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: 4 / 4 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 01:53 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 8 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-21T07:22:43.128318+00:00 — 2026-10-22T01:53:45.368176+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 1 | 4 | 4/4 |
| 2023 | All selected publications | 2 | 4 | 4/4 |
| 2024 | All selected publications | 4 | 4 | 4/4 |
| 2025 | All selected publications | 1 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 |
|---|---|
| 2022 | 4 |
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 | 1 | 2 | 2 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 4 | 6 | 3/3 | 1.33 | 1 | 100.0 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The outbreak of the Coronavirus, which has caused a global crisis, has affected all aspects of human life. This pandemic has also seriously challenged the business environment, monetary and financial markets, and the performance of banks in countries. Accordingly, this paper aims to answer the question: “What is the impact of the COVID 19 pandemic crisis on the performance of the Canadian banking industry? Thus, the main purpose of the study is to investigate the impact of the Covid-19 pandemic on the performance of the Canadian banking industry. For this purpose, the related literature was systematically reviewed to extract performance indicators. Then, a quantitative approach and a multiple case study strategy were used to examine the hypotheses and answer the questions. So, three Canadian banks including RBC bank, TD bank, and BMO were selected as cases. Document- and records-based method used to collect public data from official, and well-known economic and financial sources. For data analysis, structural equation analysis and correlation test were considered using Amos 28 and APSS 27. Based on the results, although the Covid-19 pandemic has shocked the Canadian banking industry, like many businesses, but because of its high capabilities, they have been able to manage the crisis well and come out of it successfully. The results show that the average profitability and efficiency of Canadian banks decreased slightly during the pandemic period, but it was not significant. In addition, during this period, business risk has increased slightly, but this situation has gradually returned to normal. Plus, some indicators such as the average of ROE, ROI, EPS, etc. after passing the initial shock, they have found a better position than the pre-crisis. Considering the newness of the pandemic and the lack of similar knowledge and experience that has surprised people, the results of this research contribute to the theoretical development of the literature, and its results can be used in the financial, banking, and commercial fields. Since the basis of the investigations was limited to the data of only three banks, therefore, it should be a little cautious in generalizing the results.
This paper analyses the effect of the treasury single account (TSA) on the financial performance of commercial banks in Tanzania over the period 2015-2020. The selected commercial banks include NMB Plc, CRDB Plc, EXIM Bank, NBC and DCB in Tanzania’s banking sector. The study employs a descriptive research design and the CAMEL Rating Analysis approach. The findings show that all the selected commercial banks have maintained a strong position on their composite rating system before and after the TSA implementation. They are sound in the aspects of capital adequacy, management quality, earning capacity and liquidity conditions.
The primary purpose of this research study is to reflect on financial anomalies, especially bank scams in Bangladesh. This study is an empirical approach developed through a well-structured Likert-scaled questionnaire to indicate different human behaviors, psychologies, and emotions that considerably impact financial incongruities in Bangladesh. The proposed model supported the structural equation model (SEM) and used SPSS Amos (Version 24) to build an attitudinal and behavioral model that reflects the complex relationships segment of this paper. Results show people try to rationalize irrational, unethical, and impertinent things and issues to achieve self-gain. Furthermore, corporations are treated as an entity for which they cannot be punished. Apart from this, human natures like greediness, dissatisfaction with what people have, societal status, possession and position, competition with peer groups for luxury, and tendency to imitate bad things are also responsible for bank scams in the Bangladeshi economy. Last but not least bad loan and default culture developed in the banking industry of Bangladesh only lacks execution laws, rules, and regulations.
Previous studies analyzing the relationship between the performance of rural banks and the COVID-19 pandemic are very limited in number. This study aims to find out how the impact of the COVID-19 pandemic on the performance of rural banks in Indonesia. This study uses panel regression data to examine the effect of the COVID-19 pandemic on the capital adequacy ratio (CAR) from the capital aspect, non-performing loan (NPL) from the asset quality aspect, return on assets (ROA) from the earning aspect, and cash ratio (CR) from the aspect of liquidity. Our findings explain that the COVID-19 pandemic has a positive effect on CAR and NPL, a negative effect on ROA, and no effect on CR.
The primary purpose of this research study is to reflect on financial anomalies, especially bank scams in Bangladesh. This study is an empirical approach developed through a well-structured Likert-scaled questionnaire to indicate different human behaviors, psychologies, and emotions that considerably impact financial incongruities in Bangladesh. The proposed model supported the structural equation model (SEM) and used SPSS Amos (Version 24) to build an attitudinal and behavioral model that reflects the complex relationships segment of this paper. Results show people try to rationalize irrational, unethical, and impertinent things and issues to achieve self-gain. Furthermore, corporations are treated as an entity for which they cannot be punished. Apart from this, human natures like greediness, dissatisfaction with what people have, societal status, possession and position, competition with peer groups for luxury, and tendency to imitate bad things are also responsible for bank scams in the Bangladeshi economy. Last but not least bad loan and default culture developed in the banking industry of Bangladesh only lacks execution laws, rules, and regulations.
The outbreak of the Coronavirus, which has caused a global crisis, has affected all aspects of human life. This pandemic has also seriously challenged the business environment, monetary and financial markets, and the performance of banks in countries. Accordingly, this paper aims to answer the question: “What is the impact of the COVID 19 pandemic crisis on the performance of the Canadian banking industry? Thus, the main purpose of the study is to investigate the impact of the Covid-19 pandemic on the performance of the Canadian banking industry. For this purpose, the related literature was systematically reviewed to extract performance indicators. Then, a quantitative approach and a multiple case study strategy were used to examine the hypotheses and answer the questions. So, three Canadian banks including RBC bank, TD bank, and BMO were selected as cases. Document- and records-based method used to collect public data from official, and well-known economic and financial sources. For data analysis, structural equation analysis and correlation test were considered using Amos 28 and APSS 27. Based on the results, although the Covid-19 pandemic has shocked the Canadian banking industry, like many businesses, but because of its high capabilities, they have been able to manage the crisis well and come out of it successfully. The results show that the average profitability and efficiency of Canadian banks decreased slightly during the pandemic period, but it was not significant. In addition, during this period, business risk has increased slightly, but this situation has gradually returned to normal. Plus, some indicators such as the average of ROE, ROI, EPS, etc. after passing the initial shock, they have found a better position than the pre-crisis. Considering the newness of the pandemic and the lack of similar knowledge and experience that has surprised people, the results of this research contribute to the theoretical development of the literature, and its results can be used in the financial, banking, and commercial fields. Since the basis of the investigations was limited to the data of only three banks, therefore, it should be a little cautious in generalizing the results.
Previous studies analyzing the relationship between the performance of rural banks and the COVID-19 pandemic are very limited in number. This study aims to find out how the impact of the COVID-19 pandemic on the performance of rural banks in Indonesia. This study uses panel regression data to examine the effect of the COVID-19 pandemic on the capital adequacy ratio (CAR) from the capital aspect, non-performing loan (NPL) from the asset quality aspect, return on assets (ROA) from the earning aspect, and cash ratio (CR) from the aspect of liquidity. Our findings explain that the COVID-19 pandemic has a positive effect on CAR and NPL, a negative effect on ROA, and no effect on CR.
This paper analyses the effect of the treasury single account (TSA) on the financial performance of commercial banks in Tanzania over the period 2015-2020. The selected commercial banks include NMB Plc, CRDB Plc, EXIM Bank, NBC and DCB in Tanzania’s banking sector. The study employs a descriptive research design and the CAMEL Rating Analysis approach. The findings show that all the selected commercial banks have maintained a strong position on their composite rating system before and after the TSA implementation. They are sound in the aspects of capital adequacy, management quality, earning capacity and liquidity conditions.
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 |