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: 14 / 14 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 00:21 UTC — 21 Oct 2026 00:49 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.
5 / 14 with data · 9 missing or unmatched. Percentages use all 14 selected publications.
5 / 14 with data · 9 missing or unmatched. Percentages use all 14 selected publications.
14 / 14 with data · 0 missing or unmatched. Percentages use all 14 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 |
|---|---|---|---|---|---|
| 2016 | All selected publications | 14 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 28 | 14 | 14/14 | 14/14 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2016 | All selected publications | 79 | 14 | 14/14 | 14/14 |
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 14 / 14 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): 2026-10-21T00:21:59.431718+00:00 — 2026-10-21T00:49:29.381560+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 | 1 | 14 | 14/14 |
| 2018 | All selected publications | 6 | 14 | 14/14 |
| 2019 | All selected publications | 10 | 14 | 14/14 |
| 2020 | All selected publications | 9 | 14 | 14/14 |
| 2021 | All selected publications | 15 | 14 | 14/14 |
| 2022 | All selected publications | 12 | 14 | 14/14 |
| 2023 | All selected publications | 11 | 14 | 14/14 |
| 2024 | All selected publications | 7 | 14 | 14/14 |
| 2025 | All selected publications | 4 | 14 | 14/14 |
| 2026 | All selected publications | 1 | 14 | 14/14 |
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 |
|---|---|
| 2016 | 14 |
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 | 13 | 18 | 62 | 13/13 | 1.38 | 1 | 76.9 | 13/13 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 10 | 17 | 1/1 | 10.0 | 10 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.
It is theoretically believed that increase in firm size would result to increase in firm profitability. Therefore, this study examines the relationship between size and profitability of six banks in Nigeria after the 2005 consolidation exercise. The measure of profitability is return on assets. Employing the static panel data regression method, the study found that size has an insignificant negative relationship with bank profitability. This study concludes that the 2005 consolidation exercise did not enhance the profitability of the selected banks.
Bankac?l???n bir risk yönetme sanat? oldu?u genel kabul görmü? bir durumdur. Bu sanat? icra ederken belirli kurallar ve bir sürecin varl??? gereklidir. Risk denilince akla “kar??l???nda net bir zarar?n hesaplanabilece?i olumsuz bir durum” gelmektedir. Ne var ki, bankac?l???n ilk ça?lardan beri bankac?l?k faaliyetlerinin temelinde olan “güven” unsuru gibi daha soyut riskleri içerisinde bar?nd?rmaktad?r. Güvenin sars?lmas? ile h?zl? bir ?ekilde yay?labilecek zarar, bankalara öngörülemez sonuçlar haz?rlayabilir. Bu nedenle, bankalar?n risklerini hesap ederken sadece finansal, hesaplanabilir riskler için de?il finansal olmayan riskler için de gerekli önlemleri almalar? gerekmektedir. Türk bankac?l?k sisteminde finansal olmayan risklerin ba??nda önemi giderek artan “itibar riski” gelmektedir. Bankac?l?kta faaliyet alan? hesaplar ve rakamlar üzerine oldu?undan, itibar riski sorununun böyle bir alana oturtuldu?unda aç?klamas? ve hesaplamas? ne kadar zor bir sürecin ortaya ç?kt??? anla??lacakt?r. ?tibar riskinin yönetilmesi, süreci konusunda literatürde Türkiye’de bankac?l?k sistemine dair çal??malar yok denecek kadar azd?r. Bu çal??mada, itibar riskinin önlenmesi, yönetilmesi ve süreci için Türk bankac?l?k sistemindeki düzenlemeler irdelenecek olup yine Türk bankac?l?k sistemindeki itibar riskinin gerçekle?ti?i vakalar incelenecektir.
Increasing trend in Non-performing loans (NPLs) adversely affected availability of credits to economic agents in all sectors of the economy thereby constraining financial intermediation and economic activities. The study examined the trend and growth rates of NPLs in the Nigerian banking system during the major banking policy reforms regimes namely: pre-consolidation (1979 – 2004) and post consolidation era (2005 – 2014). Time series data collected were analyzed using descriptive and regression analyses. Results indicated irregular fluctuations in NPLs’ trend in both periods. This result suggested prevalent high credit risk and corresponding reduction in lending capability of banks in the economy. Regression estimates of NPLs’ trend in the two regimes showed significant negative growth rates.This implies that, financial policies implemented in the country yielded positive impacts over time. NPLs assumed an exponential growth rate of -1.39% and -15.55% during the pre and post consolidated eras respectively. An average exponential growth rate of -5.2% was obtained during the entire period. Quadratic trend analysis revealed that, increase influence of time variable significantly reduced NPLs during pre- consolidation regime and the entire period considered. However, this influence was stagnated during post consolidation period. Based on the result, it is recommended that, prudent lending coupled with swift and orderly clean-up of banking system loan portfolios should be adopted to decelerate NPLs trend and growth rate in Nigeria. Time is an important element in designing and implementing any banking and macroeconomic policy.
Using bank level data this paper examines how bank’s specific characteristics and macroeconomic indicators affect the profitability in the Tunisian banking industry over the period 1990–2008. The results indicate that the more profitable banks are those higher amount of capital and lower operating costs. Furthermore, it appears that private banks tend to perform better than state owned ones. Despite the great importance given to the board of directors, it doesn't have a dominant role in the Tunisian commercial banks. Finally, turning to macroeconomic conditions and its impact on banks’ profitability, we find that the real interest rate has a positive effect on bank profitability.
In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.
It is theoretically believed that increase in firm size would result to increase in firm profitability. Therefore, this study examines the relationship between size and profitability of six banks in Nigeria after the 2005 consolidation exercise. The measure of profitability is return on assets. Employing the static panel data regression method, the study found that size has an insignificant negative relationship with bank profitability. This study concludes that the 2005 consolidation exercise did not enhance the profitability of the selected banks.
Bankac?l???n bir risk yönetme sanat? oldu?u genel kabul görmü? bir durumdur. Bu sanat? icra ederken belirli kurallar ve bir sürecin varl??? gereklidir. Risk denilince akla “kar??l???nda net bir zarar?n hesaplanabilece?i olumsuz bir durum” gelmektedir. Ne var ki, bankac?l???n ilk ça?lardan beri bankac?l?k faaliyetlerinin temelinde olan “güven” unsuru gibi daha soyut riskleri içerisinde bar?nd?rmaktad?r. Güvenin sars?lmas? ile h?zl? bir ?ekilde yay?labilecek zarar, bankalara öngörülemez sonuçlar haz?rlayabilir. Bu nedenle, bankalar?n risklerini hesap ederken sadece finansal, hesaplanabilir riskler için de?il finansal olmayan riskler için de gerekli önlemleri almalar? gerekmektedir. Türk bankac?l?k sisteminde finansal olmayan risklerin ba??nda önemi giderek artan “itibar riski” gelmektedir. Bankac?l?kta faaliyet alan? hesaplar ve rakamlar üzerine oldu?undan, itibar riski sorununun böyle bir alana oturtuldu?unda aç?klamas? ve hesaplamas? ne kadar zor bir sürecin ortaya ç?kt??? anla??lacakt?r. ?tibar riskinin yönetilmesi, süreci konusunda literatürde Türkiye’de bankac?l?k sistemine dair çal??malar yok denecek kadar azd?r. Bu çal??mada, itibar riskinin önlenmesi, yönetilmesi ve süreci için Türk bankac?l?k sistemindeki düzenlemeler irdelenecek olup yine Türk bankac?l?k sistemindeki itibar riskinin gerçekle?ti?i vakalar incelenecektir.
Net interest margin is a significant indicator of the efficiency of the banking financial intermediation. In general, the level of net interest margin is primarily a consequence of result of the level of development and competitiveness of the financial system of country.Therefore, It is important to determine their determinants. In this article, we analyze the determinants of net interest margin of 18 banks in Tunisia between ( 2000…2013). We found that among the internal factors, size, deposits, TLA, CEA, risk have an significant impact on net interest margin. In external factors, only inflation have a significant impact on net interest margin..
Increasing trend in Non-performing loans (NPLs) adversely affected availability of credits to economic agents in all sectors of the economy thereby constraining financial intermediation and economic activities. The study examined the trend and growth rates of NPLs in the Nigerian banking system during the major banking policy reforms regimes namely: pre-consolidation (1979 – 2004) and post consolidation era (2005 – 2014). Time series data collected were analyzed using descriptive and regression analyses. Results indicated irregular fluctuations in NPLs’ trend in both periods. This result suggested prevalent high credit risk and corresponding reduction in lending capability of banks in the economy. Regression estimates of NPLs’ trend in the two regimes showed significant negative growth rates.This implies that, financial policies implemented in the country yielded positive impacts over time. NPLs assumed an exponential growth rate of -1.39% and -15.55% during the pre and post consolidated eras respectively. An average exponential growth rate of -5.2% was obtained during the entire period. Quadratic trend analysis revealed that, increase influence of time variable significantly reduced NPLs during pre- consolidation regime and the entire period considered. However, this influence was stagnated during post consolidation period. Based on the result, it is recommended that, prudent lending coupled with swift and orderly clean-up of banking system loan portfolios should be adopted to decelerate NPLs trend and growth rate in Nigeria. Time is an important element in designing and implementing any banking and macroeconomic policy.
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 |