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: 37 / 37 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 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: 21 Oct 2026 07:22 UTC — 23 Oct 2026 11:52 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.
29 / 37 with data · 8 missing or unmatched. Percentages use all 37 selected publications.
29 / 37 with data · 8 missing or unmatched. Percentages use all 37 selected publications.
37 / 37 with data · 0 missing or unmatched. Percentages use all 37 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 |
|---|---|---|---|---|---|
| 2014 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 0 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2014 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 2 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2018 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2021 | All selected publications | 4 | 5 | 5/5 | 5/5 |
| 2022 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 2 | 4 | 4/4 | 4/4 |
| 2024 | All selected publications | 2 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 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 37 / 37 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): 2026-10-21T07:22:45.291855+00:00 — 2026-10-23T11:52:28.119617+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 | 0 | 37 | 37/37 |
| 2018 | All selected publications | 2 | 37 | 37/37 |
| 2019 | All selected publications | 1 | 37 | 37/37 |
| 2020 | All selected publications | 0 | 37 | 37/37 |
| 2021 | All selected publications | 2 | 37 | 37/37 |
| 2022 | All selected publications | 3 | 37 | 37/37 |
| 2023 | All selected publications | 1 | 37 | 37/37 |
| 2024 | All selected publications | 5 | 37 | 37/37 |
| 2025 | All selected publications | 2 | 37 | 37/37 |
| 2026 | All selected publications | 1 | 37 | 37/37 |
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 |
|---|---|
| 2014 | 2 |
| 2016 | 3 |
| 2017 | 2 |
| 2018 | 2 |
| 2019 | 3 |
| 2020 | 4 |
| 2021 | 5 |
| 2022 | 3 |
| 2023 | 4 |
| 2024 | 4 |
| 2025 | 4 |
| 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 | 21 | 0 | 12 | 21/21 | 0.0 | 0 | 0.0 | 21/21 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 16 | 0 | 6 | 16/16 | 0.0 | 0.0 | 0.0 | 16/16 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the stock performance of large and small European banks included in the STOXX 600 Banks index in response to three major macroeconomic shocks the COVID-19 pandemic, the Russian invasion of Ukraine, and the collapse of Silicon Valley Bank. Employing daily bank stock returns and an event study framework, the analysis measures immediate market reactions through abnormal returns, while subsequent shifts in equity performance are evaluated using volatility, Sharpe ratios, and beta coefficients. The results suggest that large banks tend to exhibit more pronounced short-term losses during shocks compared to smaller banks. In contrast, small banks generally outperform in the medium term following these events, achieving higher risk-adjusted returns despite elevated volatility. Both segments experience increased market correlation and volatility during periods of disruption, indicating heightened systemic risk. Moreover, the type of shock plays a crucial role, with smaller banks often showing greater resilience to localized and geopolitical shocks.
This paper investigates the factors that form bank risks in Bangladeshi state-owned banks. As a representation of bank risk, non-performing loans have been considered the dependent variable for this study. The relevant data have been extracted from six state-owned banks in Bangladesh from 2013 to 2022. The final dataset consists of 60 firm-year observations. The ordinary least square (OLS) regression with robust standard errors model is utilized to find the relationship of bank risks with determinants like asset size, efficiency, liquidity, profitability, leverage ratio, capital adequacy ratio, and loan to asset ratio. The findings say that bank size and loan-to-asset ratio have a highly significant positive relationship with bank risk, whereas profitability, capital adequacy ratio, and bank efficiency have a significant negative association with bank risk. On the other hand, leverage and liquidity are negatively and positively correlated with no statistical significance. To check the study's robustness, another proxy of bank risk, loan loss provision has been used and the results are almost similar. State-owned banks operate in every economy with a different mindset than the general commercial banks. Hence, policymakers should take necessary initiatives based on this study to bring down the high bank risks in state-owned banks in Bangladesh.
This article discusses financial stability related notions of risk, the issue of convergence and cross financial sector prudential intervention. It elucidates the Basel framework shortcomings and enunciates the requirement of setting a reinvigorated prudential framework before proceeding to its essentials in terms of engineering. It highlights an early warning approach dealing with the issue of time reaction mismatch of the prudential authority and the priority of setting a long run forwarded guided approach. The objective of this research is to provide a clue into enhancing prudential setting of instruments, the forwarded guided purview of surveillance as well as hedging and the Balanced Score Card.
This paper investigates the relation between bank liquidity and borrowing from a lender of last resort on a high frequency basis during a financial crisis. The paper evaluates weekly observations of individual bank borrowing of clearinghouse loan certificates by a panel of New York Clearing House member banks during the crisis of 1884. Naturally, banks with higher reserve ratios borrowed lower amounts, but banks replaced a dollar of reserves with less than a dollar of borrowing from a lender of last resort.
The Covid-19 pandemic has hit the world since the end of 2019 and has damaged the world economy, including Indonesia. Banking as a financial institution that provides funding to companies is also affected. Because the pandemic has reduced the company's performance, and this decline in performance has had an impact on banking. The aim of this research is to test whether the Covid-19 pandemic has an impact on the relationship between risk factors and bank performance. Bank performance is measured by profitability which consists of return on assets (ROA) and return on equity (ROE), while bank risk in this study consists of credit risk, liquidity risk, capital, operational risk and the Covid-19 pandemic. The population in this research is the Regional Development Banks (BPD) in Indonesia totaling 34 banks with a sample of 30 banks. The observation period was 4 years with quarterly data so that 320 observation data were collected. Hypothesis testing uses panel data regression, and to select the best regression model, the model will be tested using the Chow-test, Hausman-test, and Lagrange Multiplier test. After the model test was carried out, the fixed effect model was selected as the best model. The research results show that credit risk and operational risk have a significant and negative influence on all profitability, both ROA and ROE. Meanwhile, liquidity risk (LDR) has no effect on both types of profitability, while capital has an effect on ROE but has no effect on ROA. Another interesting result is that the Covid-19 pandemic has no impact on the influence of risk on bank performance.
This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship. The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.
SMEs (Small and Medium Enterprises) play a critical role in Senegal's economy. Some SMEs choose to work with only one bank (monobanking), while others engage with multiple banks (multibanking). This study aims to examine both internal and external determinants that influence SMEs' decision to opt for multibanking. Using data collected from 105 SME managers in Senegal, the research employs multinomial logistic regression which shows that internal factors such as the size of the SME, its maturity, and the manager's experience, significantly drive multibanking, while external factors, such as the quality of banking services, negatively influence this decision. Knowledge of these factors could help to improve the bank-SME relationship, resulting in a win-win situation that better meets the needs of SMEs and increases the loyalty of the main bank's customers. This could contribute to better performance for both players.
This study examines the stock performance of large and small European banks included in the STOXX 600 Banks index in response to three major macroeconomic shocks the COVID-19 pandemic, the Russian invasion of Ukraine, and the collapse of Silicon Valley Bank. Employing daily bank stock returns and an event study framework, the analysis measures immediate market reactions through abnormal returns, while subsequent shifts in equity performance are evaluated using volatility, Sharpe ratios, and beta coefficients. The results suggest that large banks tend to exhibit more pronounced short-term losses during shocks compared to smaller banks. In contrast, small banks generally outperform in the medium term following these events, achieving higher risk-adjusted returns despite elevated volatility. Both segments experience increased market correlation and volatility during periods of disruption, indicating heightened systemic risk. Moreover, the type of shock plays a crucial role, with smaller banks often showing greater resilience to localized and geopolitical shocks.
This study assesses the determinants of bank deposit flows under changing economic conditions by applying the dynamic panel two-step generalized methods of moments technique to annual observations covering 2007 to 2022 of 12 commercial banks in South Africa. The analysis revealed past deposit flow, profitability, bank size, and capital adequacy ratio as constituting a set of bank-specific variables with a positive predictive influence on deposit flows. At the same time, expenditure drives an adverse impact on deposits. These dynamics posit important implications for efficiency in bank expenditure management to sustain the inflow of depositors’ flows. Also, the results show the existence of a positive relationship between the unemployment rate and deposit flow, which is unexpected in practice, as an increase in joblessness in the country implies a decline in the financial capacity of the population to contribute to bank saving portfolios. However, the unexpected interaction between unemployment and deposit flow in this context can be explained by the adaptive principles of market interactions as the relationship between financial variables is unlikely to be the same under different economic conditions. Moreover, the analysis shows a positive effect of the economic condition on deposit flows which implies that an increase in national productivity exerts an impressive on the flow of depositors' funds to the banks based on market expansion and rapid growth momentum. Based on the findings, strategies to ensure the sustenance of a conducive macroeconomic environment should be reinforced by policymakers as the dynamics of bank deposit flows are linked to the direction of the current economic condition.
This study investigates the impact of Credit Risk Management (CRM) on resilience in non-bank financial institutions (NBFIs) and explores how Customer Relationship Management (CREM) moderates this relationship. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) with data from credit risk managers in the National Capital Region, the study finds that CRM significantly enhances resilience. Moreover, CREM strengthens the impact of credit risk management on resilience, demonstrating a synergistic effect. The findings suggest that NBFIs should integrate CRM and CREM strategies to improve organizational resilience, offering a valuable framework for enhancing stability amidst economic challenges.
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 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |