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OpenAlex coverage 100.0% · 6/6 recordsLast OpenAlex observation 22 Oct 2026, 02:21 UTC
PUBLICATIONS6In the selected collection
CROSSREF CITATIONS105/6 with known counts
OPENALEX CITATIONS306/6 with known counts
OPENALEX MEAN5.0Per article with a known count
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topic: Efficiency Analysis Using DEA Remove ×
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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.

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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.

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Research landscape

Leading affiliations and themes in this collection.

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Institutions

Indian Institute of Management Indore2Bahçeşehir University1University of Staffordshire16/6 records with data

Countries

India2Britain (UK)1Kenya16/6 records with data

Primary topics

Efficiency Analysis Using DEA66/6 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: 2026-10-22T02:21:29.960358+00:00. Source totals are never added together.
Research side by side

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Display range
International Journal of Finance & Banking Studies

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 CITATIONS10
CROSSREF · CITED PUBLICATIONS80.0%
CROSSREF · MEAN CITATIONS2.0

Crossref citation coverage: 5 / 6 publications (83.3%). 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 CITATIONS30
DOI MATCH COVERAGE100.0%6 / 6 publications
MEAN · KNOWN COUNTS ONLY5.06 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY5.5

Observation range: 22 Oct 2026 01:12 UTC — 22 Oct 2026 02:21 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–526–20321+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): 2026-10-22T01:12:17.261275+00:00 — 2026-10-22T02:21:29.960358+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 6/62018 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 6/62019 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 6/62020 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 6/62021 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 6/62022 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 6/62023 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 6/62024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 6/62025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 6/62026 · All selected publications · OpenAlex · Citations received by year: 0 · 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 publications266/6
2018All selected publications366/6
2019All selected publications266/6
2020All selected publications566/6
2021All selected publications566/6
2022All selected publications466/6
2023All selected publications266/6
2024All selected publications166/6
2025All selected publications166/6
2026All selected publications066/6

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.

Mean2.0
Median2
No citations11–546–20021+0Unknown1

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
610306/62.0280.05/6 · 83.3%

* Percentage among publications with a known citation count.

Explore publications

View all 6 →

Most cited · Crossref

JOURNAL ARTICLE

Analysis of Technical Efficiency of Indian Banking Sector

Dipayan Roy

International Journal of Finance & Banking Studies · 2014

Read abstract

The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.

DOI 10.20525/ijfbs.v3i1.1764 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

The anatomy of bank performance during transition

Ihsan Isik · Larissa Kyj · Ihsan Kulali

International Journal of Finance & Banking Studies · 2016

Read abstract

By drawing on Ukrainian experience, this paper analyzes the anatomy of bank efficiency in a transitional economy. Acknowledging the vast disparities in the business technology of different size banks, in this comprehensive study, we innovatively estimate group-specific (distinct) frontiers for small, medium, and large size banks. The results from separate frontiers reveal that Ukrainian banks record 38% technical inefficiency, 26% pure technical inefficiency, and 17% scale inefficiency on average. Apparently, banks in transition waste about the two fifths of their factor inputs during the production of financial services. The cardinal source of sub-performance in transitional banks seems to be managerial inefficiencies. We also found that banks operating in areas with more political influence and more developed infrastructure outperform the banks operating in politically and economically weaker regions. The results also indicate that larger banks, enjoying public trust in a risky business climate, dominate smaller banks in all forms of efficiency. However, such bias for size causes large banks to suffer from decreasing returns to scale and small banks from idle capacity. Consequently, the policies promoting consolidation between small and large banks may alleviate the excess (idle) capacity for large (small) banks in a transitional economy.

DOI 10.20525/ijfbs.v5i3.2953 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Intermediation Efficiency of Banks in South-East Europe

Valentin Toci · Iraj Hashi

International Journal of Finance & Banking Studies · 2013

Read abstract

By employing non-parametric methods, namely Data Envelopment Analysis and Malmquist Index, this paper investigates efficiency of banks using a database of almost all banks in four countries in South-East Europe. The superior efficiency of foreignowned banks in intermediation is supported. It is argued that the improvement in efficiency of banks originated from the change in technology rather than scale and technical efficiency, and banks on average have not been able to catch-up with best-performers, thus widening the efficiency gap. The largest sources of inefficiency are found to be cost and scale inefficiencies and lending shortfalls. Because of its peculiarities, Kosovo banking sector is assessed relative to other economies. Findings suggest that despite some improvements, the banking system in Kosovo remained less efficient. A number of policy implications emanate from the findings, aiming at enhancing the intermediation efficiency of banks in the context of South-East European transition.

DOI 10.20525/ijfbs.v2i3.1512 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The Sources of Efficiency in the Nigerian Banking Industry

Frances Susan Obafemi · Olumide Ayodele · Friday Ebong

International Journal of Finance & Banking Studies · 2013

Read abstract

The paper employed a two-stage Data Envelopment Analysis (DEA) approach to examine the sources of technical efficiency in the Nigerian banking sub-sector. Using a cross section of commercial and merchant banks, the study showed that the Nigerian banking industry was not efficient both in the pre-and-post-liberalization era. The study further revealed that market share was the strongest determinant of technical efficiency in the Nigerian banking Industry. Thus, appropriate macroeconomic policy, institutional development and structural reforms must accompany financial liberalization to create the stable environment required for it to succeed. Hence, the present bank consolidation and reforms by the Central Bank of Nigeria, which started with Soludo and continued with Sanusi, are considered necessary, especially in the areas of e banking and reorganizing the management of banks.

DOI 10.20525/ijfbs.v2i4.1641 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Analysis of Technical Efficiency of Indian Banking Sector: An Application of Data Envelopment Analysis

Dipayan Roy

International Journal of Finance & Banking Studies · 2016

Read abstract

<p>The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.</p>

DOI 10.20525/.v3i1.1760 Crossref citations10 OpenAlex citations

Selected results

JOURNAL ARTICLE

Scale Efficiency and Technical Efficiency in Islamic Banks: Evidence from Sub-Saharan Africa

Dallu, Abdallah Mambo · Njogo, Michael · Korir, Fiona

International Journal of Finance & Banking Studies · 2026

Read abstract

This study investigates whether inefficiencies in Islamic banking in Sub-Saharan Africa (SSA) are primarily driven by managerial limitations or by suboptimal scale of operations. While existing studies largely report aggregate efficiency scores, limited attention has been given to decomposing efficiency into its underlying components in emerging Islamic banking systems, particularly within the SSA context. The study employs a balanced panel of 35 fully fledged Islamic banks operating in SSA over the period 2010–2024. Operational efficiency is estimated using a bias-corrected Data Envelopment Analysis (DEA) model under an input-oriented Variable Returns to Scale (VRS) framework. To enhance statistical reliability, the Simar–Wilson bootstrap procedure with 2,000 replications is applied. Efficiency scores are decomposed into pure technical efficiency and scale efficiency to distinguish between managerial inefficiencies and structural scale constraints. The results indicate that overall efficiency levels remain low, with inefficiencies largely driven by scale factors rather than managerial performance. A significant proportion of banks operate under increasing returns to scale, suggesting suboptimal size linked to structural constraints such as limited market depth, fragmented regulatory environments, and underdeveloped financial infrastructure. Although pure technical efficiency shows moderate improvement over time, managerial gains are insufficient to offset these systemic limitations. The findings highlight the need for regulatory harmonization, market integration, and strategic expansion or consolidation to enable Islamic banks to achieve optimal scale and improve operational efficiency in SSA. This study provides one of the first comprehensive efficiency decomposition analyses of Islamic banks in SSA using bias-corrected DEA, offering new insights into the relative importance of structural versus managerial sources of inefficiency in emerging financial systems.

DOI 10.20525/ijfbs.v15i2.5047N/A Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

The anatomy of bank performance during transition

Ihsan Isik · Larissa Kyj · Ihsan Kulali

International Journal of Finance & Banking Studies · 2016

Read abstract

By drawing on Ukrainian experience, this paper analyzes the anatomy of bank efficiency in a transitional economy. Acknowledging the vast disparities in the business technology of different size banks, in this comprehensive study, we innovatively estimate group-specific (distinct) frontiers for small, medium, and large size banks. The results from separate frontiers reveal that Ukrainian banks record 38% technical inefficiency, 26% pure technical inefficiency, and 17% scale inefficiency on average. Apparently, banks in transition waste about the two fifths of their factor inputs during the production of financial services. The cardinal source of sub-performance in transitional banks seems to be managerial inefficiencies. We also found that banks operating in areas with more political influence and more developed infrastructure outperform the banks operating in politically and economically weaker regions. The results also indicate that larger banks, enjoying public trust in a risky business climate, dominate smaller banks in all forms of efficiency. However, such bias for size causes large banks to suffer from decreasing returns to scale and small banks from idle capacity. Consequently, the policies promoting consolidation between small and large banks may alleviate the excess (idle) capacity for large (small) banks in a transitional economy.

DOI 10.20525/ijfbs.v5i3.2953 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Analysis of Technical Efficiency of Indian Banking Sector: An Application of Data Envelopment Analysis

Dipayan Roy

International Journal of Finance & Banking Studies · 2016

Read abstract

<p>The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.</p>

DOI 10.20525/.v3i1.1760 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

Analysis of Technical Efficiency of Indian Banking Sector

Dipayan Roy

International Journal of Finance & Banking Studies · 2014

Read abstract

The proactively evolved banking regulations in the Indian Banking sector under the authorative directive of the Reserve bank of India (RBI) has often brought about a change in the business strategy, capital structure and operations of the banks in the Indian banking sector. During these events of continuous change and adoption of Basel norms, we analyse the efficiency of the Indian banking sector with using Data Envelopment Analysis across three economic eras andacross the different ownership structures. The determinants of efficiency are selected on the basis of intermediation approach. We also attempt to identify whether the inefficiency arises from managerial incompetence or improper size and resource allocation. From our analysis, we identify the main cause of inefficiency in the Indian Banking sector to be arising out of improper size allocation.

DOI 10.20525/ijfbs.v3i1.1764 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

The Sources of Efficiency in the Nigerian Banking Industry

Frances Susan Obafemi · Olumide Ayodele · Friday Ebong

International Journal of Finance & Banking Studies · 2013

Read abstract

The paper employed a two-stage Data Envelopment Analysis (DEA) approach to examine the sources of technical efficiency in the Nigerian banking sub-sector. Using a cross section of commercial and merchant banks, the study showed that the Nigerian banking industry was not efficient both in the pre-and-post-liberalization era. The study further revealed that market share was the strongest determinant of technical efficiency in the Nigerian banking Industry. Thus, appropriate macroeconomic policy, institutional development and structural reforms must accompany financial liberalization to create the stable environment required for it to succeed. Hence, the present bank consolidation and reforms by the Central Bank of Nigeria, which started with Soludo and continued with Sanusi, are considered necessary, especially in the areas of e banking and reorganizing the management of banks.

DOI 10.20525/ijfbs.v2i4.1641 Crossref citations2 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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