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: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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: 22 Oct 2026 01:09 UTC — 27 Oct 2026 21:54 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 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2013 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2015 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2016 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2017 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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 5 / 5 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): 2026-10-22T01:09:28.116905+00:00 — 2026-10-27T21:54:40.257429+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 2 | 5 | 5/5 |
| 2020 | All selected publications | 1 | 5 | 5/5 |
| 2021 | All selected publications | 4 | 5 | 5/5 |
| 2022 | All selected publications | 2 | 5 | 5/5 |
| 2023 | All selected publications | 3 | 5 | 5/5 |
| 2024 | All selected publications | 1 | 5 | 5/5 |
| 2025 | All selected publications | 2 | 5 | 5/5 |
| 2026 | All selected publications | 0 | 5 | 5/5 |
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 |
|---|---|
| 2013 | 1 |
| 2017 | 1 |
| 2019 | 1 |
| 2020 | 1 |
| 2025 | 1 |
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 | 5 | 10 | 16 | 5/5 | 2.0 | 1 | 80.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
Islamic finance is a growing industry with global distribution in all continents including Europe and America. The aim of the current study was to examine how popular is Islamic finance in the USA during the period 2014-2019 using Google Trends. In addition, the interest in Islamic finance across different US states was also investigated. Using “Islamic finance” and “Islamic bank” as search terms in Goggle Trends, the trend curve showed decreases in search volumes, suggesting a decline in the popularity of Islamic finance in the USA with years. Search volumes were detected in seven out of 50 states, suggesting low interest in Islamic finance in the majority of US states. The order of the popularity in the seven states was: Virginia > New York > New Jersey > Illinois > Texas > California > Pennsylvania > Georgia > Florida > Massachusetts. Longitudinal survey studies are needed to confirm the present findings.
The perceptions of Islamic banking professionals are surveyed through a questionnaire to explore whether the process of risk management mediates board involvement in risk management and risk management practices of Islamic banks in Malaysia and Egypt. The findings of this study identified that the Islamic banks in the selected countries are somewhat efficient in their risk management process. It was noticed that board involvement in risk management, process of risk management and risk management among Islamic banks in Malaysia are significantly higher than their counterparts in Egypt. Furthermore, high involvement of boards in risk management significantly increases the risk management process, and in turn, leads to significantly higher riskmanagement practices in Islamic banks. Hence, boards should take formal responsibility for setting, managing and periodically assessing the risk management culture of the banks. It is expected that the outcomes of this study would help policy setters in the selected countries to develop a well-structured and harmonized risk management process that enhance risk management practices, with emphasis on the effective involvements of the board of directors and Shari’ah supervisory boards in risk management practices.
It has always been believed that government ownership would lead to bad financial performance and overstaffing in any organization. This study aims to examine the effect of government ownership on staffing level and the financial performance of Kuwaiti bank over the period 2010-2018. Using the financial data of ten banks listed at Kuwait stock exchange (KSE), results shows that there was s statistically significant direct relation between government ownership and overstaffing and statistically significant inverse relation between government ownership and the financial performance of banks measured by return on assets (ROA). On the other hand results show that there was no relation between overstaffing and the financial performance of Kuwaiti banks.
This study aims to investigate the relation between Islamic securitization representing in Sukuk, and the Islamic banks ‘liquidities in light of Basel 3 requirements. So that the study investigates three variables which include Islamic securitization as independent variable; net cash from financing activities and net noncore funding dependence ratio as dependent variables. The study follows quantitative method by employing cross sectional data context analysis. The data is collected from six banks over six countries through the period 2011-2013. Pearson regression is used to measure causal relation between Sukuk and Net Stable Fund Ratio (NSFR), hence the model is developed to describe the relation. The study uses net noncore funding dependence ratio as (NSFR) which was required by Basel III. The regression result finds that there is positive relation between Sukuk and NSFR for Islamic banks. Also the study uses loans / deposits ratio to discover the relation between Sukuk and Islamic banks ‘liquidity risk, so the regression test shows that there is positive relation between Sukuk and loans / deposit ratio.
There is a limited understanding of the emerging technologies, such as blockchain, artificial intelligence (AI), Internet of Things (IoT), and machine learning (ML) and their effect on the insurance sector in the Saudi Arabian market. A structural equational modelling was implemented to investigate the impact of emerging technology on customer experience, business productivity, risk management, and financial performance in Saudi insurance companies. Online surveys were directed to the insurance sector to explore their perceptions of the use of technology and its effect in 2024. The sample includes 102 valid responses in the data analysis. The findings show that the development and integration of technology in the Saudi Arabian insurance sector significantly improve customer experience, business productivity, risk management, and financial performance, which aligns with accelerated transformation in the market to achieve the main goals of the Saudi Vision 2030.
There is a limited understanding of the emerging technologies, such as blockchain, artificial intelligence (AI), Internet of Things (IoT), and machine learning (ML) and their effect on the insurance sector in the Saudi Arabian market. A structural equational modelling was implemented to investigate the impact of emerging technology on customer experience, business productivity, risk management, and financial performance in Saudi insurance companies. Online surveys were directed to the insurance sector to explore their perceptions of the use of technology and its effect in 2024. The sample includes 102 valid responses in the data analysis. The findings show that the development and integration of technology in the Saudi Arabian insurance sector significantly improve customer experience, business productivity, risk management, and financial performance, which aligns with accelerated transformation in the market to achieve the main goals of the Saudi Vision 2030.
It has always been believed that government ownership would lead to bad financial performance and overstaffing in any organization. This study aims to examine the effect of government ownership on staffing level and the financial performance of Kuwaiti bank over the period 2010-2018. Using the financial data of ten banks listed at Kuwait stock exchange (KSE), results shows that there was s statistically significant direct relation between government ownership and overstaffing and statistically significant inverse relation between government ownership and the financial performance of banks measured by return on assets (ROA). On the other hand results show that there was no relation between overstaffing and the financial performance of Kuwaiti banks.
Islamic finance is a growing industry with global distribution in all continents including Europe and America. The aim of the current study was to examine how popular is Islamic finance in the USA during the period 2014-2019 using Google Trends. In addition, the interest in Islamic finance across different US states was also investigated. Using “Islamic finance” and “Islamic bank” as search terms in Goggle Trends, the trend curve showed decreases in search volumes, suggesting a decline in the popularity of Islamic finance in the USA with years. Search volumes were detected in seven out of 50 states, suggesting low interest in Islamic finance in the majority of US states. The order of the popularity in the seven states was: Virginia > New York > New Jersey > Illinois > Texas > California > Pennsylvania > Georgia > Florida > Massachusetts. Longitudinal survey studies are needed to confirm the present findings.
This study aims to investigate the relation between Islamic securitization representing in Sukuk, and the Islamic banks ‘liquidities in light of Basel 3 requirements. So that the study investigates three variables which include Islamic securitization as independent variable; net cash from financing activities and net noncore funding dependence ratio as dependent variables. The study follows quantitative method by employing cross sectional data context analysis. The data is collected from six banks over six countries through the period 2011-2013. Pearson regression is used to measure causal relation between Sukuk and Net Stable Fund Ratio (NSFR), hence the model is developed to describe the relation. The study uses net noncore funding dependence ratio as (NSFR) which was required by Basel III. The regression result finds that there is positive relation between Sukuk and NSFR for Islamic banks. Also the study uses loans / deposits ratio to discover the relation between Sukuk and Islamic banks ‘liquidity risk, so the regression test shows that there is positive relation between Sukuk and loans / deposit ratio.
The perceptions of Islamic banking professionals are surveyed through a questionnaire to explore whether the process of risk management mediates board involvement in risk management and risk management practices of Islamic banks in Malaysia and Egypt. The findings of this study identified that the Islamic banks in the selected countries are somewhat efficient in their risk management process. It was noticed that board involvement in risk management, process of risk management and risk management among Islamic banks in Malaysia are significantly higher than their counterparts in Egypt. Furthermore, high involvement of boards in risk management significantly increases the risk management process, and in turn, leads to significantly higher riskmanagement practices in Islamic banks. Hence, boards should take formal responsibility for setting, managing and periodically assessing the risk management culture of the banks. It is expected that the outcomes of this study would help policy setters in the selected countries to develop a well-structured and harmonized risk management process that enhance risk management practices, with emphasis on the effective involvements of the board of directors and Shari’ah supervisory boards in risk management practices.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |