Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 5 / 6 publications (83.3%). Latest observation: 21 Oct 2026, 00:21 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
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 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.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | — | 1 | 0/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| 2014 | All selected publications | 7 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 16 | 2 | 2/2 | 2/2 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 0/1 | 1/1 |
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.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 2 | 6 | 6/6 |
| 2018 | All selected publications | 3 | 6 | 6/6 |
| 2019 | All selected publications | 2 | 6 | 6/6 |
| 2020 | All selected publications | 5 | 6 | 6/6 |
| 2021 | All selected publications | 5 | 6 | 6/6 |
| 2022 | All selected publications | 4 | 6 | 6/6 |
| 2023 | All selected publications | 2 | 6 | 6/6 |
| 2024 | All selected publications | 1 | 6 | 6/6 |
| 2025 | All selected publications | 1 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2013 | 2 |
| 2014 | 1 |
| 2016 | 2 |
| 2026 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 6 | 10 | 30 | 6/6 | 2.0 | 2 | 80.0 | 5/6 · 83.3% |
* Percentage among publications with a known citation count.
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.
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.
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.
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.
<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>
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.
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.
<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>
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.
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.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |