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 07:22 UTC — 22 Oct 2026 11:54 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 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): 2026-10-21T07:22:44.523442+00:00 — 2026-10-22T11:54:28.461670+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 | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 2 | 4 | 4/4 |
| 2024 | All selected publications | 2 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2022 | 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 | 1 | 4 | 4/4 | 0.25 | 0.0 | 25.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
The main objective of this paper is analyzing the influence of islamic law on corruption perceptions and its impact on public trust in the city of Bandung, Indonesia. This research is located in Bandung with the research subject is the people of the city of Bandung who have an identity card. The sampling technique used in this study is non-probability sampling and the sample used is purposive sampling, namely the sample is selected by giving certain conditions to respondents who have met the sample criteria. The sample in this study was 100 people, then for the data analysis technique in this study using the SMART-PLS version 3 application software. The main finding is Islamic law and perceptions of corruption simultaneously affect public trust by 79.7%, the rest is influenced by variables that are not used in this study.
Indonesia's welfare state has not been realized to date because of many challenges, obstacles, or threats. One of the many challenges is illegal circulation (without a permit) and drug abuse, which is increasingly massive and systematic. Drug crimes have been carried out systematically, massively, and continue with the target of thousands and even tens of thousands of Indonesian people becoming users and dealers every year. As a result of drugs, every year, 15,000 young people in Indonesia die from drugs. Even the data from the National Narcotics Agency (BNN) shows 40-50 people per day die from drugs, and losses due to drugs reach Rp 63.1 trillion annually. This paper aims to build a critical approach to the function of BNN in preventing and eradicating drug criminal actions in Indonesia.
This paper aims to evaluate the regulation model for filing an action pauliana lawsuit by creditors to revoke the debtor’s legal actions prior to the declaration of bankruptcy. The research method used is normative juridical. The results show that the model for regulating the authority of creditors who wish to file an actio pauliana lawsuit against debtors in bankruptcy law can be done by making changes to Law Number 37 of 2004 concerning Bankruptcy by adding an article which regulates the procedural law of how a creditor can file a lawsuit. action pauliana in the following way: Creditors who acknowledge the existence of a Debtor's legal action, which is not required to be carried out within one year before the bankruptcy decision is pronounced, may submit an application to the Supervisory Judge by attaching valid evidence so that the Supervisory Judge will issue a ruling concerning the Debtor's legal action is in one year before the bankruptcy decision is pronounced, is not mandatory and shall be revoked.
For more than 75 years of enactment of the Dutch Criminal Code (KUHP), the legality principle contained in Article 1 Paragraph (1) of the Criminal Code is applied rigidly in Indonesia. This rigidity is now perfected with the model of the Judicial Pardon which can be imposed after examination and proof that leads to the conclusion that the defendant is legally and convincingly proven guilty of committing the crime charged by the Public Prosecutor. However, because there are several basic considerations as guidelines for sentencing, namely the lightness of the act, the personal circumstances of the perpetrator, the circumstances at the time of the commission of the crime, the aftermath, and incapacity that can be forgiven, as well as aspects of humanity and justice, grant judges the authority not to impose a crime or impose action against the defendant, so that the decision model perfects the principle of legality in modern sentencing, and is expected to solve the problem of the excess number of inmates from prisons. This research was conducted using the normative legal research (qualitative legal research) method by conducting a juridical study of data sources originating from the legal principles contained in the Criminal Code of several countries. This research is expected to find clearer arrangements and formulations of dictum decisions for fair legal certainty.
Indonesia's welfare state has not been realized to date because of many challenges, obstacles, or threats. One of the many challenges is illegal circulation (without a permit) and drug abuse, which is increasingly massive and systematic. Drug crimes have been carried out systematically, massively, and continue with the target of thousands and even tens of thousands of Indonesian people becoming users and dealers every year. As a result of drugs, every year, 15,000 young people in Indonesia die from drugs. Even the data from the National Narcotics Agency (BNN) shows 40-50 people per day die from drugs, and losses due to drugs reach Rp 63.1 trillion annually. This paper aims to build a critical approach to the function of BNN in preventing and eradicating drug criminal actions in Indonesia.
This paper aims to evaluate the regulation model for filing an action pauliana lawsuit by creditors to revoke the debtor’s legal actions prior to the declaration of bankruptcy. The research method used is normative juridical. The results show that the model for regulating the authority of creditors who wish to file an actio pauliana lawsuit against debtors in bankruptcy law can be done by making changes to Law Number 37 of 2004 concerning Bankruptcy by adding an article which regulates the procedural law of how a creditor can file a lawsuit. action pauliana in the following way: Creditors who acknowledge the existence of a Debtor's legal action, which is not required to be carried out within one year before the bankruptcy decision is pronounced, may submit an application to the Supervisory Judge by attaching valid evidence so that the Supervisory Judge will issue a ruling concerning the Debtor's legal action is in one year before the bankruptcy decision is pronounced, is not mandatory and shall be revoked.
The main objective of this paper is analyzing the influence of islamic law on corruption perceptions and its impact on public trust in the city of Bandung, Indonesia. This research is located in Bandung with the research subject is the people of the city of Bandung who have an identity card. The sampling technique used in this study is non-probability sampling and the sample used is purposive sampling, namely the sample is selected by giving certain conditions to respondents who have met the sample criteria. The sample in this study was 100 people, then for the data analysis technique in this study using the SMART-PLS version 3 application software. The main finding is Islamic law and perceptions of corruption simultaneously affect public trust by 79.7%, the rest is influenced by variables that are not used in this study.
For more than 75 years of enactment of the Dutch Criminal Code (KUHP), the legality principle contained in Article 1 Paragraph (1) of the Criminal Code is applied rigidly in Indonesia. This rigidity is now perfected with the model of the Judicial Pardon which can be imposed after examination and proof that leads to the conclusion that the defendant is legally and convincingly proven guilty of committing the crime charged by the Public Prosecutor. However, because there are several basic considerations as guidelines for sentencing, namely the lightness of the act, the personal circumstances of the perpetrator, the circumstances at the time of the commission of the crime, the aftermath, and incapacity that can be forgiven, as well as aspects of humanity and justice, grant judges the authority not to impose a crime or impose action against the defendant, so that the decision model perfects the principle of legality in modern sentencing, and is expected to solve the problem of the excess number of inmates from prisons. This research was conducted using the normative legal research (qualitative legal research) method by conducting a juridical study of data sources originating from the legal principles contained in the Criminal Code of several countries. This research is expected to find clearer arrangements and formulations of dictum decisions for fair legal certainty.
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 |