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 01:12 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 | 5 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 9 | 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): 2026-10-21T07:22:43.065674+00:00 — 2026-10-22T01:12:57.837511+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 | 5 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 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 | 5 | 9 | 4/4 | 1.25 | 1.0 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study examines the effect of some economic and non-economic factors on corruption. It tests a number of hypotheses formulated around the impact of specific dimensions on increasing or reducing corruption in the Middle East and North Africa Region over a time series from 2008 to 2018. The objective of this study is to illuminate the impact of several independent factors (average income, economic freedom, education, income distribution and globalization) on corruption increase or decrease in the MENA region taking a few countries as a sample case. To reach this end, secondary data is employed and retrieved from secondary sources using published reports and indexes and official websites and databases maintained by various research institutions. The results are tested using panel data regression analysis as a statistical tool for data analysis and hypotheses testing. Findings indicate a significant effect of the presented economic and non-economic determinants on corruption in these sample countries except income distribution which shows an insignificance effect.
The objective of the study was to explore alleged corrupt practices of stock theft by public sector officials in the selected rural areas of Giyani in the Limpopo Province, South Africa, focusing on causes and experiences. The local South African Police Service (SAPS) and Department of Justice and Constitutional Development: Giyani Magistrates’ Court (DOJ & CD: GMC) officials are allegedly touted to be allegedly involved in corrupt and fraudulent activities relating to this crime. From a qualitative standpoint; this study purposively selected 64 participants to form part of Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs) for data collection based on their respective knowledge and exposure to this crime. The collected data was analyzed to reach structured, reliable and conclusions adopting the Tesch technique. Major findings of this study indicate that the local SAPS and DoJ & CD: GMC were implicated in corruption acts, it is established that limited wages, greediness, profit and power, opportunity, as well as inadequate training, poor hiring practices and failure to adhere to a code of ethics are some of the notable causes of police corruption on stock theft cases. The improvement in legislation, punitive methods, remunerations, political partisanship, and the use of anti-corrupt strategies are cited as some recommendations in this study. Moreover, relevant stakeholders should work closely with provincial structures at rural communal levels, while avoiding a silo mentality to enhance collective actions thereof.
This paper examines the impact of the transparency stage and overseas refund investment inflows at the human improvement index. This paper aims to explore the mediating effect of the economic boom at the impact of transparency ranges and foreign direct funding inflows at the human improvement index. This research was carried out in 9 countries in Southeast Asia with a research length from 2012 to 2019. The facts analysis system changed into done the usage of course evaluation. The outcomes indicate that the transparency stage and overseas direct investment have a tremendous influence on economic growth and the human improvement index. Economic growth turned into additionally located to impact the human development index significantly. Therefore, monetary expansion is verified to mediate the transparency stage effect on the human development index. But the economic increase isn't always proven to have a mediating effect on the impact of foreign direct funding at the human improvement index. Therefore, based totally on the outcomes of this examination, the authorities of each use in Southeast Asia need to create a transparent government to increase economic increase and human improvement index. Further, outside investment needs to be recommended to make an excellent monetary boom and human development index.
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.
This study examines the effect of some economic and non-economic factors on corruption. It tests a number of hypotheses formulated around the impact of specific dimensions on increasing or reducing corruption in the Middle East and North Africa Region over a time series from 2008 to 2018. The objective of this study is to illuminate the impact of several independent factors (average income, economic freedom, education, income distribution and globalization) on corruption increase or decrease in the MENA region taking a few countries as a sample case. To reach this end, secondary data is employed and retrieved from secondary sources using published reports and indexes and official websites and databases maintained by various research institutions. The results are tested using panel data regression analysis as a statistical tool for data analysis and hypotheses testing. Findings indicate a significant effect of the presented economic and non-economic determinants on corruption in these sample countries except income distribution which shows an insignificance effect.
The objective of the study was to explore alleged corrupt practices of stock theft by public sector officials in the selected rural areas of Giyani in the Limpopo Province, South Africa, focusing on causes and experiences. The local South African Police Service (SAPS) and Department of Justice and Constitutional Development: Giyani Magistrates’ Court (DOJ & CD: GMC) officials are allegedly touted to be allegedly involved in corrupt and fraudulent activities relating to this crime. From a qualitative standpoint; this study purposively selected 64 participants to form part of Focus Group Discussions (FGDs) and Key Informant Interviews (KIIs) for data collection based on their respective knowledge and exposure to this crime. The collected data was analyzed to reach structured, reliable and conclusions adopting the Tesch technique. Major findings of this study indicate that the local SAPS and DoJ & CD: GMC were implicated in corruption acts, it is established that limited wages, greediness, profit and power, opportunity, as well as inadequate training, poor hiring practices and failure to adhere to a code of ethics are some of the notable causes of police corruption on stock theft cases. The improvement in legislation, punitive methods, remunerations, political partisanship, and the use of anti-corrupt strategies are cited as some recommendations in this study. Moreover, relevant stakeholders should work closely with provincial structures at rural communal levels, while avoiding a silo mentality to enhance collective actions thereof.
This paper examines the impact of the transparency stage and overseas refund investment inflows at the human improvement index. This paper aims to explore the mediating effect of the economic boom at the impact of transparency ranges and foreign direct funding inflows at the human improvement index. This research was carried out in 9 countries in Southeast Asia with a research length from 2012 to 2019. The facts analysis system changed into done the usage of course evaluation. The outcomes indicate that the transparency stage and overseas direct investment have a tremendous influence on economic growth and the human improvement index. Economic growth turned into additionally located to impact the human development index significantly. Therefore, monetary expansion is verified to mediate the transparency stage effect on the human development index. But the economic increase isn't always proven to have a mediating effect on the impact of foreign direct funding at the human improvement index. Therefore, based totally on the outcomes of this examination, the authorities of each use in Southeast Asia need to create a transparent government to increase economic increase and human improvement index. Further, outside investment needs to be recommended to make an excellent monetary boom and human development index.
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.
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 |