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: 3 / 3 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 — 21 Oct 2026 00:49 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 5 | 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 3 / 3 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): 2026-10-21T00:49:32.558051+00:00 — 2026-10-21T00:49:37.647166+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 1 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 1 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 | 1 |
| 2021 | 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 Research in Business and Social Science SSBFNET | 3 | 2 | 5 | 3/3 | 0.67 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study purposes to determine the impact of risks of investment on stock returns of the agricultural sector in wetlands listed on the IDX for the period 2016-2019. This study uses secondary data while the analysis tool uses multiple linear regression (SPSS 21). The research population is 21 companies and the sample is 17 companies. The research sampling technique uses purposive sampling. The object of research is the agricultural sector which is listed on the Indonesia Stock Exchange for the period 2016 to 2019. This study also uses some classical assumptions. Testing the research hypothesis was done by t-test (partial test) and the coefficient of determination test. The results of the study are that 2 independent variables have a significant effect, namely interest rate risk (X1) in a positive direction and exchange risk in a negative direction, while liquidity risk and inflation risk have no significant effect with negative and positive directions on stock returns of the agricultural sector listed on the IDX for the period 2016-2019. The result of the research determination coefficient is 15.1%.
The purpose of this research is to study and analyze the characteristics of dispute resolution in a wetland environment through the integration of environmental aspects, culture and empowerment of rural communities. A life that is safe, orderly and peaceful, is the life of human society so that every dispute needs to be resolved. In fact, the principle of justice is simple, fast and low cost for most people. This research method uses a socio-juridical (socio-legal) approach using an interdisciplinary or "hybrid" approach between aspects of normative legal research with a sociological approach using qualitative analysis. The results show that through the settlement of disputes based on deliberation to reach consensus (badamai) based on local wisdom that grows and develops in communities in wetland areas, it is hoped that it will be able to expand access to justice in rural communities and reduce the burden of cases on formal channels. This requires a forum as an institution that facilitates the settlement of disputes outside the court at the village level.
The purpose of this study is to explain the concept of a child witness according to the criminal evidence proving law, and how the protection for children as a witness, as well as how the strength of evidence of child testimony in the criminal justice system. This research is normative legal research that focuses on secondary data by describing the execution of religious courts in regulating child custody cases. The type of data used is the type of primary data and secondary data. Analysis of the data used is a qualitative way with the legislation approach, case approach, and analysis approach. The results showed that the concept of a child's Witness does not qualify as valid witness evidence. Children as Witnesses are entitled to receive legal protection as regulated in the Child Protection Act and the Criminal Justice System for Children and the Witness and Victim Protection Act. The strength of proof of a child's testimony only has value if it is connected with other evidence.
This study purposes to determine the impact of risks of investment on stock returns of the agricultural sector in wetlands listed on the IDX for the period 2016-2019. This study uses secondary data while the analysis tool uses multiple linear regression (SPSS 21). The research population is 21 companies and the sample is 17 companies. The research sampling technique uses purposive sampling. The object of research is the agricultural sector which is listed on the Indonesia Stock Exchange for the period 2016 to 2019. This study also uses some classical assumptions. Testing the research hypothesis was done by t-test (partial test) and the coefficient of determination test. The results of the study are that 2 independent variables have a significant effect, namely interest rate risk (X1) in a positive direction and exchange risk in a negative direction, while liquidity risk and inflation risk have no significant effect with negative and positive directions on stock returns of the agricultural sector listed on the IDX for the period 2016-2019. The result of the research determination coefficient is 15.1%.
The purpose of this research is to study and analyze the characteristics of dispute resolution in a wetland environment through the integration of environmental aspects, culture and empowerment of rural communities. A life that is safe, orderly and peaceful, is the life of human society so that every dispute needs to be resolved. In fact, the principle of justice is simple, fast and low cost for most people. This research method uses a socio-juridical (socio-legal) approach using an interdisciplinary or "hybrid" approach between aspects of normative legal research with a sociological approach using qualitative analysis. The results show that through the settlement of disputes based on deliberation to reach consensus (badamai) based on local wisdom that grows and develops in communities in wetland areas, it is hoped that it will be able to expand access to justice in rural communities and reduce the burden of cases on formal channels. This requires a forum as an institution that facilitates the settlement of disputes outside the court at the village level.
The purpose of this study is to explain the concept of a child witness according to the criminal evidence proving law, and how the protection for children as a witness, as well as how the strength of evidence of child testimony in the criminal justice system. This research is normative legal research that focuses on secondary data by describing the execution of religious courts in regulating child custody cases. The type of data used is the type of primary data and secondary data. Analysis of the data used is a qualitative way with the legislation approach, case approach, and analysis approach. The results showed that the concept of a child's Witness does not qualify as valid witness evidence. Children as Witnesses are entitled to receive legal protection as regulated in the Child Protection Act and the Criminal Justice System for Children and the Witness and Victim Protection Act. The strength of proof of a child's testimony only has value if it is connected with other evidence.
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 |