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, 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 — 22 Oct 2026 06:35 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 6 | 6 | 5/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 1 | 6 | 5/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 1 | 6 | 5/6 | 6/6 |
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): 2026-10-21T07:22:59.960089+00:00 — 2026-10-22T06:35:06.751026+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 | 6 | 6/6 |
| 2018 | All selected publications | 0 | 6 | 6/6 |
| 2019 | All selected publications | 0 | 6 | 6/6 |
| 2020 | All selected publications | 0 | 6 | 6/6 |
| 2021 | All selected publications | 0 | 6 | 6/6 |
| 2022 | All selected publications | 0 | 6 | 6/6 |
| 2023 | All selected publications | 0 | 6 | 6/6 |
| 2024 | All selected publications | 0 | 6 | 6/6 |
| 2025 | All selected publications | 0 | 6 | 6/6 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2025 | 6 |
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 | 2 | 0 | 0 | 2/2 | 0.0 | 0 | 0.0 | 1/2 · 50.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 1 | 1 | 4/4 | 0.25 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.
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.
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 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.
This paper focuses on a classic policy trade-off by unraveling the role of financial deregulation in driving financial stability and exploring how the role of regulatory quality can affect this relationship. To this end, this study uses a balanced panel dataset of 73 countries across a period of ten years starting from 2014. The empirical specification utilizes a two-step System GMM approach, accounting for both endogeneity, unobserved heterogeneity issues, and persistence in financial stability. Specifically, financial stability is measured by non-performing loans (NPLs), which represent the level of risk exposure of national banking sectors. The findings reveal that financial freedom leads to higher level of financial instability, proving theoretical predictions of the excessive risk-taking behavior of lending institutions encouraged with financial deregulation. Furthermore, the interaction term between financial freedom and regulatory quality is statistically significant, suggesting that financial deregulation can be compensated by the quality of regulatory environment. The role of the GDP per capita variable used for stabilizing the findings is significant as it represents the resilience of more developed economies. The implications of the results are complex. In a more institutional context, this finding suggests that financial stability is not a direct function of financial freedom but is conditional on institutional capability. Hence, high regulatory quality can mitigate the instability caused by financial freedom, thereby enabling a balanced approach.
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 impacts of credit risk management on the growth of Nigerian banks. Specifically, the study focused mainly on the impacts of credit risk management among Deposit Money Banks in Nigeria. The study employed an ex-post facto research design, utilising secondary data from the financial information of 14 selected listed Deposit Money Banks from 2007 to 2022. The study population was defined as the total number of listed Deposit Money Banks, from which a sample of six banks was selected using a simple random sampling technique. The operationalisation of variables included (1) the use of natural logarithm for bank size, (2) a three-level scale for credit risk, and (3) alternative measurements for collateral management and credit scores. Data analysis involved the calculation of descriptive statistics, correlation analysis, variance inflation factors, and regression analysis. The research hypotheses are also validated to assess the significance of various factors in credit risk management. The findings revealed that credit scores significantly enhance the effectiveness of credit risk assessment, and collateral management did not significantly contribute to mitigating credit risk. The findings also revealed that default risk management significantly reduces the credit risk of Deposit Money Banks in Nigeria. These results highlight the intricate nature of credit risk management in the banking sector and emphasize the need for a multifaceted approach.
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.
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 |