CiteNScope — Scholarly Index & Analytics
Journals / IJFBS RESEARCH PROFILE

International Journal of Finance & Banking Studies

ISSN 2147-4486 • Journal website ↗

Compare journals ↗
OpenAlex coverage 0.0% · 0/4 recordsLast OpenAlex observation not available
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS34/4 with known counts
OPENALEX CITATIONS—0/4 with known counts
OPENALEX MEAN—Per article with a known count
Explore articles 4 →
Filter collection Publication years, search & more
Reset
Research in focus

Most cited articles

Top 5 in the selected collection · Ranked by OpenAlex lifetime citations. Only articles with at least one known citation are included; source totals are never combined.

  1. No cited articles match the selected source and filters.
The journal at a glance

Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

No data available.

0/4 records with data

Countries

No data available.

0/4 records with data

Primary topics

No data available.

0/4 records with data
Two perspectives on citations

Follow the research impact

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.

View data & coverage

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.

View data & coverage
Annual history: 0/4 articles. Latest history observation: not yet available. Source totals are never added together.
Research side by side

Compare journals

Compare across all journals →

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Finance & Banking Studies

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

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 research profile All distributions, publications, comparisons & data provenance
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS75.0%
CROSSREF · MEAN CITATIONS0.75

Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 CITATIONS—
DOI MATCH COVERAGE0.0%0 / 4 publications
MEAN · KNOWN COUNTS ONLY—0 known · 4 unknown
MEDIAN · KNOWN COUNTS ONLY—

Observation range: Not available — Not available. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–506–20021+0Unknown4

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

0 / 4 with data · 4 missing or unmatched. Percentages use all 4 selected publications.

No verified institutions data for this selection.

Countries

0 / 4 with data · 4 missing or unmatched. Percentages use all 4 selected publications.

No verified countries data for this selection.

Primary topics

0 / 4 with data · 4 missing or unmatched. Percentages use all 4 selected publications.

No verified primary topics data for this selection.

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 0 / 4 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.

OpenAlex · Citations received by year

10.50 —2017 · All selected publications: no known count—2018 · All selected publications: no known count—2019 · All selected publications: no known count—2020 · All selected publications: no known count—2021 · All selected publications: no known count—2022 · All selected publications: no known count—2023 · All selected publications: no known count—2024 · All selected publications: no known count—2025 · All selected publications: no known count—2026 · All selected publications: no known count 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications—40/4
2018All selected publications—40/4
2019All selected publications—40/4
2020All selected publications—40/4
2021All selected publications—40/4
2022All selected publications—40/4
2023All selected publications—40/4
2024All selected publications—40/4
2025All selected publications—40/4
2026All selected publications—40/4

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.

Mean0.75
Median1.0
No citations11–536–20021+0Unknown0

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
43—0/40.751.075.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

The Convergence of Beta Credit for Micro, Small and Medium Enterprises (MSMEs) in Indonesia’s Provinces

I Made Suidarma · I Made Sara · I Nyoman Anggaradana · I Gusti Ayu Made Agung Mas Andriani Pratiwi

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>The success of SMEs is determined by the business capital and able to give value added to the business more productively. Various financing pattern schemes for SMEs have been provided in various regions and all economic sectors. However, the development of SMEs credit is still concentrated in several regions in Indonesia</em><em> t</em><em>his can lead to inequality in the growth of SMEs</em><em>. </em><em>This study aims to analyze the convergence of absolute beta and conditional beta in the Provinces in Indonesia and calculate the half-time or time required to achieve steady-state conditions of the SME credit convergence process. Convergence test used is beta conditional convergence and absolute convergence with the monthly time period during 2017.1 until 2017.7. The determinant of SMEs convergence of credit in Indonesia is a number of third-party funds. The model used is dynamic panel data regression and the estimation method used is Arellano-Bond Generalized Method of Moment (AB-GMM).</em></p><p><em>The results of the study show that during the study period, there has been a convergence credit process in Indonesia for both absolute and conditional convergence models. The conditional beta-convergence model provides a smaller beta value than the absolute model. The speed of credit growth convergence between provinces in Indonesia with half-time of 6,94 months for the absolute model and the half-time of 6,96 months for the conditional model. </em><em></em></p>

DOI 10.20525/ijfbs.v7i1.8561 Crossref citations
JOURNAL ARTICLE

Banks’ profitability determinants in post-crisis European Union

Marcin Korytowski

International Journal of Finance & Banking Studies · 2018

Read abstract

<p>The purpose of this article is to examine the impact of selected internal and external factors on a bank’s profitability. The research investigates the impact of operational size, liquidity, risk appetite, management efficiency, product diversification, concentration, GDP growth and inflation change on the profitability of sample of 4179 European commercial banks for the period between 2011 and 2015. The input data were obtained from the Orbis Focus and the World Bank databases. The determinants were used to construct two models with ROAA and ROAE as a proxies and regression analysis using between groups panel approach was conducted. It has been found that growing economy impacts banks’ profitability positively. The liquidity has been found to impact profitability positively, but statistically significant results were obtained only with the ROAA model. It has been robustly confirmed that management efficiency, product diversification, market concentration and inflation result in decreased profitability. The operational size has been found to be negatively linked to changes in net results but was confirmed only with ROAA model. Similarly, statistically significant results with regard to liquidity were found only for ROAA model and the correlation was positive. The strong negative impact of market concentration on profitability is an interesting finding allowing for further exploration of reasons for this unexpected vector of correlation.</p>

DOI 10.20525/ijfbs.v7i1.8471 Crossref citations
JOURNAL ARTICLE

Impact of working capital management on profitability of Industrial sector in Iraq.

Sardar Shaker Ibrahim

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>This paper observes the impact of working capital management on profitability of industrial sector in Iraq. Four companies based in Iraq namely: Iraqi Date processing, Iraqi carton manufactories, Baghdad soft drinks and Iraqi for tufted carpets randomly selected and analyzed for the present study over the period 2007 to 2016. Annual reports of these companies have been studied and significant ratios calculated. The variables that were identified as independent for working capital were, current ratio and quick ratio, while return on equity ROE as dependent variable for profitability. The Ordinary Least Square (OLS) model used to examine the impact of working capital management on profitability. Results indicate that ROE is positively related with working capital variables.</em></p>

DOI 10.20525/ijfbs.v7i1.8371 Crossref citations
JOURNAL ARTICLE

Influence of Alternative Financing on the Relationship between Managerial Competency and Efficiency of Small and Medium Enterprises in Kenya

Jackson Njau Waweru · Kennedy M. Waweru · Kenneth L. Wanjau · Josphat K. Kinyanjui

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>Worldwide, Small and medium-size enterprises (SMEs) exhibit inimitable financial needs. While SMEs remain fundamental to economic growth, their mortality rate in Kenya approaches 90% by the second year, mainly owing to lack of credit. However, scholarly endeavors exploring the impact of alternative finance (AF) on managerial competency - efficiency nexus for manufacturing SMEs have received little attention in Kenya. To resolve this conundrum, a thorough study to investigate how AF impacts managerial competency - efficiency nexus is necessary. The study used a cross-sectional research design, employing both qualitative and quantitative research approaches. The target population was 171 SMEs registered with Kenya Association of Manufacturers. The accessible population was 136 SMEs owners/managers. A semi-structured questionnaire was used to collect primary and secondary data. Data envelopment analysis was used to measure efficiency, multiple regression modeling used to analyze the direct relationships while hierarchical moderated multiple regression analysis employed to test moderation. Partial Least Squares Structural Equation Modeling was used to test robustness of our results. The findings of this study demonstrate that managerial competency positively influences efficiency (β = 0.150, t-value =10.246, P<0.05), and that alternative finance does moderate managerial competency relationships with efficiency (R-Square change of 21.7%).We suggest trainings for manufacturing SME owners/managers in Kenya on the pivotal role of alternative finance to facilitate SMEs achieve higher efficiencies and accelerate economic growth.</em></p>

DOI 10.20525/ijfbs.v7i1.8530 Crossref citations

Selected results

JOURNAL ARTICLE

Influence of Alternative Financing on the Relationship between Managerial Competency and Efficiency of Small and Medium Enterprises in Kenya

Jackson Njau Waweru · Kennedy M. Waweru · Kenneth L. Wanjau · Josphat K. Kinyanjui

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>Worldwide, Small and medium-size enterprises (SMEs) exhibit inimitable financial needs. While SMEs remain fundamental to economic growth, their mortality rate in Kenya approaches 90% by the second year, mainly owing to lack of credit. However, scholarly endeavors exploring the impact of alternative finance (AF) on managerial competency - efficiency nexus for manufacturing SMEs have received little attention in Kenya. To resolve this conundrum, a thorough study to investigate how AF impacts managerial competency - efficiency nexus is necessary. The study used a cross-sectional research design, employing both qualitative and quantitative research approaches. The target population was 171 SMEs registered with Kenya Association of Manufacturers. The accessible population was 136 SMEs owners/managers. A semi-structured questionnaire was used to collect primary and secondary data. Data envelopment analysis was used to measure efficiency, multiple regression modeling used to analyze the direct relationships while hierarchical moderated multiple regression analysis employed to test moderation. Partial Least Squares Structural Equation Modeling was used to test robustness of our results. The findings of this study demonstrate that managerial competency positively influences efficiency (β = 0.150, t-value =10.246, P<0.05), and that alternative finance does moderate managerial competency relationships with efficiency (R-Square change of 21.7%).We suggest trainings for manufacturing SME owners/managers in Kenya on the pivotal role of alternative finance to facilitate SMEs achieve higher efficiencies and accelerate economic growth.</em></p>

DOI 10.20525/ijfbs.v7i1.8530 Crossref citations
JOURNAL ARTICLE

The Convergence of Beta Credit for Micro, Small and Medium Enterprises (MSMEs) in Indonesia’s Provinces

I Made Suidarma · I Made Sara · I Nyoman Anggaradana · I Gusti Ayu Made Agung Mas Andriani Pratiwi

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>The success of SMEs is determined by the business capital and able to give value added to the business more productively. Various financing pattern schemes for SMEs have been provided in various regions and all economic sectors. However, the development of SMEs credit is still concentrated in several regions in Indonesia</em><em> t</em><em>his can lead to inequality in the growth of SMEs</em><em>. </em><em>This study aims to analyze the convergence of absolute beta and conditional beta in the Provinces in Indonesia and calculate the half-time or time required to achieve steady-state conditions of the SME credit convergence process. Convergence test used is beta conditional convergence and absolute convergence with the monthly time period during 2017.1 until 2017.7. The determinant of SMEs convergence of credit in Indonesia is a number of third-party funds. The model used is dynamic panel data regression and the estimation method used is Arellano-Bond Generalized Method of Moment (AB-GMM).</em></p><p><em>The results of the study show that during the study period, there has been a convergence credit process in Indonesia for both absolute and conditional convergence models. The conditional beta-convergence model provides a smaller beta value than the absolute model. The speed of credit growth convergence between provinces in Indonesia with half-time of 6,94 months for the absolute model and the half-time of 6,96 months for the conditional model. </em><em></em></p>

DOI 10.20525/ijfbs.v7i1.8561 Crossref citations
JOURNAL ARTICLE

Banks’ profitability determinants in post-crisis European Union

Marcin Korytowski

International Journal of Finance & Banking Studies · 2018

Read abstract

<p>The purpose of this article is to examine the impact of selected internal and external factors on a bank’s profitability. The research investigates the impact of operational size, liquidity, risk appetite, management efficiency, product diversification, concentration, GDP growth and inflation change on the profitability of sample of 4179 European commercial banks for the period between 2011 and 2015. The input data were obtained from the Orbis Focus and the World Bank databases. The determinants were used to construct two models with ROAA and ROAE as a proxies and regression analysis using between groups panel approach was conducted. It has been found that growing economy impacts banks’ profitability positively. The liquidity has been found to impact profitability positively, but statistically significant results were obtained only with the ROAA model. It has been robustly confirmed that management efficiency, product diversification, market concentration and inflation result in decreased profitability. The operational size has been found to be negatively linked to changes in net results but was confirmed only with ROAA model. Similarly, statistically significant results with regard to liquidity were found only for ROAA model and the correlation was positive. The strong negative impact of market concentration on profitability is an interesting finding allowing for further exploration of reasons for this unexpected vector of correlation.</p>

DOI 10.20525/ijfbs.v7i1.8471 Crossref citations
JOURNAL ARTICLE

Impact of working capital management on profitability of Industrial sector in Iraq.

Sardar Shaker Ibrahim

International Journal of Finance & Banking Studies · 2018

Read abstract

<p><em>This paper observes the impact of working capital management on profitability of industrial sector in Iraq. Four companies based in Iraq namely: Iraqi Date processing, Iraqi carton manufactories, Baghdad soft drinks and Iraqi for tufted carpets randomly selected and analyzed for the present study over the period 2007 to 2016. Annual reports of these companies have been studied and significant ratios calculated. The variables that were identified as independent for working capital were, current ratio and quick ratio, while return on equity ROE as dependent variable for profitability. The Ordinary Least Square (OLS) model used to examine the impact of working capital management on profitability. Results indicate that ROE is positively related with working capital variables.</em></p>

DOI 10.20525/ijfbs.v7i1.8371 Crossref 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 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
ojs-rest21 Oct 2026 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:14 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 00:22 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
Full import history & methodology →