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: 4 / 4 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 — 22 Oct 2026 01:33 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 | 1 | 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 4 / 4 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): 2026-10-21T00:22:01.052767+00:00 — 2026-10-22T01:33:53.648285+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 1 | 4 | 4/4 |
| 2022 | All selected publications | 1 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 2 | 4 | 4/4 |
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 |
|---|---|
| 2017 | 1 |
| 2020 | 1 |
| 2021 | 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 | 4 | 2 | 5 | 4/4 | 0.5 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The study investigated the challenges confronting preparation of financial report of selected state governments in Southwestern Nigeria. Financial reporting in the Nigerian public sector is marred by a host of challenges that hinder transparency, accountability and effective governance. The study used a descriptive survey research design and primary data were collected from three states of Ondo, Ekiti and Ogun through structured questionnaires. The target population consisted of the Office of the Accountant General and the Office of the Auditor General within government departments. The total population of the study was 763 individuals, including 276 participants in Ondo State, 256 participants in Ekiti State and 231 participants in Ogun State. The sample size was 262 participants, selected using the Taro Yamane formula. The online survey was completed with 100% validity and a reliability test coefficient of 0.929 using Cronbach's alpha statistics. Data were analysed using descriptive statistics. The study examined the lack of technical expertise, inadequate accounting systems, complex regulatory environment, transparency and accountability concerns, inadequate funding and political interference. To address these challenges, it was recommended that Nigeria must invest in capacity-building, modernize its technology infrastructure, establish effective regulatory mechanisms, enhance transparency measures, allocate adequate resources and safeguard financial reporting from political interference. By doing so, Nigeria can pave the way for accurate, credible financial reporting, fostering trust, good governance and economic development.
This study aims to determine the determinants of budget absorption at Jember University. Determinants of budget absorption include planning, budget execution, human resources, procurement of goods and services and coordination with other sectors or agencies. This study uses the positivism paradigm with a quantitative approach to test hypotheses, so the data analysis in this study uses hypothesis testing. The study was conducted at the University of Jember. Sources of data in this study are primary data sources and secondary data. Primary data in this study were obtained from questionnaires disebearkan to BPP Work Units, Planning Staff, and Finance Staff at the Head Office of Jember University. While the secondary data in this study is in the form of Jember University Financial Statements. The research sample was obtained using purposive sampling with a total of 63 people. The results showed that coordination with other sectors or agencies was an aspect that had a positive effect on budget absorption at Jember University.
The unit of analysis in this study is local government data from Indonesia. The goal of this research is to identify the impact of fiscal stress and citizen trust on digital and green innovation strategies. This study also seeks to as certain the impact of digital and green innovation strategies on the impact of fiscal stress and citizen trust on sustainable financial performance. This research uses a descriptive verification method in conjunction with a quantitative approach. Path analysis is an analytical method used in the processing of statistical data. The research samples in this study are 148 Regional Apparatus Organizations (OPD) from East Java Province. The tests showed that fiscal pressure and citizen trust have a significant impact on digital and green innovation strategies. The test results also show that fiscal stress and digital and green innovation strategies have a significant effect on sustainable financial performance, whereas citizen trust has no significant effect on sustainable financial performance. Simultaneously, digital and green innovation strategy are critical for mitigating the impact of fiscal stress and increasing citizens' trust sustainable financial performance.
This study aimed to examine the influence of the financial statements on local revenue by using the results of the examination opinion as moderating variable. The study used Legitimacy Theory to explain and analyze the relationship between variables. The population in the study was all the districts and cities in Indonesia totaling 497 county and city governments. The sampling method used in the study was judgment sampling. Samples that met the criteria of the study were 116 local governments. The analytical tool used in this research was the analysis of MRA (Moderated Regression Analysis). The results showed that the effects of the partial test of the quality of financial reports to local revenues were not significant positive effects. While the partial test results stating the influence of audit opinion on local revenue having positive effects were not significant. Other results showed that the interaction between the results of the examination opinion to the quality of financial statements was insignificant on the quality of financial statements. In other words, the results of the examination opinions moderated (strengthened) the relationship between quality of financial report on local revenue of district and city governments in Indonesia.
The study investigated the challenges confronting preparation of financial report of selected state governments in Southwestern Nigeria. Financial reporting in the Nigerian public sector is marred by a host of challenges that hinder transparency, accountability and effective governance. The study used a descriptive survey research design and primary data were collected from three states of Ondo, Ekiti and Ogun through structured questionnaires. The target population consisted of the Office of the Accountant General and the Office of the Auditor General within government departments. The total population of the study was 763 individuals, including 276 participants in Ondo State, 256 participants in Ekiti State and 231 participants in Ogun State. The sample size was 262 participants, selected using the Taro Yamane formula. The online survey was completed with 100% validity and a reliability test coefficient of 0.929 using Cronbach's alpha statistics. Data were analysed using descriptive statistics. The study examined the lack of technical expertise, inadequate accounting systems, complex regulatory environment, transparency and accountability concerns, inadequate funding and political interference. To address these challenges, it was recommended that Nigeria must invest in capacity-building, modernize its technology infrastructure, establish effective regulatory mechanisms, enhance transparency measures, allocate adequate resources and safeguard financial reporting from political interference. By doing so, Nigeria can pave the way for accurate, credible financial reporting, fostering trust, good governance and economic development.
The unit of analysis in this study is local government data from Indonesia. The goal of this research is to identify the impact of fiscal stress and citizen trust on digital and green innovation strategies. This study also seeks to as certain the impact of digital and green innovation strategies on the impact of fiscal stress and citizen trust on sustainable financial performance. This research uses a descriptive verification method in conjunction with a quantitative approach. Path analysis is an analytical method used in the processing of statistical data. The research samples in this study are 148 Regional Apparatus Organizations (OPD) from East Java Province. The tests showed that fiscal pressure and citizen trust have a significant impact on digital and green innovation strategies. The test results also show that fiscal stress and digital and green innovation strategies have a significant effect on sustainable financial performance, whereas citizen trust has no significant effect on sustainable financial performance. Simultaneously, digital and green innovation strategy are critical for mitigating the impact of fiscal stress and increasing citizens' trust sustainable financial performance.
This study aims to determine the determinants of budget absorption at Jember University. Determinants of budget absorption include planning, budget execution, human resources, procurement of goods and services and coordination with other sectors or agencies. This study uses the positivism paradigm with a quantitative approach to test hypotheses, so the data analysis in this study uses hypothesis testing. The study was conducted at the University of Jember. Sources of data in this study are primary data sources and secondary data. Primary data in this study were obtained from questionnaires disebearkan to BPP Work Units, Planning Staff, and Finance Staff at the Head Office of Jember University. While the secondary data in this study is in the form of Jember University Financial Statements. The research sample was obtained using purposive sampling with a total of 63 people. The results showed that coordination with other sectors or agencies was an aspect that had a positive effect on budget absorption at Jember University.
This study aimed to examine the influence of the financial statements on local revenue by using the results of the examination opinion as moderating variable. The study used Legitimacy Theory to explain and analyze the relationship between variables. The population in the study was all the districts and cities in Indonesia totaling 497 county and city governments. The sampling method used in the study was judgment sampling. Samples that met the criteria of the study were 116 local governments. The analytical tool used in this research was the analysis of MRA (Moderated Regression Analysis). The results showed that the effects of the partial test of the quality of financial reports to local revenues were not significant positive effects. While the partial test results stating the influence of audit opinion on local revenue having positive effects were not significant. Other results showed that the interaction between the results of the examination opinion to the quality of financial statements was insignificant on the quality of financial statements. In other words, the results of the examination opinions moderated (strengthened) the relationship between quality of financial report on local revenue of district and city governments in Indonesia.
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 |