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: 22 / 22 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 06:56 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.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 selected publications.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 selected publications.
22 / 22 with data · 0 missing or unmatched. Percentages use all 22 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 | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 9 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 | 6 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 7 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 21 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2017 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 19 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 13 | 3 | 3/3 | 3/3 |
| 2021 | All selected publications | 14 | 4 | 4/4 | 4/4 |
| 2022 | All selected publications | 49 | 9 | 9/9 | 9/9 |
| 2023 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 4 | 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 22 / 22 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): 2026-10-21T07:22:43.114874+00:00 — 2026-10-23T06:56:17.157209+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 | 22 | 22/22 |
| 2018 | All selected publications | 0 | 22 | 22/22 |
| 2019 | All selected publications | 0 | 22 | 22/22 |
| 2020 | All selected publications | 3 | 22 | 22/22 |
| 2021 | All selected publications | 3 | 22 | 22/22 |
| 2022 | All selected publications | 12 | 22 | 22/22 |
| 2023 | All selected publications | 28 | 22 | 22/22 |
| 2024 | All selected publications | 32 | 22 | 22/22 |
| 2025 | All selected publications | 19 | 22 | 22/22 |
| 2026 | All selected publications | 7 | 22 | 22/22 |
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 |
| 2019 | 1 |
| 2020 | 3 |
| 2021 | 4 |
| 2022 | 9 |
| 2023 | 2 |
| 2024 | 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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 1 | 0 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 3 | 3 | 12 | 3/3 | 1.0 | 0 | 33.3 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 18 | 39 | 92 | 18/18 | 2.17 | 1.0 | 72.2 | 18/18 · 100.0% |
* Percentage among publications with a known citation count.
Fraudulent financial statements often occur in several companies, however, efforts to detect the beginning of fraud have not been fully implemented. The purpose of this study is to determine the role of forensic accounting in the diamond model relationship to detect financial statement fraud. This research employs pressure, opportunity, rationalization, and capability in the perspective of fraud diamond, and technology audit as forensic accounting indicators. Samples used in this study are 42 bank companies listed on Indonesia Stock Exchange (IDX) during the period 2016-2019. The sample is determined by using the purposive sampling method. Analysis of data is carried out using the MRA-SPSS program. The result showed that Pressure and Rationalization affect financial statement fraud. Forensic accounting is a moderating variable between pressure and financial statement fraud, rationalization, and financial statement fraud.
Using Attribution Theory, this study aims to examine several predictor variables such as independence, objectivity, professional skepticism, and the ability and experience of investigative auditors that potentially affect the effectiveness of audit procedures in revealing fraud. This research involved a total of 120 auditors consisting of auditors of the Supreme Audit Agency of the Republic of Indonesia (BPK) and auditors of the Indonesian Financial and Development Supervisory Agency (BPKP) representatives of the Special Region of Yogyakarta Indonesia as the research sample. The regression analysis revealed that the professional skepticism, the ability, and the experience of the investigative auditors had a significantly positive effect on the effectiveness of audit procedures in revealing fraud. The results serve as a material consideration for government auditing agencies, such as the BPK and BPKP to increase their effectiveness in implementing audit procedures using various means, such as through sustainable training and education programs as well as by increasing professional skepticism in conducting audits.
This study was aimed to prove the research hypothesis that there are effects of financial ratios, which consist of profitability, leverage, and liquidity on the financial statements fraud risk, and the quality of auditors are able to moderate the relationship between financial ratios to financial statements fraud. This study uses a population of manufacturing companies that publish their financial statements on the Indonesian Stock Exchange in 2016-2017 will also be summarized and inferred. This study uses purposive sampling so that the study sample amounted to 275 firm years. The dependent variable uses the financial statements fraud risk with the proxy Dechow F-score. The independent variable in this study consisted of profitability with ROA ratio, leverage using the calculation of the ratio of total liabilities to total assets, and liquidity using the calculation of the ratio of total current assets to current liabilities. The moderating variable in this study is auditor quality as a moderating variable with a dummy variable. The Hypothesis test conducted is using moderated regression analysis (MRA). The results of this study indicate that the financial statements fraud risk is influenced by financial liquidity ratios, while financial ratios of profitability and leverage have not been proven to affect financial report fraud. This study provides a contribution by providing evidence that the quality of auditors can suppress fraudulent actions on financial statements with low profitability. This research provides information to regulators to pay more attention to companies that experience liquidity problems, and become input for regulators to make rules that improve the quality of auditors.
The purpose of this study is to see whether there is an effect of the implementation of good corporate governance, firm size, and financial performance on firm value. And the results are known if the implementation of good corporate governance has a positive effect on firm value which indicates that the implementation of good corporate governance in Indonesia has a good impact on the development of firm value, in contrast to firm size and financial performance which have a negative effect on firm value, which is known if assets and profits are high. compared best with low firm value, and vice versa. On the one hand, financial performance can be an intervention variable for good corporate governance and firm size on firm value in a positive direction, which means that if firm profits can have an influence on the relationship between firm size and good corporate governance, the firm value will increase. From these objectives and results, it is recommended for further researchers to explore the indicators that exist in each member to find out valid findings by reviewing various aspects.
This study aims to resolve the inconsistencies in prior research regarding the effects of capital structure, firm size, and good corporate governance (GCG) on company value. Additionally, it investigates the moderating role of corporate social responsibility (CSR) in the relationship between financial performance and company value, offering new insights into this dynamic interaction. This study utilizes a saturated sample or census approach, including all population members, due to the small population size and the researcher's ability to access the required data. Data from 71 manufacturing companies listed on the Indonesia Stock Exchange (IDX) between 2018 and 2022 were obtained from their financial statements and annual reports. A quantitative analysis was conducted using Partial Least Square (PLS) regression with the SmartPLS 4.0 software. The results indicate that capital structure, company size, and GCG significantly impact financial performance. Additionally, capital structure was found to significantly affect company value, while company size and GCG did not. Financial performance significantly influenced company value, but CSR did not directly affect company value and did not moderate the relationship between financial performance and company value.
This study aims to resolve the inconsistencies in prior research regarding the effects of capital structure, firm size, and good corporate governance (GCG) on company value. Additionally, it investigates the moderating role of corporate social responsibility (CSR) in the relationship between financial performance and company value, offering new insights into this dynamic interaction. This study utilizes a saturated sample or census approach, including all population members, due to the small population size and the researcher's ability to access the required data. Data from 71 manufacturing companies listed on the Indonesia Stock Exchange (IDX) between 2018 and 2022 were obtained from their financial statements and annual reports. A quantitative analysis was conducted using Partial Least Square (PLS) regression with the SmartPLS 4.0 software. The results indicate that capital structure, company size, and GCG significantly impact financial performance. Additionally, capital structure was found to significantly affect company value, while company size and GCG did not. Financial performance significantly influenced company value, but CSR did not directly affect company value and did not moderate the relationship between financial performance and company value.
This study aims to explain the practice of fraud prevention by internal auditors of the local government of Malang City. The research method used is critical ethnomethodology in the local government environment of Malang City. Seven informants served as key informants. The results showed that the internal auditors of the local government of Malang City have not been able to carry out their role optimally, due to the weak legitimacy of internal auditors, community involvement in fraud prevention programs, and partial fraud prevention activities. As a result, the research findings provide an overview of the regional inspectorate's institutional integration with elements authorized to handle fraud cases, such as BPKP and BPK. The findings of this study suggest that the Malang City Inspectorate should gain legitimacy through regulations, government support, and effective and efficient consultation to identify and prevent fraud.
This study aims to reveal the practice of internal control over financial reporting (PIPK) at the Supreme Court of the Republic of Indonesia in 2019-2021. This research is a type of qualitative research using an interpretive perspective with an ethnomethodological method. The data in this study are primary and secondary data and data collection techniques using observation, interviews, and documentation. Informants in this study were seven informants. The selection of this informant was based on capacity in the practice of internal control over financial reporting (PIPK) at the Supreme Court of the Republic of Indonesia. The results of the study stated that (1) Internal Control over the Financial Reporting of the Supreme Court of the Republic of Indonesia is still not optimal because the understanding of SPIP in general and PIPK in particular is not sufficient, (2) The role of the second line of management at the Supreme Court has not run adequately because it is still ad-hoc so that it is not well organized, and (3) the Assessment of Internal Control over the Financial Reporting of the Supreme Court has not been carried out in a systematic and structured so that it has not been able to fully support the achievement of the objectives of implementing the PIPK, namely to provide adequate assurance that the Financial Statements are prepared with the implementation of adequate internal controls.
This paper aims to determine the effect of professional skepticism, auditor experience and auditor competence on fraud detection. The population of this research is auditors who work at Public Accounting Firms (KAP) in Central and South Jakarta. This paper used purposive sampling technique and obtained 60 questionnaires from auditors as respondents. This paper is using quantitative research and the data are analyzed using Multiple Linear Regression Analysis with significance level of 5% (0.05). The results of this paper showed that professional skepticism and auditor competence had a significant and positive effect on fraud detection. Meanwhile, the experience of the auditor has no effect on fraud detection.
This study examines the effect of tax incentives and corporate voluntary disclosure related to covid-19 on interim reports on firm value. This study tested the two independent variables using the dummy variable method. The provision of tax incentives related to Covid-19 is based on government policy. The company's voluntary disclosure of covid-19 in interim reports is based on notes to financial statements. The method used is purposive sampling. The number of samples obtained was 114 companies selected according to the research criteria in the 1st and 2nd quarter 2020 periods. This study used multiple regression analysis and panel data. The results show that the variable giving tax incentives related to Covid-19 negatively and significantly affects firm value. Meanwhile, the variable company voluntary disclosure related to covid-19 in the interim report shows unidirectional results, but has no effect on firm value.
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 |