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, 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 00:49 UTC — 22 Oct 2026 01:20 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 28 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 79 | 4 | 4/4 | 4/4 |
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): 2026-10-21T00:49:32.522830+00:00 — 2026-10-22T01:20:22.443030+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 | 2 | 4 | 4/4 |
| 2021 | All selected publications | 1 | 4 | 4/4 |
| 2022 | All selected publications | 19 | 4 | 4/4 |
| 2023 | All selected publications | 25 | 4 | 4/4 |
| 2024 | All selected publications | 16 | 4 | 4/4 |
| 2025 | All selected publications | 9 | 4 | 4/4 |
| 2026 | All selected publications | 7 | 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 |
|---|---|
| 2020 | 4 |
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 Research in Business and Social Science SSBFNET | 4 | 28 | 79 | 4/4 | 7.0 | 5.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to empirically examine the impact of tax penalties, tax audits, and taxpayers’ awareness of corporate taxpayer compliance and the role of compliant intentions as the moderating variable in its correlation. The analytical method used is the Multiple Linear Regression (Multiple Regression Analysis) and the Moderated Regression Analysis (MRA). The population of this study is the corporate taxpayers in North Banjarmasin Tax Office in 2019 with a sample of 142 corporate rate taxpayers. The sampling method used is convenience sampling. The results show that tax penalties, tax audits, and taxpayers’ awareness positively affect corporate taxpayer compliance. However, the compliant intention is unable to moderate the effect of fines, tax audits, and taxpayers’ awareness toward corporate taxpayer compliance. This is due to the applied penalties and tax audits following the taxation laws and the corporate taxpayer’s awareness of the importance of taxation as the source of state income. The purposes of this research are to provide inputs and references for the tax authorities and taxpayers, to examine further about tax penalties and tax audits that have been implemented, and to raise awareness among taxpayers for complying with taxes. Then, this research is influenced by external factors and internal factors, namely penalty sanctions, tax audits, and awareness of taxpayers who make taxpayers compliant with taxes, so that the presence or absence of intentions will continue to make taxpayers obedient to taxes.
This study aims to empirically examine the effect of tax fairness and tax knowledge on tax compliance for Micro, Small and Medium Enterprises (MSMEs). Azmi and Perumal (2008) identified five of tax fairness dimensions: general fairness, exchanges with the government, special provisions, tax rates structure, and self-interest. Tax knowledge related to tax calculation, tax payment, and tax reporting. This study used a survey method by distributing the questionnaire. The sample used was Micro, Small and Medium Enterprises (MSMEs) in Malang city through the cluster random sampling method. The data obtained were 107 respondents who were processed with the help of SPSS 24. Two regression analyses used in this study are multiple linear regression analysis and simple linear regression analysis. The results of the study using multiple linear regression analysis showed that the three dimensions of tax fairness that affect MSMEs compliance are general fairness, tax rates structure, and self-interest. The results from the simple linear regression analysis show that tax knowledge influences MSMEs' compliance.
This research aims to examine the effect of psychology factors toward voluntary tax compliance on personal taxpayers who have a business (MSME) in Malang Raya. Kirchler, Hoelzl, & Wahl (2008) define voluntary tax compliance as the obedience based on the feeling of trust towards the tax authority. This feeling of trust towards tax authority can be created from the procedural justice obtained and felt by the taxpayers. Tax knowledge of taxpayers is also expected to strengthen the effect of perception of procedural justice towards voluntary tax compliance and the trust towards the tax authority. The researcher employed samples of personal taxpayers who have a business (MSME) in Malang Raya through a convenience sampling method. The samples of this research were 405 respondents and were analyzed by using the SEM-PLS method with WarpPLS 6.0. The research results show that procedural justice perception affects the trust towards the authority and voluntary tax compliance, the trust towards the authority also mediates the effect of procedural justice perception towards voluntary tax compliance, but tax knowledge is not proven of strengthening procedural justice perception towards the trust towards the authority and voluntary tax compliance. The result indicates that to increase tax compliance the authority must make sure the fair procedure according to taxpayers. The fair procedure will establish trust in the authority and make taxpayers easier to comply. Tax knowledge doesn’t make the effect stronger because taxpayers only judge to comply according to the easy and simple procedure of tax system
The purpose of this study was to determine whether there are differences in tax revenues, the number of taxpayers who pay, and submit tax reports before and after the tax volunteer program. The period before tax volunteers is in March 2018 - February 2019 and the period after tax volunteers is in March 2019 - March 2020. This research took place at the Pratama tax office in Badung Selatan. The data in this study were analyzed using an independent t-test. The results of this study indicate that there is no difference in the amount of tax revenue and the number of taxpayers who submit tax reports, but there are differences in the number of taxpayers who pay taxes before and after tax volunteers. The data contribution from research can be used as a basis for the Directorate General of Taxation to be able to evaluate the system that has been used and whether the presence of tax volunteers can also help in increasing taxpayer compliance. Also, it will become a reference for the Directorate General of Taxation in making decisions to make policy in the field of taxation, including creating another taxation system that will facilitate taxpayers in their tax obligations and expand the scope of tax volunteers in areas that have not been reached to date.
The purpose of this study was to determine whether there are differences in tax revenues, the number of taxpayers who pay, and submit tax reports before and after the tax volunteer program. The period before tax volunteers is in March 2018 - February 2019 and the period after tax volunteers is in March 2019 - March 2020. This research took place at the Pratama tax office in Badung Selatan. The data in this study were analyzed using an independent t-test. The results of this study indicate that there is no difference in the amount of tax revenue and the number of taxpayers who submit tax reports, but there are differences in the number of taxpayers who pay taxes before and after tax volunteers. The data contribution from research can be used as a basis for the Directorate General of Taxation to be able to evaluate the system that has been used and whether the presence of tax volunteers can also help in increasing taxpayer compliance. Also, it will become a reference for the Directorate General of Taxation in making decisions to make policy in the field of taxation, including creating another taxation system that will facilitate taxpayers in their tax obligations and expand the scope of tax volunteers in areas that have not been reached to date.
This research aims to examine the effect of psychology factors toward voluntary tax compliance on personal taxpayers who have a business (MSME) in Malang Raya. Kirchler, Hoelzl, & Wahl (2008) define voluntary tax compliance as the obedience based on the feeling of trust towards the tax authority. This feeling of trust towards tax authority can be created from the procedural justice obtained and felt by the taxpayers. Tax knowledge of taxpayers is also expected to strengthen the effect of perception of procedural justice towards voluntary tax compliance and the trust towards the tax authority. The researcher employed samples of personal taxpayers who have a business (MSME) in Malang Raya through a convenience sampling method. The samples of this research were 405 respondents and were analyzed by using the SEM-PLS method with WarpPLS 6.0. The research results show that procedural justice perception affects the trust towards the authority and voluntary tax compliance, the trust towards the authority also mediates the effect of procedural justice perception towards voluntary tax compliance, but tax knowledge is not proven of strengthening procedural justice perception towards the trust towards the authority and voluntary tax compliance. The result indicates that to increase tax compliance the authority must make sure the fair procedure according to taxpayers. The fair procedure will establish trust in the authority and make taxpayers easier to comply. Tax knowledge doesn’t make the effect stronger because taxpayers only judge to comply according to the easy and simple procedure of tax system
This study aims to empirically examine the impact of tax penalties, tax audits, and taxpayers’ awareness of corporate taxpayer compliance and the role of compliant intentions as the moderating variable in its correlation. The analytical method used is the Multiple Linear Regression (Multiple Regression Analysis) and the Moderated Regression Analysis (MRA). The population of this study is the corporate taxpayers in North Banjarmasin Tax Office in 2019 with a sample of 142 corporate rate taxpayers. The sampling method used is convenience sampling. The results show that tax penalties, tax audits, and taxpayers’ awareness positively affect corporate taxpayer compliance. However, the compliant intention is unable to moderate the effect of fines, tax audits, and taxpayers’ awareness toward corporate taxpayer compliance. This is due to the applied penalties and tax audits following the taxation laws and the corporate taxpayer’s awareness of the importance of taxation as the source of state income. The purposes of this research are to provide inputs and references for the tax authorities and taxpayers, to examine further about tax penalties and tax audits that have been implemented, and to raise awareness among taxpayers for complying with taxes. Then, this research is influenced by external factors and internal factors, namely penalty sanctions, tax audits, and awareness of taxpayers who make taxpayers compliant with taxes, so that the presence or absence of intentions will continue to make taxpayers obedient to taxes.
This study aims to empirically examine the effect of tax fairness and tax knowledge on tax compliance for Micro, Small and Medium Enterprises (MSMEs). Azmi and Perumal (2008) identified five of tax fairness dimensions: general fairness, exchanges with the government, special provisions, tax rates structure, and self-interest. Tax knowledge related to tax calculation, tax payment, and tax reporting. This study used a survey method by distributing the questionnaire. The sample used was Micro, Small and Medium Enterprises (MSMEs) in Malang city through the cluster random sampling method. The data obtained were 107 respondents who were processed with the help of SPSS 24. Two regression analyses used in this study are multiple linear regression analysis and simple linear regression analysis. The results of the study using multiple linear regression analysis showed that the three dimensions of tax fairness that affect MSMEs compliance are general fairness, tax rates structure, and self-interest. The results from the simple linear regression analysis show that tax knowledge influences MSMEs' compliance.
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |