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: 5 / 5 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 — 27 Oct 2026 17:23 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 |
|---|---|---|---|---|---|
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
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 5 / 5 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): 2026-10-21T07:22:46.733212+00:00 — 2026-10-27T17:23:51.990347+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 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 2 | 5 | 5/5 |
| 2025 | All selected publications | 1 | 5 | 5/5 |
| 2026 | All selected publications | 4 | 5 | 5/5 |
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 |
|---|---|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 3 |
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 | 2 | 2 | 1/1 | 2.0 | 2 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 4 | 4 | 5 | 4/4 | 1.0 | 1.0 | 75.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This article examines municipalities on implementation and coordination of social crime prevention programmes in addressing social issues. The White Paper on Safety and Security (1998) clearly proposed that local government should be responsible for implementing and coordinating social crime prevention programmes within areas of concern. Therefore, it is argued that the provincial government is closest to citizens and inimitably placed to contribute to social crime prevention initiatives and readdress the delivery of services to deal with crime prevention successfully. There is little information about this matter in South Africa. This article will reveal the challenges municipalities and the department of social development face on social issues. There seems to be a repetition of social programmes in addressing social issues and there are no programmes targeting youth at risk, juvenile delinquency and child-headed households’ issues. The study concludes that the municipalities should consider the review in social crime prevention strategies to better align its programmes to the provincial mandates. Municipalities should further demonstrate regularly how it responds to social issues that might perpetuate the crime rate.
Unemployment and crime are complex socio-economic problem in South Africa that attracts excessive attention from researchers because they are crucial issues worldwide. Since 1990, unemployment has been a problem, and this escalated after the end of apartheid. This occurred due to South Africa’s economic struggles with low growth. Long-term unemployment is linked to frustration, alienation, and breakdowns in social cohesion, primary in poorer communities. This social strain fosters criminal behaviour largely because such individuals exert power or generate much-needed cash from these illegal activities. By virtue of the lack of formal avenues of employment, these people are thus easily recruited through criminal networks or gangs that offer money and social identity for illegal activities. This study aims to evaluate and analyse the impact of unemployment in instigating crime in South Africa. The problem the researcher is addressing results from the alarming increase in youth unemployment and its assumed link to criminal activities, especially in underdeveloped or rural areas in South Africa. The study adopted a mixed research methods approach. A purposive sampling and cluster sampling were used to select participants. The researchers used semi-structured interviews and questionnaires to collect data. Qualitative data was analysed using thematic analysis and quantitative data was analysed using Statistical Package for Social Sciences (SPSS). It is envisaged that findings of this study may be used in the design and implementation of strategies and programmes to reduce unemployment and crime in South Africa. Further, the researcher makes some recommendations pertaining to addressing and reducing the high rate of youth unemployment and crime.
Recent research has shown that youth offending remains a critical issue in South Africa, with far-reaching consequences for individuals, families, and society. This study critically examines the psychological and socioeconomic factors that contribute to youth offending, offering a comprehensive and integrated analysis rooted in the South African context. Drawing from a qualitative desktop research approach, the study utilized secondary data including scholarly articles, government reports, and organizational publications. The findings reveal that adverse childhood experiences (ACEs), mental health challenges, exposure to trauma, poverty, educational disparities, family dysfunction, and unemployment are key contributors to youth offending. The analysis underscores the interconnectedness of psychological and socioeconomic variables, suggesting that youth offending cannot be understood or addressed in isolation. Instead, a multidimensional approach is necessary, one that recognizes both internal psychological vulnerabilities and external social and economic stressors. Based on the findings, the study recommends trauma-informed mental health interventions, educational and vocational support, poverty alleviation strategies, and community and family-based programs. These recommendations aim to inform holistic and evidence-based policies that can reduce youth crime and support positive youth development. The study contributes to existing criminological literature by bridging theoretical frameworks with practical, policy-oriented solutions relevant to South Africa's unique challenges.
Crime in high schools has become a major concern all over the world. High schools in Nzhelele East Circuit, Vhembe District, Limpopo Province, South Africa also experience waves of youth crime perpetrated by learners. The aim of this study was to explore family factors which contribute to youth crime amongst learners in high schools in Nzhelele East Circuit. Three high schools (i.e. Mushaathoni, Nndweleni and Mphephu) known for high rate of crime were selected. Quantitative research approach was used. Survey questionnaires were administered among learners in order to collect quantitative data. Stratified random sampling was used to survey 40 grade 10 and 40 grade 11 learners from each of the three high schools. In total, 240 learners participated in this study. Data was analyzed using the SPSS instrument. Appropriate ethical principals were applied to ensure that research participants were not harmed. The study found that youth crime in high schools was attributed to family factors such as absence of parents, poor parenting style, abuse and domestic violence, poverty, divorce, single parenting and family size. The study recommended the need for a multi-pronged strategy through mobilization of relevant stakeholders (families, community leaders, education authorities, law enforcement agencies and other relevant government department to curb youth crime in high schools. Key words: Crime, Learners, Bullying; Offenders; Victims; Violence; Youth crime, High school
This study investigates the extent of local government involvement in crime prevention within the MDM district. A total of 338 questionnaires were distributed to community members, and 10 semi-structured interviews were conducted with municipal officials, SAPS social crime prevention personnel, and the District Coordinator from the Department of Transport and Community Safety. A mixed-method research design was adopted to integrate both qualitative and quantitative approaches, thereby addressing the limitations of each and enhancing the overall depth and reliability of the findings. Purposive and simple random sampling techniques were employed to ensure a representative and targeted participant selection. The research explores existing crime prevention strategies, the challenges faced, and the nature of collaboration between the SAPS and local government. Ethical principles, including informed consent, confidentiality, and anonymity, were strictly observed. In addition to its empirical contributions, this study serves as a practical reference for students seeking to understand the application of mixed-method research in local government and crime prevention.
This study investigates the extent of local government involvement in crime prevention within the MDM district. A total of 338 questionnaires were distributed to community members, and 10 semi-structured interviews were conducted with municipal officials, SAPS social crime prevention personnel, and the District Coordinator from the Department of Transport and Community Safety. A mixed-method research design was adopted to integrate both qualitative and quantitative approaches, thereby addressing the limitations of each and enhancing the overall depth and reliability of the findings. Purposive and simple random sampling techniques were employed to ensure a representative and targeted participant selection. The research explores existing crime prevention strategies, the challenges faced, and the nature of collaboration between the SAPS and local government. Ethical principles, including informed consent, confidentiality, and anonymity, were strictly observed. In addition to its empirical contributions, this study serves as a practical reference for students seeking to understand the application of mixed-method research in local government and crime prevention.
Recent research has shown that youth offending remains a critical issue in South Africa, with far-reaching consequences for individuals, families, and society. This study critically examines the psychological and socioeconomic factors that contribute to youth offending, offering a comprehensive and integrated analysis rooted in the South African context. Drawing from a qualitative desktop research approach, the study utilized secondary data including scholarly articles, government reports, and organizational publications. The findings reveal that adverse childhood experiences (ACEs), mental health challenges, exposure to trauma, poverty, educational disparities, family dysfunction, and unemployment are key contributors to youth offending. The analysis underscores the interconnectedness of psychological and socioeconomic variables, suggesting that youth offending cannot be understood or addressed in isolation. Instead, a multidimensional approach is necessary, one that recognizes both internal psychological vulnerabilities and external social and economic stressors. Based on the findings, the study recommends trauma-informed mental health interventions, educational and vocational support, poverty alleviation strategies, and community and family-based programs. These recommendations aim to inform holistic and evidence-based policies that can reduce youth crime and support positive youth development. The study contributes to existing criminological literature by bridging theoretical frameworks with practical, policy-oriented solutions relevant to South Africa's unique challenges.
Unemployment and crime are complex socio-economic problem in South Africa that attracts excessive attention from researchers because they are crucial issues worldwide. Since 1990, unemployment has been a problem, and this escalated after the end of apartheid. This occurred due to South Africa’s economic struggles with low growth. Long-term unemployment is linked to frustration, alienation, and breakdowns in social cohesion, primary in poorer communities. This social strain fosters criminal behaviour largely because such individuals exert power or generate much-needed cash from these illegal activities. By virtue of the lack of formal avenues of employment, these people are thus easily recruited through criminal networks or gangs that offer money and social identity for illegal activities. This study aims to evaluate and analyse the impact of unemployment in instigating crime in South Africa. The problem the researcher is addressing results from the alarming increase in youth unemployment and its assumed link to criminal activities, especially in underdeveloped or rural areas in South Africa. The study adopted a mixed research methods approach. A purposive sampling and cluster sampling were used to select participants. The researchers used semi-structured interviews and questionnaires to collect data. Qualitative data was analysed using thematic analysis and quantitative data was analysed using Statistical Package for Social Sciences (SPSS). It is envisaged that findings of this study may be used in the design and implementation of strategies and programmes to reduce unemployment and crime in South Africa. Further, the researcher makes some recommendations pertaining to addressing and reducing the high rate of youth unemployment and crime.
Crime in high schools has become a major concern all over the world. High schools in Nzhelele East Circuit, Vhembe District, Limpopo Province, South Africa also experience waves of youth crime perpetrated by learners. The aim of this study was to explore family factors which contribute to youth crime amongst learners in high schools in Nzhelele East Circuit. Three high schools (i.e. Mushaathoni, Nndweleni and Mphephu) known for high rate of crime were selected. Quantitative research approach was used. Survey questionnaires were administered among learners in order to collect quantitative data. Stratified random sampling was used to survey 40 grade 10 and 40 grade 11 learners from each of the three high schools. In total, 240 learners participated in this study. Data was analyzed using the SPSS instrument. Appropriate ethical principals were applied to ensure that research participants were not harmed. The study found that youth crime in high schools was attributed to family factors such as absence of parents, poor parenting style, abuse and domestic violence, poverty, divorce, single parenting and family size. The study recommended the need for a multi-pronged strategy through mobilization of relevant stakeholders (families, community leaders, education authorities, law enforcement agencies and other relevant government department to curb youth crime in high schools. Key words: Crime, Learners, Bullying; Offenders; Victims; Violence; Youth crime, High school
This article examines municipalities on implementation and coordination of social crime prevention programmes in addressing social issues. The White Paper on Safety and Security (1998) clearly proposed that local government should be responsible for implementing and coordinating social crime prevention programmes within areas of concern. Therefore, it is argued that the provincial government is closest to citizens and inimitably placed to contribute to social crime prevention initiatives and readdress the delivery of services to deal with crime prevention successfully. There is little information about this matter in South Africa. This article will reveal the challenges municipalities and the department of social development face on social issues. There seems to be a repetition of social programmes in addressing social issues and there are no programmes targeting youth at risk, juvenile delinquency and child-headed households’ issues. The study concludes that the municipalities should consider the review in social crime prevention strategies to better align its programmes to the provincial mandates. Municipalities should further demonstrate regularly how it responds to social issues that might perpetuate the crime rate.
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 |