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: 10 / 10 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 00:22 UTC — 22 Oct 2026 03:07 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.
9 / 10 with data · 1 missing or unmatched. Percentages use all 10 selected publications.
9 / 10 with data · 1 missing or unmatched. Percentages use all 10 selected publications.
10 / 10 with data · 0 missing or unmatched. Percentages use all 10 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 |
|---|---|---|---|---|---|
| 2019 | All selected publications | 10 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 29 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 56 | 10 | 10/10 | 10/10 |
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 10 / 10 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): 2026-10-21T00:22:01.645992+00:00 — 2026-10-22T03:07:06.059396+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 | 10 | 10/10 |
| 2018 | All selected publications | 2 | 10 | 10/10 |
| 2019 | All selected publications | 3 | 10 | 10/10 |
| 2020 | All selected publications | 5 | 10 | 10/10 |
| 2021 | All selected publications | 9 | 10 | 10/10 |
| 2022 | All selected publications | 16 | 10 | 10/10 |
| 2023 | All selected publications | 6 | 10 | 10/10 |
| 2024 | All selected publications | 5 | 10 | 10/10 |
| 2025 | All selected publications | 4 | 10 | 10/10 |
| 2026 | All selected publications | 5 | 10 | 10/10 |
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 |
|---|---|
| 2019 | 10 |
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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 1 | 3 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 7 | 28 | 53 | 7/7 | 4.0 | 2 | 85.7 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The aim of the empirical study is to investigate credit risk determinants in banking sectors across three kinds of South Asian economies. An accumulated sample of 105 unbalanced panel data of financial firms over the period of 2000-2015, by applying General Method of Moment (GMM) estimation techniques one-step at the difference in order to identify factors influencing credit risk. This study is inspired by two broad categories of explanatory variables which are bank-specific and macroeconomic. Bank-specific factors influencing unsystematic risk, while macroeconomic factors promoting systematic risk. The study uses a proxy of non-performing loans for credit risk in banking sectors of Pakistan, India, and Bangladesh. The empirical results have been found aligned with theoretical arguments and literature as expected. In comparison, NPLs in Pakistan is greater than India and Bangladesh, while India has the lowest ratio of non-performing loans. The study documents that bank-specific factors (inefficiency, profitability, capital ratio and leverage) have a significant contribution towards credit risk. Further, the study also finds a significant impact of macroeconomic variables on non-performing loans. While, the result in the case of Bangladesh predicts contradictions that have no significant effect on non-performing loans at various levels. The overall results indicate that credit risk is not influenced by only external factors but also affect by internal factors like bad management and skimping etc.
The banking sector in Kosovo continues to have a high level of sustainability and financial stability. Two substantial components for the stability of the banking system appear to be liquidity and liquidity risk. The purpose of this paper is to analyze liquidity management in Kosovo's commercial banks through liquidity risk indicators from 2008 to 2017. By comparing the methodology of the data presented, the study will assess the state of management of the liquidity risk of commercial banks. From 2008 until now, commercial banks in Kosovo have had liquidity reserves at a level higher than the level required by CBK, which means that exposure to liquidity risk was minimal.
Non-performing loans (NPLs) present one of the most controversial issues in both developed and developing countries. The main purpose of this paper is to analyze and compare the loan portfolio and NPLs in the Western Balkan countries: Albania, Bosnia and Herzegovina, Kosovo, Macedonia, Montenegro, and Serbia for the period 2008-2015. Besides, this research aims to make a comparative analysis of some other macroeconomic indicators and industry factors that affect them such as GDP, banking sector assets, loan portfolio, asset participation in GDP, credit participation in GDP, deposit credit ratio, the NPL report on total loans. The results show that the NPL have had a growing trend in the post-global financial crisis, with different variations. In this regard, the highest rate of NPL reflects Serbia, Albania, followed by Montenegro, B&H, and Macedonia, while the lowest rate is in Kosovo.
Purpose: Using panel data approach in Pakistani banking sector for 7 year time period from 2010 to 2016, the aim behind this study was to examine the bank specific, industry specific and macroeconomic determinants of bank profitability Research Design: Quantitative research design has been employed with OLS, random effect model and fixed effect model, moreover regression and correlation analysis has been used in this study Findings: Rise in NPLs ratio, Loan loss provision, inflation and exchange rate reduces the profitability of banks while increase in market power, bank size, capital adequacy enhance the profitability Practical Implication: The deleterious impact of different indicators on profitability of banks shows that distressed banking sector can cause hindrance in not only growth of financial sector but can also cause the poor growth of economy. Outcomes of the study emphasis on the need of clear-out of NPLs to keep financial sector sound as NPLs cause high loan loss provision which effect the capitalization of banks that ultimately effect the economic growth of financial as well as other sectors of economy. Banking supervisory agencies should pay attention towards banking monitory policies and banks macroeconomic policies Originality/value: This study examine the impact of all three types of indicator (Bank specific, industry specific and macroeconomic) on banks profitability by employing latest data from 2010 to 2016 in which major reforms were held in banking industry of Pakistan because there exist rare studies with all three types of variables with latest figures
Banks are believed to instrumental to economic growth because it provides the financial backbone needed to spur economic development through business creation and expansion. A healthy and resilient banking sector signals economic growth and development that is sustainable. The efficient transfer of funds from those that has surplus of them towards those that need them has been made possible due to the intermediation of banks. In the Philippines, banking formally started in 1851 with the establishment of the Bank of the Philippine Islands, which up to this day, stands to be one of the country’s biggest and most stable universal bank. This study analyzes how universal banks grew over the years, and determines whether a correlation exists between universal bank growth and economic growth, using the variable of GDP growth rate as proxy for economic growth. The study showed that at the most recent periods, universal banks’ ROE and ROA are negatively correlated with GDP growth rate. Key words: Universal banks, History of banking, Economic growth of the Philippines, GDP growth rate
The study examined the dynamic responses of profitability indexes to capital adequacy ratios of authorized internationalized deposit money banks in Nigeria. The data were sourced from the financial year books of the deposit money banks and analyzed with static and dynamic panel estimators. The static estimator shows that the banks have differences in managerial style, size and profitability. Also, it was revealed that return on asset and return on equity responded positively to asset size, efficiency of the use of asset and current ratio in the static models and they were highly significant. However, they were insignificant in the dynamic specifications except asset size that was significant in the return on asset model showing a weak dynamic response of profitability to capital adequacy ratios. Hence the study recommended that Banks should improve their share based as to increase the asset as this will improve profitability.
Since independence in 2011 the Republic of South Sudan has witnessed growth in the financial systems and the overall economy. This has led to growth in the number of the financial institutions in the country. There is however minimal research on their overall performance. Hence the current research sought to determine the effect of ownership structure, bank stability and the financial performance of commercial banks in South Sudan. The population for the study was all the 29 commercial banks in South Sudan. Secondary data was collected for the period 2012-2017 from audited annual financial reports of individual banks and from the Central Bank of South Sudan reports while primary data was collected by use of a semi-structured questionnaire. The research utilized both descriptive and inferential statistical methods in the analysis. The statistical tests to be utilized in the study included t-tests, f-test, regression models and ANOVA models. The results of the study indicated there was a statistically significant moderating effect of ownership structure on the financial performance of commercial banks in South Sudan. The study recommends that the government should adopt better measures to safeguard public owned commercial banks to improve their efficiency and performance.
The main aim of this study was to empirically assess the main microeconomic factors that affect a bank's performance. The objectives were to ascertain if there is a relationship between the performance variables with the microeconomic variables, determine those that are significant and their impact on the performance of banks in Zimbabwe. An econometric model was built from balanced panel data and the Arellano-Bond estimation procedure was employed. The empirical analysis was carried out on a sample of 17 banks that were operational in the years 2010 to 2017 in Zimbabwe. Return on Assets (ROA), Return on Equity (ROE) and Net Interest Margin (NIM) were used as the performance indicators in the analysis. The results indicate the main microeconomic factors to be those attributed to growth, credit risk, capitalisation, managerial efficiency, liquidity and diversification in the Zimbabwean financial institutions. Performance in these institutions is generally good as measured by positive persistent profits, that is, ROA, ROE and NIM. These returns reflect the extent to which these institutions are resilient to the economic crisis.
Purpose: Using panel data approach in Pakistani banking sector for 7 year time period from 2010 to 2016, the aim behind this study was to examine the bank specific, industry specific and macroeconomic determinants of bank profitability Research Design: Quantitative research design has been employed with OLS, random effect model and fixed effect model, moreover regression and correlation analysis has been used in this study Findings: Rise in NPLs ratio, Loan loss provision, inflation and exchange rate reduces the profitability of banks while increase in market power, bank size, capital adequacy enhance the profitability Practical Implication: The deleterious impact of different indicators on profitability of banks shows that distressed banking sector can cause hindrance in not only growth of financial sector but can also cause the poor growth of economy. Outcomes of the study emphasis on the need of clear-out of NPLs to keep financial sector sound as NPLs cause high loan loss provision which effect the capitalization of banks that ultimately effect the economic growth of financial as well as other sectors of economy. Banking supervisory agencies should pay attention towards banking monitory policies and banks macroeconomic policies Originality/value: This study examine the impact of all three types of indicator (Bank specific, industry specific and macroeconomic) on banks profitability by employing latest data from 2010 to 2016 in which major reforms were held in banking industry of Pakistan because there exist rare studies with all three types of variables with latest figures
Banks are believed to instrumental to economic growth because it provides the financial backbone needed to spur economic development through business creation and expansion. A healthy and resilient banking sector signals economic growth and development that is sustainable. The efficient transfer of funds from those that has surplus of them towards those that need them has been made possible due to the intermediation of banks. In the Philippines, banking formally started in 1851 with the establishment of the Bank of the Philippine Islands, which up to this day, stands to be one of the country’s biggest and most stable universal bank. This study analyzes how universal banks grew over the years, and determines whether a correlation exists between universal bank growth and economic growth, using the variable of GDP growth rate as proxy for economic growth. The study showed that at the most recent periods, universal banks’ ROE and ROA are negatively correlated with GDP growth rate. Key words: Universal banks, History of banking, Economic growth of the Philippines, GDP growth rate
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 |