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: 17 / 17 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 00:14 UTC — 21 Oct 2026 07:23 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.
16 / 17 with data · 1 missing or unmatched. Percentages use all 17 selected publications.
16 / 17 with data · 1 missing or unmatched. Percentages use all 17 selected publications.
17 / 17 with data · 0 missing or unmatched. Percentages use all 17 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 | 3 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 5 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 8 | 3 | 3/3 | 3/3 |
| 2023 | All selected publications | 5 | 3 | 3/3 | 3/3 |
| 2024 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2025 | All selected publications | 5 | 7 | 7/7 | 7/7 |
| 2026 | All selected publications | 0 | 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 17 / 17 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): 2026-10-21T00:14:32.193613+00:00 — 2026-10-21T07:23:06.704609+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 | 17 | 17/17 |
| 2018 | All selected publications | 0 | 17 | 17/17 |
| 2019 | All selected publications | 0 | 17 | 17/17 |
| 2020 | All selected publications | 0 | 17 | 17/17 |
| 2021 | All selected publications | 0 | 17 | 17/17 |
| 2022 | All selected publications | 1 | 17 | 17/17 |
| 2023 | All selected publications | 2 | 17 | 17/17 |
| 2024 | All selected publications | 7 | 17 | 17/17 |
| 2025 | All selected publications | 6 | 17 | 17/17 |
| 2026 | All selected publications | 5 | 17 | 17/17 |
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 | 3 |
| 2023 | 3 |
| 2024 | 2 |
| 2025 | 7 |
| 2026 | 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 Business Ecosystem & Strategy Bussecon International Academy | 3 | 3 | 3 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 14 | 12 | 18 | 14/14 | 0.86 | 1.0 | 64.3 | 14/14 · 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.
The motorcycle taxi business is increasingly becoming one of the key livelihood strategies in the urban settings of Sub-Saharan Africa. However, crime against operators is threatening the subsector and jeopardizes the livelihood of motorcycle riders. This study examines urban crime and its implications on the livelihoods of motorcycle taxi riders in Dar es Salaam Tanzania in a bid to recommend strategies for alleviating the looming crime. Based on the qualitative design, data were collected using in-depth interviews, focus group discussion and indirect observations with a sample of 100 motorcycle taxi-riders. Thematic data analysis was employed based on the five themes [aka assets] pre-determined from the sustainable livelihood framework namely natural, physical, human, social and financial assets. Findings show that crime has negatively impacted the motorcycle taxi riders’ livelihoods through erosion of the livelihood assets. Accordingly, in order to alleviate the crime, relevant authorities should devise a well-defined mechanism of sharing crime information, use of technology such as the GPRS system and security cameras around the city, ensure the availability of the police and prompt response to crime incidence through night security patrols and sharing reliable contacts, provision of security and crime education and awareness to the riders. Others are ensuring an effective, communication system between and among the motorcycle riders e.g. through phones, WhatsApp groups, and other social media, and use of ID cards by the riders for easy identification and traceability whenever they fall victims of crime.
Despite official crime figures showing a continuous decline in the rate of crime, the perception of the high level of crime by many Malaysians suggests other factors are affecting their perception of safety from crime. The objective of this study is to identify and understand these factors through a qualitative study that employs online focus group discussions. This study argues that the perception of safety from crime is the result of interactions of a number of factors such as the experience of victimisation, crime information, neighbourhood conditions as well as the perception of law enforcement and government crime reduction policy. The sense of safety from crime is also contextual as it may fluctuate according to time, place, activities and situations. Analysis of the data from the focus group discussions found that participants generally have a high perception of safety from crime. However, participants felt less safe when they were in public places and when interacting with online services. In most circumstances, participants' sense of safety is affected by the pressure to be vigilant and to avoid criminal victimisation. This pressure is exacerbated by low-quality information on crime that is often received through social media. Crime information on social media has a significant impact on participants’ perceptions of crime. The overall analysis of the findings suggests that the most important factor which affects the perception of safety from crime among these selected Malaysians is their sense of safety in their homes and their neighbourhood. Hence, efforts to increase the sense of safety among Malaysians should focus on this context.
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.
The article describes the use of the Geographical information system as a technique in the processing of crime data to combat crime. In this process the crime data must be valid to ensure the smoother crime mapping. Crime data such as place where crime committed, modus operandi, crime spree and crime pattern would be inserted and analysed in the usage of the GIS technology by the police at the station level. The study employed a qualitative research approach to investigate the trend. The research deployed non empirical study where literature was used to answer the research question. The purpose of the article is to interrogate the challenges in the use of GIS as a technique to combat crime. This article finds that GIS operators experience significant operational challenges, because of the lack of the training in the use of GIS and poor GIS components such as computer and outdated GIS software’s. Further, the lack of relationship between units within the South African Police Service and external technological institutions disadvantages GIS operators to be successful in the use of GIS to process and map crime data. The study recommended that police management need to support police with the training and proper resources to successfully operate GIS to combat crime.
Violent crime remains one of South Africa’s most persistent developmental and security challenges, undermining social cohesion, economic investment, and human well-being. This study examines the structural, institutional, and community-level determinants of violent crime in the Ekurhuleni District and proposes a context-specific Integrated Framework for Violent Crime Mitigation (IFVCM). Using a qualitative case-study design within an interpretivist paradigm, the research draws on semi-structured interviews, focus groups, and document analysis involving thirty participants (twenty SAPS officials and ten community stakeholders). Thematic analysis revealed three overarching determinants of violence: (1) socio-economic deprivation and youth marginalisation, (2) institutional fragmentation and resource constraints within policing, and (3) weakened community cohesion and declining public trust. These determinants interact to create a self-reinforcing cycle of exclusion, mistrust, and vulnerability to criminality. The proposed IFVCM integrates socio-economic interventions, community engagement, intelligence-led and technology-enabled policing, and strengthened inter-agency governance. The framework aligns with national priorities outlined in the National Development Plan (NDP) 2030, the White Paper on Safety and Security (2016), and emerging post-COVID violence trends in Gauteng. The study contributes theoretically by integrating multiple criminological perspectives and practically by offering a scalable, evidence-based approach for strengthening safety in urban environments.
Assessing risk factors for juvenile delinquency necessitates a holistic approach, taking into account individual, familial, societal, and communal influences. Risk factors are conditions or attributes that may elevate the probability of adverse outcomes or behaviours in adolescents. These elements may include multiple dimensions of a young individual's life, such as personal, familial, peer, educational, and communal influences. Globally, crime persists as a pressing issue, predominantly involving youngsters in offences such as cybercrime, robbery, theft, shoplifting, substance misuse, cash-in-transit heists, violent crimes, abduction, kidnapping, gang-related activities, cultism, and ritual killings. It is imperative to confront the prevailing trend of juvenile criminal actions inside society. This article analyses risk variables associated with juvenile criminal behaviour and the responses of the criminal justice system and its stakeholders. The research employed a mixed-methods approach, incorporating in-person interviews and surveys for data acquisition. Research identifies determinants of criminal behaviour, including low self-control, impulsivity, and substance abuse. Family-related factors encompass parental neglect, maltreatment, and inadequate support. Social factors involve associations with delinquent peers, poverty, and discrimination. A correlation exists between drug, alcohol, and substance abuse and criminal behaviour among youth. Parental indifference may impact youth decision-making. Some young offenders are incarcerated in correctional facilities, while others participate in rehabilitation through diversion programs. The findings highlight the necessity for cohesive treatments involving family, community, and institutions, prioritising mental health support and restorative justice to diminish youth recidivism. The study advocates for the active involvement of stakeholders, including non-governmental organisations and rehabilitation centres. It emphasises the necessity for vigilant supervision and monitoring of youth by parents, guardians, family members, communities, institutions, and the criminal justice system to proactively prevent access to drugs and substances that incite violence and criminal behaviour. Furthermore, it underscores the importance of integrating family, community, and institutional interventions, mental health support, and restorative justice to mitigate youth recidivism. Additionally, it calls for the regular monitoring of youth mental health and the provision of effective interventions such as rehabilitation, youth crime prevention, treatment, and morality regeneration programs.
South Africa continues to experience high levels of violent crime, with the South African Police Service (SAPS) recording over 22,000 murders in 2023/2024, alongside increasing incidents of robbery and assault. While these statistics are alarming, little is known about the hidden forms of violence that occur within cultural settings, particularly during traditional ceremonies such as Umguyo, a Xhosa ritual that precedes Ulwaluko (Traditional Male Circumcision). This paper aims to evaluate the social, economic, and psychological effects of violence during the Umguyo practice on families and the broader rural community. It is also aimed at examining how such violence disrupts cultural harmony, education, and community cohesion. The study employed a qualitative approach, drawing on interviews and focus group discussions with custodians of culture and community members in the Amathole District Municipality of South Africa. Findings of the study demonstrate that (i) violent incidents during Umguyo transform the ceremony from a joyous cultural event into one of grief, creating deep emotional trauma and financial strain for affected families; (ii) traditional obligations such as funerals and cancelled rituals further burden families economically and socially; and (iii) rumours and disputes following violent incidents contribute to long-term community fragmentation and hinder educational progress during the initiation season. Overall, the study highlights how violence linked to cultural practices undermines social cohesion, mental well-being, and economic stability in rural South Africa. Addressing this requires culturally sensitive legal reforms and strengthened community engagement.
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.
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 |