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, 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 00:21 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.
10 / 14 with data · 4 missing or unmatched. Percentages use all 14 selected publications.
10 / 14 with data · 4 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 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 | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 | 0 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 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 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2013 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 6 | 5 | 5/5 | 5/5 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 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): 2026-10-21T00:21:59.435320+00:00 — 2026-10-21T00:22:06.123642+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 | 14 | 14/14 |
| 2018 | All selected publications | 0 | 14 | 14/14 |
| 2019 | All selected publications | 0 | 14 | 14/14 |
| 2020 | All selected publications | 0 | 14 | 14/14 |
| 2021 | All selected publications | 3 | 14 | 14/14 |
| 2022 | All selected publications | 3 | 14 | 14/14 |
| 2023 | All selected publications | 4 | 14 | 14/14 |
| 2024 | All selected publications | 6 | 14 | 14/14 |
| 2025 | All selected publications | 4 | 14 | 14/14 |
| 2026 | All selected publications | 2 | 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 |
|---|---|
| 2013 | 1 |
| 2014 | 1 |
| 2015 | 1 |
| 2016 | 3 |
| 2020 | 1 |
| 2022 | 5 |
| 2023 | 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 | 14 | 10 | 24 | 14/14 | 0.71 | 0.0 | 35.7 | 14/14 · 100.0% |
* Percentage among publications with a known citation count.
The quality of earnings indicates the current or future capability of the company to support the decisions made by managing board and other stakeholders. This research have to goal to examine the determinant of earnings quality in Indonesia, including: IFRS convergence, accounting disclosures, and audit committees. Data were acquired from official website in period of 2016-2018 and number of data was 212 observation data. Method of analysis involved regression test and classical assumption test. Result of research showed that the audit committee had a positive effect on earnings quality, while the convergence of IFRS and accounting disclosure cannot affect earnings quality. Research model was tested using control variables, respectively leverage, liquidity and company size. The test found that leverage is the only control variable that affects earnings quality. Information in financial statements is not the most important information to investors. Audit committee and creditor contribution play more important role in decisions regarding earnings quality.
This study aims to examine the impact of some bank characteristics (age, size, profitability and leverage) on the extent of voluntary disclosure in annual reports of listed banks in Borsa Istanbul. All (13) listed banks represent the sample of the study. The study adopted the deductive approach by developing hypotheses based on the relevant theories and results of prior studies. The study also applied the panel data strategy to analyze the collected data from annual reports across five years (2013-2017). The results indicated that there is a positive relationship between each bank characteristic (age, size, profitability and leverage) and the level of voluntary disclosure. The results also show that profitability has a big impact on the level of voluntary disclosure followed by leverage, whereas, age and size have a small effect.
In this paper, we examine the impact of CEO power on auditor choice. We are motivated by the competing financial reporting incentives arising from CEO power. Our empirical finding suggests that powerful CEOs are more likely to hire high-quality auditors as a signal of superior financial reporting quality. We contribute to the literature of auditor switch and extend the research on the links between CEO power and firm behaviors.
This study looks at the effect of accounting flexibility on earnings quality in public companies listed on the Indonesia Stock Exchange during the period 2016 to 2019. This study uses two models to measure earnings quality, namely ERC and earnings persistence. The results showed that accounting flexibility, namely the limitations of companies to carry out accrual earnings management, can reduce earnings quality, as shown by the abnormal accrual model which shows a significant positive coefficient direction, and for the ERC model and earnings persistence which shows a negative and significant coefficient direction. The higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018). Theoretical contributions show that the higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018; Purba, Surya, Joshi & Tiagy, 2023). The Implications of this research show that accounting flexibility is carried out when abnormal accruals reach the highest limit point reflected in accounting choices in net operating assets in the balance sheet, so in this case it results in a low level of earnings informativeness and earnings persistence.
This research investigated the effects of individual and contextual factors on the quality of internal audit moderated by emotional intelligence. The research was operationalized from a research instrument consisting of 39 questions, answered by 93 internal auditors from Federal Educational Institutions in Brazil. Descriptive statistics and Structural Equation Modeling were applied. Results showed that individual factors positively and significantly affect the quality of the audit. The work resources, although considered important, did not influence the quality of the audit, unlike the contextual factor of time budget pressure, which affects it positively and significantly. Regarding the moderation of emotional intelligence in individual factors and contextual factors, this was not supported. Thus, concerning the originality, research on the influence of emotional intelligence on the results of the work of the internal auditor is recent in the literatures, this study therefore, boosts the ex ante sources and also support the regulating bodies and practitioners. Finally, as a suggestion for future research, it is recommended that the studies reach the population not investigated in this study, being internal auditors from other sectors of the economy, external auditors or even auditors from the private sector.
This study looks at the effect of accounting flexibility on earnings quality in public companies listed on the Indonesia Stock Exchange during the period 2016 to 2019. This study uses two models to measure earnings quality, namely ERC and earnings persistence. The results showed that accounting flexibility, namely the limitations of companies to carry out accrual earnings management, can reduce earnings quality, as shown by the abnormal accrual model which shows a significant positive coefficient direction, and for the ERC model and earnings persistence which shows a negative and significant coefficient direction. The higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018). Theoretical contributions show that the higher the level of accrual earnings management up to a certain limit point, the more incentive company managers will have to increase accounting flexibility and switch to real earnings management (Xu and Yang, 2013; Masri, 2018; Purba, Surya, Joshi & Tiagy, 2023). The Implications of this research show that accounting flexibility is carried out when abnormal accruals reach the highest limit point reflected in accounting choices in net operating assets in the balance sheet, so in this case it results in a low level of earnings informativeness and earnings persistence.
We examine the value relevance of intangibles reported by technology firms in electronics industries and any regional difference between Southern and non-Southern firms in the relative importance of how value relevance is reported. For technology firms, the essential asset in their valuation is intellectual property, which idiosyncratic accounting practices could have either capitalized or expensed. We are interested in the intangible assets and goodwill on balance sheets and amortization expenses from income statements, which together capture the magnitude of a firm’s intellectual property. We present evidence that the market value of a firm is negatively associated with the size of its intangibles but positively associated with the size of goodwill and amortization expenses. We find that this relationship between the market value of a firm and measures of intangibles is statistically stronger for Southern firms than for non-Southern firms. We interpret this finding as a manifestation of stronger accounting conservatism among Southern firms due to regional cultural differences. We find that the value relevance of intangibles weakened significantly during the 2008 financial crisis, and we interpret the intertemporal difference as a spillover effect of the stringent application of the fair value accounting standard (SFAS 157) to financial assets.
The purpose of this study is to determine the simultaneous and partial effects of Company Age, Financial Distress, Independent Commissioners, Institutional Ownership, and Profitability on the Publication Speed of Financial Statements. The study population is companies listed on the Indonesian Stock Exchange between 2018-2020. It can draw the following conclusions from the findings: At the same time, Company Age, Financial Distress, Independent Commissioners, Institutional Ownership, and Profitability influence the speed at which financial statements are an issue. In some cases, it may appear that not all variables significantly affect the annual financial report issuance rate. Company Age, Financial Distress, Independent Commissioners, and Profitability affect the Publication Speed of Financial Statements, but Institutional Ownership does not. By considering the impact of Company Age, Financial Distress, Independent Commissioners, Institutional Ownership, and Profitability on the speed of issuing annual financial reports. These companies expect to release yearly financial statements as soon as possible so that they can optimize their performance to attract investors to invest.
This research investigated the effects of individual and contextual factors on the quality of internal audit moderated by emotional intelligence. The research was operationalized from a research instrument consisting of 39 questions, answered by 93 internal auditors from Federal Educational Institutions in Brazil. Descriptive statistics and Structural Equation Modeling were applied. Results showed that individual factors positively and significantly affect the quality of the audit. The work resources, although considered important, did not influence the quality of the audit, unlike the contextual factor of time budget pressure, which affects it positively and significantly. Regarding the moderation of emotional intelligence in individual factors and contextual factors, this was not supported. Thus, concerning the originality, research on the influence of emotional intelligence on the results of the work of the internal auditor is recent in the literatures, this study therefore, boosts the ex ante sources and also support the regulating bodies and practitioners. Finally, as a suggestion for future research, it is recommended that the studies reach the population not investigated in this study, being internal auditors from other sectors of the economy, external auditors or even auditors from the private sector.
The quality of earnings indicates the current or future capability of the company to support the decisions made by managing board and other stakeholders. This research have to goal to examine the determinant of earnings quality in Indonesia, including: IFRS convergence, accounting disclosures, and audit committees. Data were acquired from official website in period of 2016-2018 and number of data was 212 observation data. Method of analysis involved regression test and classical assumption test. Result of research showed that the audit committee had a positive effect on earnings quality, while the convergence of IFRS and accounting disclosure cannot affect earnings quality. Research model was tested using control variables, respectively leverage, liquidity and company size. The test found that leverage is the only control variable that affects earnings quality. Information in financial statements is not the most important information to investors. Audit committee and creditor contribution play more important role in decisions regarding earnings quality.
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 |