CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 01:35 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS263/3 with known counts
OPENALEX CITATIONS303/3 with known counts
OPENALEX MEAN10.0Per article with a known count
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institution: Varendra University 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.

View data & coverage

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.

Full distributions & methodology ↓

Institutions

Varendra University3Michigan Technological University1University of Rajshahi13/3 records with data

Countries

Bangladesh3United States13/3 records with data

Primary topics

Banking Sector Performance and Management2Monetary Policy and Economic Impact13/3 records with data
Two perspectives on citations

Follow the research impact

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.

View data & coverage

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.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T01:35:31.367171+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Finance & Banking Studies

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS26
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS8.67

Crossref citation coverage: 3 / 3 publications (100.0%). 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%3 / 3 publications
MEAN · KNOWN COUNTS ONLY10.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY10

Observation range: 22 Oct 2026 01:17 UTC — 22 Oct 2026 01:35 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–516–20221+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

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 3 / 3 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): 2026-10-22T01:17:24.849204+00:00 — 2026-10-22T01:35:31.367171+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

147.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 12 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications133/3
2024All selected publications1233/3
2025All selected publications1433/3
2026All selected publications333/3

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.

Mean8.67
Median10
No citations01–516–20221+0Unknown0

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
326303/38.6710100.03/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Non-performing Loans and Bank Profitability

Rejaul Karim · Md. Mustaqim Roshid · Farjana Bashar Shamme · Md. Mahmud Hasan

International Journal of Finance & Banking Studies · 2023

Read abstract

This study aims to investigate the association between non-performing loans (NPLs) and the profitability of banks in Bangladesh. The data of twenty-five listed banks for the twelve years spanning from 2010 to 2021 have been analyzed to achieve the research objective. through the use of the ordinary least square (OLS) regression model, we found that the NPL has a negative significant impact on the profitability determined by the return on asset (ROA). In addition, the study revealed that the bank size, which is represented by banks’ total assets, is also inversely related to the profitability of the sample banks used in this research. The study concludes that the stakeholders, particularly the management of the banks, as well as the regulators, should be more cautious about NPLs and should try to lessen the level of NPLs because it can bring devastating results both on the microeconomic as well as on macroeconomic metrics of a developing country like Bangladesh.  

DOI 10.20525/ijfbs.v11i4.231415 Crossref citations19 OpenAlex citations
JOURNAL ARTICLE

Financial Performance of Bangladeshi Listed Commercial Banks

Rejaul Karim · Md. Mahmud Hasan · Abdul Waaje · Mst. Shahira Hoshain Yesmin

International Journal of Finance & Banking Studies · 2024

Read abstract

This paper aims to examine the financial performance of Bangladeshi listed commercial banks. The study analyzed the financial performances of banks categorized into three generations—first, second, and third—based on their year of commencement of operations in the country. The data of a total of 24 banks, 8 from each generation, listed in the Dhaka Stock Exchange (DSE), has been collected from audited financial statements for the time period of 13 years, from 2010 to 2022. Data has been analyzed using different ratios of profitability, liquidity, capital adequacy, operational efficiency, and credit risk. The ANOVA test also has been used to make a comparison of profitability—the return on assets (ROA), and return on equity (ROE) of the banks of different generations. According to the results, the average profitability ratios in terms of ROA, and ROE of the second-generation banks showed their credibility than banks of other generations; while first generation banks kept higher liquidity, and capital adequacy with higher credit risk than the banks of other generations. The first-generation banks also showed a lower cost-expense ratio, and a higher efficiency in terms of operation, than the banks in the second and third generations. The research also discovered that the profitability of banks of different generations significantly varies from one another.  

DOI 10.20525/ijfbs.v12i4.317010 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

Exploring the Nexus of Domestic Debt and Private Sector Credit in Developing Countries with a Focus on Bangladesh

Atia Ahmed · Kaniz Habiba Afrin · Anima Karmakar · Tamal Chakrobortty

International Journal of Finance & Banking Studies · 2023

Read abstract

This research examines domestic debt, private sector lending, and economic development in emerging countries, focusing on Bangladesh. This analysis uses 1960–2022 Bangladeshi secondary data, World Bank World Development Indicators and Bangladesh Ministry of Finance economic statistics. Domestic debt and private sector credit affect emerging nations' economic development, according to this study's theoretical approach. This research examines the link between two factors to add to the literature and provide Bangladesh-specific insights. It is quantitative research that examines domestic debt, private sector credit, and economic development using regression analysis and statistical testing. The conclusions aids Bangladesh's economic development policymakers, economists, and stakeholders. Understanding national debt, financing from the private sector, and the advancement of the country's economy helps policymakers manage debt, allocate credit, and set economic policy. The conducted study also improves theoretical understanding of economic development in underdeveloped countries and illuminates Bangladesh's unique conditions. It examined household debt, private sector lending, and Bangladeshi economic development as well as examines the patterns of economic growth in emerging nations to enhance policy debates and broaden knowledge.

DOI 10.20525/ijfbs.v12i2.27961 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Financial Performance of Bangladeshi Listed Commercial Banks

Rejaul Karim · Md. Mahmud Hasan · Abdul Waaje · Mst. Shahira Hoshain Yesmin

International Journal of Finance & Banking Studies · 2024

Read abstract

This paper aims to examine the financial performance of Bangladeshi listed commercial banks. The study analyzed the financial performances of banks categorized into three generations—first, second, and third—based on their year of commencement of operations in the country. The data of a total of 24 banks, 8 from each generation, listed in the Dhaka Stock Exchange (DSE), has been collected from audited financial statements for the time period of 13 years, from 2010 to 2022. Data has been analyzed using different ratios of profitability, liquidity, capital adequacy, operational efficiency, and credit risk. The ANOVA test also has been used to make a comparison of profitability—the return on assets (ROA), and return on equity (ROE) of the banks of different generations. According to the results, the average profitability ratios in terms of ROA, and ROE of the second-generation banks showed their credibility than banks of other generations; while first generation banks kept higher liquidity, and capital adequacy with higher credit risk than the banks of other generations. The first-generation banks also showed a lower cost-expense ratio, and a higher efficiency in terms of operation, than the banks in the second and third generations. The research also discovered that the profitability of banks of different generations significantly varies from one another.  

DOI 10.20525/ijfbs.v12i4.317010 Crossref citations10 OpenAlex citations
JOURNAL ARTICLE

Exploring the Nexus of Domestic Debt and Private Sector Credit in Developing Countries with a Focus on Bangladesh

Atia Ahmed · Kaniz Habiba Afrin · Anima Karmakar · Tamal Chakrobortty

International Journal of Finance & Banking Studies · 2023

Read abstract

This research examines domestic debt, private sector lending, and economic development in emerging countries, focusing on Bangladesh. This analysis uses 1960–2022 Bangladeshi secondary data, World Bank World Development Indicators and Bangladesh Ministry of Finance economic statistics. Domestic debt and private sector credit affect emerging nations' economic development, according to this study's theoretical approach. This research examines the link between two factors to add to the literature and provide Bangladesh-specific insights. It is quantitative research that examines domestic debt, private sector credit, and economic development using regression analysis and statistical testing. The conclusions aids Bangladesh's economic development policymakers, economists, and stakeholders. Understanding national debt, financing from the private sector, and the advancement of the country's economy helps policymakers manage debt, allocate credit, and set economic policy. The conducted study also improves theoretical understanding of economic development in underdeveloped countries and illuminates Bangladesh's unique conditions. It examined household debt, private sector lending, and Bangladeshi economic development as well as examines the patterns of economic growth in emerging nations to enhance policy debates and broaden knowledge.

DOI 10.20525/ijfbs.v12i2.27961 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Non-performing Loans and Bank Profitability

Rejaul Karim · Md. Mustaqim Roshid · Farjana Bashar Shamme · Md. Mahmud Hasan

International Journal of Finance & Banking Studies · 2023

Read abstract

This study aims to investigate the association between non-performing loans (NPLs) and the profitability of banks in Bangladesh. The data of twenty-five listed banks for the twelve years spanning from 2010 to 2021 have been analyzed to achieve the research objective. through the use of the ordinary least square (OLS) regression model, we found that the NPL has a negative significant impact on the profitability determined by the return on asset (ROA). In addition, the study revealed that the bank size, which is represented by banks’ total assets, is also inversely related to the profitability of the sample banks used in this research. The study concludes that the stakeholders, particularly the management of the banks, as well as the regulators, should be more cautious about NPLs and should try to lessen the level of NPLs because it can bring devastating results both on the microeconomic as well as on macroeconomic metrics of a developing country like Bangladesh.  

DOI 10.20525/ijfbs.v11i4.231415 Crossref citations19 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
Full import history & methodology →