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Journals / IJFBS RESEARCH PROFILE

International Journal of Finance & Banking Studies

ISSN 2147-4486 • Journal website ↗

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 29 Oct 2026, 16:45 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS—0/3 with known counts
OPENALEX CITATIONS03/3 with known counts
OPENALEX MEAN0.0Per article with a known count
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Most cited articles

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

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Output and reach

Publication activity alongside incoming citations.

Publication activity

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Publications

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2026 is year to date. 0 undated publications excluded.

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Citations received

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

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Leading affiliations and themes in this collection.

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Institutions

Universitas Teknologi Yogyakarta2Mercu Buana University13/3 records with data

Countries

Indonesia33/3 records with data

Primary topics

Corporate Social Responsibility Reporting1Islamic Finance and Banking Studies1Financial Distress and Bankruptcy Prediction13/3 records with data
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Lifetime citations by publication year

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Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

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OpenAlex · incoming citation links grouped by citing-work year

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

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Annual history: 3/3 articles. Latest history observation: 2026-10-29T16:45:34.091048+00:00. Source totals are never added together.
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International Journal of Finance & Banking Studies

Publications

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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.

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3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS—
CROSSREF · CITED PUBLICATIONS—
CROSSREF · MEAN CITATIONS—

Crossref citation coverage: 0 / 3 publications (0.0%). Latest observation: Not yet available. 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 CITATIONS0
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY0.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0

Observation range: 27 Oct 2026 19:04 UTC — 29 Oct 2026 16:45 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations31–506–20021+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

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 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): 2026-10-27T19:04:16.323257+00:00 — 2026-10-29T16:45:34.091048+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications033/3
2024All selected publications033/3
2025All selected publications033/3
2026All selected publications033/3

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 ↗

Crossref citation distribution

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

Mean—
Median—
No citations01–506–20021+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 Finance & Banking Studies
SSBFNET
3—03/3———0/3 · 0.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

Bibliometric Co-Citation Analysis of Bankruptcy Prediction in Financial Institutions

Tri, Gunarsih · Mardhiyyah, Rodhiyah · Sayekti, Fran

International Journal of Finance & Banking Studies · 2026

Read abstract

This article maps the knowledge structure and evolution of bankruptcy/default prediction research in financial institutions using a bibliometric co-citation approach, which identifies works that are often cited together due to the proximity of their theories, methods, or themes. Bibliographic data were collected from the Web of Science (WoS) for the period 1970-2025, then extracted in a complete bibliographic format and prepared for network analysis. The co-citation procedure is carried out by extracting the reference list, normalizing and unifying citation variations, and preparing a co-citation matrix, which is then visualized and classified using VOSviewer with minimum threshold parameters and normalized association strength. The results of the document ranking based on the number of citations and Total Link Strength (TLS) show the development trajectory of the field from the ratio and Z-Score approach to the logit probabilistic model, the market foundation based on the structural theory of credit risk, the governance perspective supported by agency theory, the dynamic panel methodology/GMM for longitudinal data, to computational waves (neural networks and machine learning) to capture nonlinear patterns of credit scoring. The co-citation map uncovers four main clusters: econometrics & banking risk, structural theory, ratios, and computational, with Merton and Altman acting as the cross-cluster binding nodes. These findings support the design of a more comprehensive early warning system (EWS) by integrating ratio signals, market indicators, governance/agency factors, and ML models to improve accuracy and adaptation.    

DOI 10.20525/ijfbs.v15i2.5115N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Determinants of Financial Performance in Islamic Commercial Banks: The Role of Corporate Governance, Financing Quality, Islamic CSR, and Operational Efficiency

Rohilah · Utami, Wiwik

International Journal of Finance & Banking Studies · 2026

Read abstract

This study examines the effect of Good Corporate Governance (GCG), financing quality, Islamic Corporate Social Responsibility (ICSR), and operational efficiency on the financial performance of Islamic Commercial Banks (Bank Umum Syariah/BUS) in Indonesia using a quantitative explanatory approach with panel data regression analysis. The research focuses on 14 Islamic Commercial Banks registered with the Financial Services Authority (Otoritas Jasa Keuangan/OJK) over the 2019–2024 period, resulting in 84 firm-year observations selected through purposive sampling based on the availability of complete annual reports. Financial performance is proxied by Return on Assets (ROA), while GCG is measured using governance indicators disclosed in annual reports, financing quality is represented by Non-Performing Financing (NPF), ICSR is measured using an ICSR disclosure index, and operational efficiency is proxied by the BOPO ratio. The analysis was conducted using EViews version 13. The empirical results show that Good Corporate Governance has a positive and statistically significant effect on financial performance, indicating that stronger governance practices contribute to higher profitability. Financing quality does not exhibit a significant effect on ROA. Conversely, Islamic Corporate Social Responsibility and operational efficiency have a negative and statistically significant effect on financial performance, suggesting that higher operational inefficiency and CSR-related costs may reduce short-term profitability. Overall, this study contributes to the Islamic banking literature by providing empirical evidence on key determinants of financial performance in Islamic Commercial Banks and highlights the importance of strengthening governance practices, improving operational efficiency, and managing ICSR programs more strategically to balance social objectives with long-term financial sustainability, while offering insights for regulators and stakeholders in reinforcing governance frameworks and optimizing Islamic value-based social responsibility.

DOI 10.20525/ijfbs.v15i1.4940N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Carbon Emission Disclosure, Capital Structure, and Intellectual Capital: The Impact on Corporate Value with Financial Performance as a Moderating Variable

Rifaldy Yoga Pratama · Gunarsih, Tri

International Journal of Finance & Banking Studies · 2026

Read abstract

This study aims to assess the impact of exposure to Carbon Emission Disclosure (CED) and the level of Greenhouse Gas (GHG) emissions on the valuation of companies operating in the Indonesian banking sector. This in-depth study also evaluates the influence of capital structure and intellectual property assets. In addition, this study explicitly examines how financial performance moderates the relationship between these variables and the company's value. Using a quantitative research method, this analysis observed a sample consisting of banking entities listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The theoretical framework underpinning this research comprises Legitimacy Theory, Stakeholder Theory, Signal Theory, Preference Order Theory, and the resource-based view (RBV). The results reveal that transparent disclosure of carbon emissions and the accumulation of intellectual capital positively influence the company's value, while GHG emissions and leverage have adverse effects. Crucially, financial performance (ROA) moderates these relationships by weakening the positive impact of carbon disclosure and buffering the negative impact of GHG emissions but does not significantly moderate the effects of capital structure or intellectual capital. These findings offer practical guidelines for banking management to align environmental sustainability practices with financial strategies to enhance corporate value.  

DOI 10.20525/ijfbs.v15i1.4875N/A Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Bibliometric Co-Citation Analysis of Bankruptcy Prediction in Financial Institutions

Tri, Gunarsih · Mardhiyyah, Rodhiyah · Sayekti, Fran

International Journal of Finance & Banking Studies · 2026

Read abstract

This article maps the knowledge structure and evolution of bankruptcy/default prediction research in financial institutions using a bibliometric co-citation approach, which identifies works that are often cited together due to the proximity of their theories, methods, or themes. Bibliographic data were collected from the Web of Science (WoS) for the period 1970-2025, then extracted in a complete bibliographic format and prepared for network analysis. The co-citation procedure is carried out by extracting the reference list, normalizing and unifying citation variations, and preparing a co-citation matrix, which is then visualized and classified using VOSviewer with minimum threshold parameters and normalized association strength. The results of the document ranking based on the number of citations and Total Link Strength (TLS) show the development trajectory of the field from the ratio and Z-Score approach to the logit probabilistic model, the market foundation based on the structural theory of credit risk, the governance perspective supported by agency theory, the dynamic panel methodology/GMM for longitudinal data, to computational waves (neural networks and machine learning) to capture nonlinear patterns of credit scoring. The co-citation map uncovers four main clusters: econometrics & banking risk, structural theory, ratios, and computational, with Merton and Altman acting as the cross-cluster binding nodes. These findings support the design of a more comprehensive early warning system (EWS) by integrating ratio signals, market indicators, governance/agency factors, and ML models to improve accuracy and adaptation.    

DOI 10.20525/ijfbs.v15i2.5115N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Determinants of Financial Performance in Islamic Commercial Banks: The Role of Corporate Governance, Financing Quality, Islamic CSR, and Operational Efficiency

Rohilah · Utami, Wiwik

International Journal of Finance & Banking Studies · 2026

Read abstract

This study examines the effect of Good Corporate Governance (GCG), financing quality, Islamic Corporate Social Responsibility (ICSR), and operational efficiency on the financial performance of Islamic Commercial Banks (Bank Umum Syariah/BUS) in Indonesia using a quantitative explanatory approach with panel data regression analysis. The research focuses on 14 Islamic Commercial Banks registered with the Financial Services Authority (Otoritas Jasa Keuangan/OJK) over the 2019–2024 period, resulting in 84 firm-year observations selected through purposive sampling based on the availability of complete annual reports. Financial performance is proxied by Return on Assets (ROA), while GCG is measured using governance indicators disclosed in annual reports, financing quality is represented by Non-Performing Financing (NPF), ICSR is measured using an ICSR disclosure index, and operational efficiency is proxied by the BOPO ratio. The analysis was conducted using EViews version 13. The empirical results show that Good Corporate Governance has a positive and statistically significant effect on financial performance, indicating that stronger governance practices contribute to higher profitability. Financing quality does not exhibit a significant effect on ROA. Conversely, Islamic Corporate Social Responsibility and operational efficiency have a negative and statistically significant effect on financial performance, suggesting that higher operational inefficiency and CSR-related costs may reduce short-term profitability. Overall, this study contributes to the Islamic banking literature by providing empirical evidence on key determinants of financial performance in Islamic Commercial Banks and highlights the importance of strengthening governance practices, improving operational efficiency, and managing ICSR programs more strategically to balance social objectives with long-term financial sustainability, while offering insights for regulators and stakeholders in reinforcing governance frameworks and optimizing Islamic value-based social responsibility.

DOI 10.20525/ijfbs.v15i1.4940N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Carbon Emission Disclosure, Capital Structure, and Intellectual Capital: The Impact on Corporate Value with Financial Performance as a Moderating Variable

Rifaldy Yoga Pratama · Gunarsih, Tri

International Journal of Finance & Banking Studies · 2026

Read abstract

This study aims to assess the impact of exposure to Carbon Emission Disclosure (CED) and the level of Greenhouse Gas (GHG) emissions on the valuation of companies operating in the Indonesian banking sector. This in-depth study also evaluates the influence of capital structure and intellectual property assets. In addition, this study explicitly examines how financial performance moderates the relationship between these variables and the company's value. Using a quantitative research method, this analysis observed a sample consisting of banking entities listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The theoretical framework underpinning this research comprises Legitimacy Theory, Stakeholder Theory, Signal Theory, Preference Order Theory, and the resource-based view (RBV). The results reveal that transparent disclosure of carbon emissions and the accumulation of intellectual capital positively influence the company's value, while GHG emissions and leverage have adverse effects. Crucially, financial performance (ROA) moderates these relationships by weakening the positive impact of carbon disclosure and buffering the negative impact of GHG emissions but does not significantly moderate the effects of capital structure or intellectual capital. These findings offer practical guidelines for banking management to align environmental sustainability practices with financial strategies to enhance corporate value.  

DOI 10.20525/ijfbs.v15i1.4875N/A Crossref citations0 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 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
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