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: 20 / 20 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 — 22 Oct 2026 04:40 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.
20 / 20 with data · 0 missing or unmatched. Percentages use all 20 selected publications.
20 / 20 with data · 0 missing or unmatched. Percentages use all 20 selected publications.
20 / 20 with data · 0 missing or unmatched. Percentages use all 20 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 11 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 17 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 18 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 25 | 3 | 3/3 | 3/3 |
| 2022 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2025 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
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 20 / 20 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): 2026-10-21T07:22:44.501941+00:00 — 2026-10-22T04:40:13.034179+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 | 20 | 20/20 |
| 2018 | All selected publications | 0 | 20 | 20/20 |
| 2019 | All selected publications | 0 | 20 | 20/20 |
| 2020 | All selected publications | 0 | 20 | 20/20 |
| 2021 | All selected publications | 5 | 20 | 20/20 |
| 2022 | All selected publications | 5 | 20 | 20/20 |
| 2023 | All selected publications | 14 | 20 | 20/20 |
| 2024 | All selected publications | 14 | 20 | 20/20 |
| 2025 | All selected publications | 10 | 20 | 20/20 |
| 2026 | All selected publications | 8 | 20 | 20/20 |
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 |
|---|---|
| 2020 | 3 |
| 2021 | 3 |
| 2022 | 3 |
| 2023 | 1 |
| 2024 | 3 |
| 2025 | 5 |
| 2026 | 2 |
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 | 20 | 33 | 6/6 | 3.33 | 2.5 | 66.7 | 6/6 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 14 | 18 | 23 | 14/14 | 1.29 | 0.5 | 50.0 | 14/14 · 100.0% |
* Percentage among publications with a known citation count.
This research paper intends to evaluate an idea about bankers’ perceptions on green banking by getting a candid opinion from conventional banks’ bankers in Bangladesh based on a quality survey questionnaire covers relevant areas like benefits of green banking, superior officials who serve green banking services, taken eco-friendly initiatives, getting support from proper authorities, safeguarding environment pollution and rewards for adopting green banking. Considering the highest mean score of items in each group, this paper insights about green banking is environment-friendly banking, managers and officers are resourceful, emphasizes on recycling of left-over materials, keeping the environment pollution free, and performs to reduce resource wastages. This paper also finds that support from the government should be getting heightened priority to enhance its performance and area. So it can be easily presumed that green banking already put a great impact on a great portion of the banking industry in Bangladesh so far.
Bank profitability plays a significant role in the growth and development of an emerging economy. The purpose of the study was to examine the impact of bank characteristics, industry concentration and macroeconomics variables on commercial bank profitability in Bangladesh from 2007-2017. Bank profitability is proxied by return on assets (ROA), return on equity (ROE) and net interest margin (NIM). The study is based on secondary data and Hausman test has been performed using STATA software in favor of fixed effect modeling. Panel regressions shows that cost efficiency has significant negative impact on ROA and NIM. The positive impact of loan to deposit ratio with ROA suggests that efficient fund management including investment and assessed expenditure should be emphasized. Bank size has significant negative impact on all the measures of profitability, which indicates that monopolistic competition will reduce banking profit. Credit risk has significant positive impacts on ROE. Industry concentration measured by CR3 is positively related with ROE and has significant negative relation with bank profitability (ROA). Among macroeconomic variables inflation has significant positive and bank spread has significant negative impact on ROE. The coefficients of all the macroeconomic variables have been found to be significantly related to bank profitability while measured by NIM. Our study recommends further research with other explanatory variables such as, corporate governance, corporate social responsibility (CSR) and deposit insurance to accelerate the model and construct the econometric model by using structural equation modeling, mediation effect modeling etc.
Among the various online services provided by the government, e-tax system is one of the commonly used e-government platforms, which offers significant benefits to government and citizens by reducing costs, eliminate human errors, and reduce the turnaround time for processing income tax returns. Despite these plausible benefits, some reservations have been articulated regarding the continuance usage intention of e-tax system. Thus, we investigate the most critical factors of e-tax continuance usage in this paper. We developed an integrated theoretical model based on the technology continuance theory (TCT) extended with social influence and perceived risk. The proposed conceptual model was empirically validated with data collected from a sample of 345 e-tax service users in Bangladesh. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the collected data. The study findings suggest that user satisfaction, perceived usefulness, and attitude have a direct impact on continuance usage intention where confirmation, ease of use and social influence have indirect influence on continuance usage intention of e-tax system. This paper discusses some contributions to theory and practice based on our findings
This paper attempts to reveal how several credit risk factors are affecting the profitability of commercial banks considering the econometric models estimated with Random effect, Fixed effect, Pooled OLS and Cross-sectional Generalized least square (GLS) method followed by dynamic panel data model estimated with one-step GMM (generalized methods of moments) approach to incorporate the issue of endogeneity, unobserved heterogeneity and profit persistence of data set collected from annual report of banks covering from year 2010 to 2019 in Bangladesh. We have also adopted several diagnostic checks such as Model specification test, test of heteroskedasticty, cross sectional dependence test followed by test of autocorrelation and unit root test to examine the validity of the models selected for this study. The first part of our empirical investigation of the estimated models considering all methods reveals that out of all the independent credit risk factors such as Total loans to total assets ratio, Total loans to equity ratio, NPL to total loans, NPL to Total equity ratio, Provision for loan losses to total equity, total equity to total assets ratio, Total loans to total deposits ratio and provision for loan losses to NPL ratio, only provision for loan losses to NPL ratio is significantly affecting the dependent variable measured with NIM (Net interest margin) ratio of banks under fixed effect method. The next part of our empirical results of estimated models considering same methods divulges that NPL to total loans ratio, NPL to Total equity ratio and Provision for loan losses to total equity are also significantly affecting the dependent variable measured with ROE (Return on equity) of banks. The third segment of our empirical findings of estimated models considering same approaches shows that only NPL to total loans ratio is statistically significant under all methods but the NPL to total equity ratio is significant under fixed effect and GLS method and Provision for loan losses to total equity is significant under GLS method only in explaining the changes in ROA (Return on equity) measuring profitability of banks. Further investigation reveals that the dynamic impact of the said credit risk factors on profitability measured with ROE of banks has been successfully adopted by one-step system GMM approach considering all conditions required for estimation.
The main objective of this study is to assess the impact of non-performing loans on bank lending behavior before and amid the COVID-19 pandemic. To do this research we have chosen fifteen private commercial banks in Bangladesh and data were taken from the year 2012 to the year 2021. Credit growth as a component of bank lending behavior was selected as the dependent variable and independent variables are non-performing loans to total loans, provision for loan losses to total loans, gross domestic product (GDP) rate, inflation rate, unemployment rate, total loans to total customer deposit, total equity to total asset, tier 1 ratio, growth of customer deposits, the dummy variables are used for incorporating the effect of covid-19. The paper suggests that NPL to total loan, provision for loan losses to total loan, total equity to total asset, and dummy variables (effect of covid-19 on NPL) are found statistically significant and inversely related to credit growth. Another three variables namely total loan to total deposit, deposit growth, and inflation variables are statistically significant and positively related to credit growth. All of the significant variables are consistent with general economic theory except the case for total equity to the total asset. To reduce non-performing loans, the banks may concentrate on improving corporate governance, maintaining strong loan review, thoroughly reviewing the KYC form, must ensure safety principles before approving a loan, collecting information from the CIB, accepting adequate collateral, examining the five C’s, name lending and connected party lending should be strictly prohibited which are quite related with behavioral and judgmental issues, would be a matter of further research.
This study examines the effects of Mobile Financial Services (MFS) on the growth and composition of bank deposits in Bangladesh over the period 2015-2024 based on bank-level panel data for 26 commercial banks. Using Fixed Effects (FE), Random Effects (RE), and Generalized Least Squares (GLS) estimation and controlling for COVID-19 dummy, the study finds that MFS transaction volume has a negative and statistically significant effect on deposit growth. This indicates that rising mobile financial activity slows the pace at which banks accumulate deposits. However, MFS positively and significantly affects both current and savings deposit levels, consistent with the financial inclusion channel through which mobile platforms channel funds into the formal banking system. The effect on total deposits and fixed deposits is statistically insignificant, indicating no direct substitution at the aggregate or long-term deposit level. Bank size and loan-to-deposit ratio are the most consistent determinants across all models. Non-performing loans negatively affect depositor confidence. The COVID-19 pandemic dampened deposit growth and total deposit accumulation but exerted limited influence on current and savings deposit levels. These findings suggest that MFS and traditional banking are complementary rather than substitutive, and that well-designed policy interventions can harness MFS-driven financial inclusion to strengthen rather than undermine the deposit base of commercial banks in Bangladesh.
In Bangladesh, women’s participation in small businesses is rapidly increasing. Although the lack of capital appears to be a significant barrier, banks play an important role in assisting women in obtaining small business loans. This study examines whether foreign banks operating in Bangladesh facilitate access to financing for women entrepreneurs. Using primary data collected from 100 women-owned small businesses in Dhaka, this study employs probit regression models to estimate the likelihood of obtaining small business loans from foreign banks. The results indicate that the accessibility of credit by women entrepreneurs is much less when they apply to foreign banks. The estimated marginal effects convey that the likelihood of securing financing on application to a foreign bank is expected to be lower by about 52 percentage points than domestic banks. The findings also reveal the significance of firm performance, managerial traits, and bank-firm relationships in determining access to credit. Overall, the findings suggest that foreign banks contribute only marginally to small business financing for women entrepreneurs in Bangladesh, implying the need for more targeted policy interventions.
This study investigates the relationship between corporate governance and firm performance in the Bangladeshi insurance sector, focusing on variables like board independence, female directors, audit committee size, leverage, and firm age. Using a sample of 42 insurance firms from 2017 to 2021, regression analysis is employed to assess these relationships. The findings show that board independence positively impacts performance, while audit committee size, leverage, and firm age have negative effects. Female directors exhibit a marginal but weak positive influence. This research contributes to the literature by providing empirical evidence from a developing economy, where limited studies exist. It also offers insights into governance practices in emerging markets. The implications suggest that policymakers and corporate leaders in Bangladesh should prioritize enhancing board independence, managing leverage, and promoting gender diversity to improve performance. Future research could explore causal relationships and extend the analysis to other sectors or emerging markets, considering cultural and regulatory factors.
This study investigates the relationship between banks' corporate governance practice and its impact on financial sustainability. In this study, twenty-four private commercial banks' data have been analyzed from 2014 to 2023. Our investigations included a variety of econometric models, including cross-sectional GLS, fixed effect, random effect, and pooled OLS. In our study, we found that including women on the Board of directors plays a positive role in ensuring the financial sustainability of banking sectors in Bangladesh. Apart from that, increasing the participation of independent directors on the board of directors, expenditures in research and development in the best banking practices, and inflation positively increase banks' profitability, which translates into financial sustainability. This finding is consistent with the findings of the random effect model. On the other hand, whenever we used ROE as an explained variable, we found that both in pooled OLS and random effect methods, board diversity, CEO tenure, firms audited by the big four firms, and inflation have a positive association with ROE. In the fixed effect method, we observed that audit committee size and ownership concentration play a vital role in explaining the financial sustainability of private commercial banks in Bangladesh. In the FGLS method, We found that CEO tenure, age of the firm, firms audited by the big four firms, presence of the independent director on the board, and inflations significantly impact the financial sustainability of commercial banks of Bangladesh.
This paper examines the exchange rate pass-through (ERPT) and its impact on home inflation in Bangladesh, particularly in the post-pandemic era. Examining important economic factors including the nominal exchange rate (NER), money supply (M2), industrial production (IP), and global commodity index (GCI) using monthly data from January 2002 to August 2023 helps one to grasp their combined influence on consumer price inflation (CPI). By means of Johansen cointegration and Vector Error Correction Model (VECM) approaches, the study reveals important short-term and long-term dynamics. Contrary to patterns in many emerging nations, the results show that changes in exchange rates have apparently little impact on home prices. Rather, changes in the money supply and world commodities prices mostly influence inflation; the latter becomes a major factor. The study also exposes an unexpected positive link between industrial production and CPI, implying complexity in Bangladesh's production-driven economic structure. Moreover, this investigation underlines how complex monetary expansion, external commodities shocks, and devaluation of money interact to shape inflationary pressures. These results offer legislators important new perspectives and support strong monetary policies and focused involvement in world commodities markets to help to lower inflation. This study clarifies ERPT in developing countries and provides direction on inflation control techniques for Bangladesh.
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 |