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: 2 / 2 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: 21 Oct 2026 00:22 UTC — 21 Oct 2026 00:22 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
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 2 / 2 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): 2026-10-21T00:22:03.847735+00:00 — 2026-10-21T00:22:03.875032+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 | 2 |
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 | 2 | 0 | 2 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The Covid-19 pandemic which became an epidemic throughout the world including Indonesia, so that all sectors including the economy experienced contractions, one of which was Islamic Commercial Banks which faced challenges in the midst of the Covid-19 outbreak such as possible risks to financial performance, so the purpose of this study is to analyze financial performance. Islamic commercial banks during the covid-19 pandemic and are expected to increase economic growth and maintain stability in economic conditions, using ROA, CAR, NPF, FDR and ERM ratios as variables, with a sample of 11 Islamic Commercial Banks, research using comparative quantitative methods, data processed with the paired sample t-test and the data taken are the financial statements of Islamic Commercial Banks for the previous 2018 – 2019 period, and the 2020 – 2021 period after covid-19. The result is that there are significant differences in the CAR, ROA, FDR and ERM ratios on the financial performance of Islamic banking before and after covid-19, while the NPF is not significant.
In 2021, Indonesia’s administration decides to conduct a merger among Islamic government bank. The emerge of syariah financial market is the reason of this policy. This study analyzes Islamic banks merger policy by assessing their financial performance. The purpose of this study is to analyze financial efficiency of Islamic Banks and Conventional Banks in Indonesia based on the 2019 financial reports by using the Data Envelopment Analysis (DEA) method. Practical contributions of this study for the banking industry was as a guidance for the management in measuring banking activities by analysing the efficiency level so that it can be used to compile business strategies. Basically, financial performance analysis is the result of evaluation of past performance. In this study, we use different analyses in order to obtain a company’s financial position that represents the company’s reality and potential for continuous performance. Business performance represents effectiveness and the efficiency of an organization or company. Company or organization assess their performance to understand their achivement and evaluate their business plans. In this study we developed business performance measurement based on input and output of Islamic and conventional banks in Indonesia. We employ Data Envelopment Analysis which calculate the ratio between output and input. In this study, we use deposits, fixed assets and labor costs as input, while credit or financing and operating income as output variables. In this study, we find that there are several conventional and Islamic banks that suffers inefficiency. This inefficiency occurs due to the ratio of inputs and outputs in conventional and Islamic banks are not optimum.
The Covid-19 pandemic which became an epidemic throughout the world including Indonesia, so that all sectors including the economy experienced contractions, one of which was Islamic Commercial Banks which faced challenges in the midst of the Covid-19 outbreak such as possible risks to financial performance, so the purpose of this study is to analyze financial performance. Islamic commercial banks during the covid-19 pandemic and are expected to increase economic growth and maintain stability in economic conditions, using ROA, CAR, NPF, FDR and ERM ratios as variables, with a sample of 11 Islamic Commercial Banks, research using comparative quantitative methods, data processed with the paired sample t-test and the data taken are the financial statements of Islamic Commercial Banks for the previous 2018 – 2019 period, and the 2020 – 2021 period after covid-19. The result is that there are significant differences in the CAR, ROA, FDR and ERM ratios on the financial performance of Islamic banking before and after covid-19, while the NPF is not significant.
In 2021, Indonesia’s administration decides to conduct a merger among Islamic government bank. The emerge of syariah financial market is the reason of this policy. This study analyzes Islamic banks merger policy by assessing their financial performance. The purpose of this study is to analyze financial efficiency of Islamic Banks and Conventional Banks in Indonesia based on the 2019 financial reports by using the Data Envelopment Analysis (DEA) method. Practical contributions of this study for the banking industry was as a guidance for the management in measuring banking activities by analysing the efficiency level so that it can be used to compile business strategies. Basically, financial performance analysis is the result of evaluation of past performance. In this study, we use different analyses in order to obtain a company’s financial position that represents the company’s reality and potential for continuous performance. Business performance represents effectiveness and the efficiency of an organization or company. Company or organization assess their performance to understand their achivement and evaluate their business plans. In this study we developed business performance measurement based on input and output of Islamic and conventional banks in Indonesia. We employ Data Envelopment Analysis which calculate the ratio between output and input. In this study, we use deposits, fixed assets and labor costs as input, while credit or financing and operating income as output variables. In this study, we find that there are several conventional and Islamic banks that suffers inefficiency. This inefficiency occurs due to the ratio of inputs and outputs in conventional and Islamic banks are not optimum.
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 |