growth. The competition is measured with Pazar-Ross H- Statistics. Contrary to the common wisdom, the study found evidence for negative effects of bank competition, on economic growth in the short run. However, in the long run, this effect is strong and positive. Further, the statistical results of this paper revealed that higher bank competition channels economic growth through interest rate and bank efficiency. These findings have important policy implications as it gives great insight into the complexity of competition related conduct in developing countries.

DOI 10.20525/ijfbs.v10i1.10321 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Analysis of Long-term Determinants of the Profitability for Amalgamated Bank of South Africa

Albert Antwi

International Journal of Finance & Banking Studies · 2021

Read abstract

Averting the risk of falling short on the expected profitability of a bank requires the knowledge of the underlying determinants. Knowledge of long-run underlying determinants of profitability assists banks in comprehensive planning. In this backdrop, the paper seeks to identify the long-term fundamental risk factors and their impacts on their profitability. The FM-OLS regression method is employed using annual data on the components of profitability as well as internal and external determinants of profitability of Amalgamated Bank of South Africa (ABSA) bank from 1998 to 2014. The study is particularly importance since bank-specific studies aimed at identifying long-run fundamental factors of profitability has not been given much attention in literature. Evidence from the study indicates that profitability of ABSA is cointegrated with its determinants. It is further observed that, with the exception of inflation and GDP, all the determinants have significant long-term impact on profitability. However, although size has significant impact on net interest margins, its impact on return on equity is insignificant. The results further suggest that capital and stock market capitalization pose risk to aggregate profitability of ABSA. It is therefore recommended that in future, ABSA should resort to optimal equity financing to maximize its expected profitability.

DOI 10.20525/ijfbs.v10i3.10601 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

The Potential for Biases in Resolving Loan Problems

Richard Brody · Matias Sokolowski · Reilly White

International Journal of Finance & Banking Studies · 2021

Read abstract

This paper describes how behavioral biases influence the resolution of financial covenant violations. Prior literature documents that violation waivers are common; however, there is a lack of discussion on the determinants that lead loan officers to waive covenant violations. We rely on the escalation of commitment bias (or the sunk cost phenomenon) to discuss how loan officers may become attached to a selected course of action and fail to incorporate new information, increasing the likelihood of covenant waivers. We explain the implications of this bias on bank financial reports by detailing how accounting links loan quality to bank financial statements. We further draw on the psychology literature to offer potential solutions to mitigate overcommitment in the context of loan officers. Future research can examine the extent to which loan officers knowingly or unknowingly steer away from rational decision-making. This study has practical implications as users of bank financial reports, including investors, auditors, examiners, and bank managers, learn about processes and challenges on how accounting mechanics link bank loan portfolios to financial statements.

DOI 10.20525/ijfbs.v10i3.13120 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Relationship lending and access to financial services by SMEs in Kenya

Edward Kiring'a · Fredrick W.S. Ndede · Argan Wekesa

International Journal of Research in Business and Social Science · 2021

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Policymakers and scholars acknowledge the significance of small and medium enterprises in stirring the economic growth and development in developing and developed economies. In spite of the generally fast pace by which access to financial services for small and medium enterprises is being established, significant segments of the small and medium enterprises sector do not yet benefit from the expansion. This study, therefore, investigated the effect of relationship lending on access to financial services by small and medium enterprises in Kenya. The study was based on credit rationing theory and information asymmetry theory. The target population comprised 4,253 small and medium enterprises in Kenya. A sample size of 366 SMEs was used by the study. The study adopted a multistage sampling technique to obtain the SME respondents. Primary data was utilized and was acquired through semi-structured questionnaires. Data were analyzed using descriptive and inferential statistics utilizing Heckman two-stage regression model. The study findings showed that relationship lending had a positive and significant effect on access to financial services among SMEs in Kenya. The study concluded that relationship lending plays a critical role in access to financial services by SMEs in Kenya. The study recommends that SMEs owners should strive to meet the terms and conditions provided by lending institutions in their various financing practices while management of the lending institutions should adopt financing practices favorable to SMEs to increase their access to financial services.

DOI 10.20525/ijrbs.v10i5.12420 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Analysis of Long-term Determinants of the Profitability for Amalgamated Bank of South Africa

Albert Antwi

International Journal of Finance & Banking Studies · 2021

Read abstract

Averting the risk of falling short on the expected profitability of a bank requires the knowledge of the underlying determinants. Knowledge of long-run underlying determinants of profitability assists banks in comprehensive planning. In this backdrop, the paper seeks to identify the long-term fundamental risk factors and their impacts on their profitability. The FM-OLS regression method is employed using annual data on the components of profitability as well as internal and external determinants of profitability of Amalgamated Bank of South Africa (ABSA) bank from 1998 to 2014. The study is particularly importance since bank-specific studies aimed at identifying long-run fundamental factors of profitability has not been given much attention in literature. Evidence from the study indicates that profitability of ABSA is cointegrated with its determinants. It is further observed that, with the exception of inflation and GDP, all the determinants have significant long-term impact on profitability. However, although size has significant impact on net interest margins, its impact on return on equity is insignificant. The results further suggest that capital and stock market capitalization pose risk to aggregate profitability of ABSA. It is therefore recommended that in future, ABSA should resort to optimal equity financing to maximize its expected profitability.

DOI 10.20525/ijfbs.v10i3.10601 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

What Drives Bank Profitability? A Panel Data Analysis of Commercial Banks in Bangladesh

Rana-Al-Mosharrafa · Md. Shahidul Islam

International Journal of Finance & Banking Studies · 2021

Read abstract

Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.

DOI 10.20525/ijfbs.v10i2.12367 Crossref citations14 OpenAlex citations
JOURNAL ARTICLE

The effect of interest rates, exchange rates and capital structure on banking profitability of BUMN and Private Go Public in Indonesia

Debby Wulandari · Agus Harjito

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to examine and analyze the influence of interest rates, exchange rates and capital structure on profitability in state-owned and private banking go public in Indonesia. This research is quantitative research based on the study of empirical rational principles. Collecting data using secondary data with purposive sampling technique, the sample consists of Commercial Banks Business Group (BUKU IV) with core capital > Rp 30 trillion. The data analysis technique used panel data regression analysis using EVIEWS version 11 software. The results showed that the interest rate had a positive and significant effect on banking profitability; Exchange Rate has a negative and significant effect on Banking Profitability; Capital Structure has a positive and significant effect on Banking Profitability; Interest Rate, Exchange Rate, and Capital Structure simultaneously have a positive and significant effect on Banking Profitability

DOI 10.20525/ijrbs.v10i3.10860 Crossref citations4 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
Full import history & methodology →