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, 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 — 23 Oct 2026 11:58 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 | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 3 | 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 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): 2026-10-21T07:22:47.403470+00:00 — 2026-10-23T11:58:45.165032+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 | 1 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 |
| 2025 | All selected publications | 1 | 2 | 2/2 |
| 2026 | All selected publications | 1 | 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 | 1 |
| 2023 | 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 | 1 | 1 | 2 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 2 | 3 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to identify the factors that influence the payment of ZIS through e-wallets in the Jabodetabek community. This research is a quantitative study. The study used primary data sources from a Likert scale questionnaire distributed to Muslims in the Jabodetabek community who have one of the following five e-wallets: GoPay, OVO, Shopee Pay, Dana, and LinkAja. The sample size in this study was 145 respondents, calculated using the Slovin formula. The data analysis methods used in this study include reliability tests, validity tests, classical assumption tests, and multiple linear regression analysis. The results of this study show that, partially, religiosity has a negative and insignificant effect on the intention to pay ZIS through e-wallets. The variables of ease and trust have a significant positive effect on the intention to pay ZIS through e-wallets. When considered simultaneously, religiosity, ease, and trust have a significant effect on the intention to pay ZIS through e-wallets.
This study will examine the impact of economic collision on the non-performing financing in sharia bank in Indonesia. The current study adopts VAR/VECM method to examine inter variables correlation by testing an economic factors, including 1) Real GDP Growth, 2) Exchange Rate, 3) Inflation, 4) Interest Rate, and 5) IDX Composite. A total NPF of 14 Islamic Banks and 20 Sharia Business Units were selected as data samples from 2006 to 2020. The findings indicate that inflation positively impacts NPF in the short run and delivers the biggest shock to NPF. The result states that Inflation, Exchange rate, and Interest rate are the dominant factors to shock NPF in Islamic Banks. From the analysis results, the economic variables, i.e., GDP, exchange rates, inflation, interest rates, and the IDX Composite, provide a stable long-term relationship and, in the short term, adjust to each other to achieve a new balance in the long term.
This study aims to identify the factors that influence the payment of ZIS through e-wallets in the Jabodetabek community. This research is a quantitative study. The study used primary data sources from a Likert scale questionnaire distributed to Muslims in the Jabodetabek community who have one of the following five e-wallets: GoPay, OVO, Shopee Pay, Dana, and LinkAja. The sample size in this study was 145 respondents, calculated using the Slovin formula. The data analysis methods used in this study include reliability tests, validity tests, classical assumption tests, and multiple linear regression analysis. The results of this study show that, partially, religiosity has a negative and insignificant effect on the intention to pay ZIS through e-wallets. The variables of ease and trust have a significant positive effect on the intention to pay ZIS through e-wallets. When considered simultaneously, religiosity, ease, and trust have a significant effect on the intention to pay ZIS through e-wallets.
This study will examine the impact of economic collision on the non-performing financing in sharia bank in Indonesia. The current study adopts VAR/VECM method to examine inter variables correlation by testing an economic factors, including 1) Real GDP Growth, 2) Exchange Rate, 3) Inflation, 4) Interest Rate, and 5) IDX Composite. A total NPF of 14 Islamic Banks and 20 Sharia Business Units were selected as data samples from 2006 to 2020. The findings indicate that inflation positively impacts NPF in the short run and delivers the biggest shock to NPF. The result states that Inflation, Exchange rate, and Interest rate are the dominant factors to shock NPF in Islamic Banks. From the analysis results, the economic variables, i.e., GDP, exchange rates, inflation, interest rates, and the IDX Composite, provide a stable long-term relationship and, in the short term, adjust to each other to achieve a new balance in the long term.
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 |