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: 8 / 8 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 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 00:14 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.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 selected publications.
8 / 8 with data · 0 missing or unmatched. Percentages use all 8 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 6 | 6/6 | 6/6 |
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 8 / 8 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): 2026-10-21T00:14:30.162048+00:00 — 2026-10-21T00:14:37.156847+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 | 8 | 8/8 |
| 2018 | All selected publications | 0 | 8 | 8/8 |
| 2019 | All selected publications | 0 | 8 | 8/8 |
| 2020 | All selected publications | 0 | 8 | 8/8 |
| 2021 | All selected publications | 0 | 8 | 8/8 |
| 2022 | All selected publications | 0 | 8 | 8/8 |
| 2023 | All selected publications | 0 | 8 | 8/8 |
| 2024 | All selected publications | 0 | 8 | 8/8 |
| 2025 | All selected publications | 1 | 8 | 8/8 |
| 2026 | All selected publications | 1 | 8 | 8/8 |
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 |
|---|---|
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 6 |
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 | 8 | 2 | 2 | 8/8 | 0.25 | 0.0 | 12.5 | 8/8 · 100.0% |
* Percentage among publications with a known citation count.
This article examines the necessity for implementing a more intelligent, inventive, and disruptive policing paradigm, such as intelligence-driven community policing, to address both traditional and technology-facilitated crimes. Intelligence-driven community policing is a comprehensive policing paradigm that emphasises the identification and prevention of habitual criminals, concentrating on groups that present a threat and risk to the community. It employs community intelligence alongside other intelligence-driven policing strategies and methodologies to address crime and criminal activity. The research employed a mixed-methods approach, integrating qualitative and quantitative data collection techniques. The data for this research was gathered in three countries: Denmark, the two South African metropolitan provinces of Gauteng and Western Cape, and three Nigerian cities: Lagos, Abuja, and Port Harcourt. The findings demonstrate that community policing has been embraced and executed in the majority of jurisdictions; yet, numerous issues hinder its efficient implementation. This encompasses a deficiency in comprehending the model's conceptual framework, misinterpretations and misconceptions by those responsible for its implementation, and an incapacity among the police, stakeholders, and the general public to distinguish community policing from state and regional policing. Innovative policing has significant consequences for international law enforcement in an increasingly digitised and complicated environment. Technological advancements have obscured the distinctions between the physical and digital domains, rendering the criminal scene increasingly global and complex. National and international law enforcement authorities must use innovative approaches and remain abreast of swift digitalisation and technical progress. This study recommends shifting to intelligence-driven community policing by integrating intelligence-led police strategies, techniques, and approaches into the community policing implementation framework. Understanding the conceptual framework of community policing and contemporary implementation methods tailored to the specific demands of each jurisdiction, police agency, culture, and circumstances is essential. A comprehensive recommendation is proposed to enhance the capacity and capability development of criminal justice, law enforcement, and intelligence personnel regarding the execution of intelligence-driven community policing.
As technology becomes increasingly integrated into policing, with social media particularly contributing to smart policing, understanding frontline officers’ attitudes in this regard remains pivotal towards the successful implementation of social media usage in policing in South Africa. This study explores how detectives in Edenvale perceive WhatsApp and Facebook for reducing house robberies, anchored in the Diffusion of Innovations (DOI) Theory. Employing a qualitative, exploratory design, data were collected through semi-structured interviews with purposively selected detectives and were analysed thematically. The findings reveal cautious optimism among the officers as they view social media as offering a clear relative advantage in terms of speed, real-time, and enhanced community engagement. Nonetheless, concerns regarding complexity (digital literacy gaps), compatibility (fit within existing investigative protocols), and organisational readiness, including institutional support and policy clarity not only undermine optimism but also pose some challenge to full and effective adoption. Limited opportunities for trialability and the mixed observability of successful outcomes further temper enthusiasm. The study concludes that targeted digital literacy training, structured pilot projects, and clear organisational policies could enhance the diffusion and sustained use of social media for house robbery prevention. This research contributes to understanding the dynamics of innovation adoption within policing contexts in South Africa, highlighting the nuanced role of technological integration in community safety.
The Nyumba Kumi initiative, launched in Kenya in 2013, is a community-oriented strategy designed to improve security by neighbourhood cooperation, information exchange, and shared accountability. Despite being applied across the country, its efficacy in densely populated informal settlements is variable and inadequately researched. This qualitative research utilises social disorganisation theory to examine the Nyumba Kumi Initiative in Mathare and analogous metropolitan locales, highlighting essential insights from these environments. The study employed a qualitative framework, including comprehensive interviews, focus group dialogues, and key informant conversations with community participants, local authorities, Nyumba Kumi representatives, and security personnel. Thematic analysis was employed to investigate community viewpoints, operational methodologies, and obstacles related to the initiative in urban informal settlements. The results demonstrate that the program has enhanced contact amongst neighbours and facilitated the reporting of suspicious behaviour in certain locales. Nonetheless, the execution in informal settlements encounters obstacles such as elevated population density, residential transience, inadequate institutional collaboration, ethnic heterogeneity, distrust between inhabitants and security forces, and apprehensions over privacy and safety in information sharing. The effort has encountered obstacles pertaining to politicisation, insufficient public knowledge, and ambiguous responsibilities among community stakeholders. The research determines that the Nyumba Kumi Initiative has the potential to improve community safety in informal urban settings. Its efficacy depends on continuous involvement, confidence, transparent leadership, and adjustment to the distinct dynamics of each community. Perspectives from Mathare and analogous environments provide essential direction for policymakers and practitioners aiming to enhance community policing and local safety.
In an era when information is power, the ability to anticipate crime has become more critical than merely responding to it. Effective crime prevention increasingly depends on the strategic adoption of Intelligence-Led Policing (ILP). This study examines the role of ILP as a proactive crime prevention strategy, comparing South Africa with the more established models of the United Kingdom, the United States, and Australia. Grounded in Routine Activity Theory (RAT), this qualitative desktop study draws on fifteen purposively selected academic and policy sources, identified through a documented search and screening process. The findings show that while ILP is well institutionalised in countries with mature policing systems, its implementation in South Africa remains fragmented, constrained by institutional fragmentation, limited analytical capacity, political interference, and resource shortages. Comparative analysis underscores the importance of inter-agency coordination, professionalisation of intelligence units, and context-specific adaptation of ILP principles rather than direct replication of foreign models. The study concludes that strengthening ILP in South Africa requires a unified intelligence framework that integrates community policing, builds institutional capacity, and embeds a culture of intelligence sharing and accountability, and it proposes a research agenda centred on evaluating pilot ILP interventions.
Social media has emerged as a transformative tool in contemporary policing, enabling both crime prevention and crime detection through enhanced community engagement and digital guardianship. This desk research study investigates the utilisation of social media within community police collaboration in South Africa, drawing on Routine Activity Theory and Community Policing Theory as an integrated theoretical framework. Through a systematic review of scholarly literature, policy documents, and official reports, the study examines how social media is conceptualised, identifies documented evidence of effective community police collaboration, and highlights associated opportunities, limitations, and ethical considerations. Findings indicate that social media facilitates the detection of criminal behaviour, deters potential offenders by increasing perceived risks, and strengthens cooperative engagement between citizens and law enforcement. However, unregulated use presents ethical, legal, and operational challenges, underscoring the need for policy-guided, transparent, and accountable practices. The study contributes theoretically by integrating two complementary frameworks to explain crime prevention through detection in digital environments, and practically by providing insights for policymakers and police institutions seeking to leverage social media responsibly.
As technology becomes increasingly integrated into policing, with social media particularly contributing to smart policing, understanding frontline officers’ attitudes in this regard remains pivotal towards the successful implementation of social media usage in policing in South Africa. This study explores how detectives in Edenvale perceive WhatsApp and Facebook for reducing house robberies, anchored in the Diffusion of Innovations (DOI) Theory. Employing a qualitative, exploratory design, data were collected through semi-structured interviews with purposively selected detectives and were analysed thematically. The findings reveal cautious optimism among the officers as they view social media as offering a clear relative advantage in terms of speed, real-time, and enhanced community engagement. Nonetheless, concerns regarding complexity (digital literacy gaps), compatibility (fit within existing investigative protocols), and organisational readiness, including institutional support and policy clarity not only undermine optimism but also pose some challenge to full and effective adoption. Limited opportunities for trialability and the mixed observability of successful outcomes further temper enthusiasm. The study concludes that targeted digital literacy training, structured pilot projects, and clear organisational policies could enhance the diffusion and sustained use of social media for house robbery prevention. This research contributes to understanding the dynamics of innovation adoption within policing contexts in South Africa, highlighting the nuanced role of technological integration in community safety.
The Nyumba Kumi initiative, launched in Kenya in 2013, is a community-oriented strategy designed to improve security by neighbourhood cooperation, information exchange, and shared accountability. Despite being applied across the country, its efficacy in densely populated informal settlements is variable and inadequately researched. This qualitative research utilises social disorganisation theory to examine the Nyumba Kumi Initiative in Mathare and analogous metropolitan locales, highlighting essential insights from these environments. The study employed a qualitative framework, including comprehensive interviews, focus group dialogues, and key informant conversations with community participants, local authorities, Nyumba Kumi representatives, and security personnel. Thematic analysis was employed to investigate community viewpoints, operational methodologies, and obstacles related to the initiative in urban informal settlements. The results demonstrate that the program has enhanced contact amongst neighbours and facilitated the reporting of suspicious behaviour in certain locales. Nonetheless, the execution in informal settlements encounters obstacles such as elevated population density, residential transience, inadequate institutional collaboration, ethnic heterogeneity, distrust between inhabitants and security forces, and apprehensions over privacy and safety in information sharing. The effort has encountered obstacles pertaining to politicisation, insufficient public knowledge, and ambiguous responsibilities among community stakeholders. The research determines that the Nyumba Kumi Initiative has the potential to improve community safety in informal urban settings. Its efficacy depends on continuous involvement, confidence, transparent leadership, and adjustment to the distinct dynamics of each community. Perspectives from Mathare and analogous environments provide essential direction for policymakers and practitioners aiming to enhance community policing and local safety.
In an era when information is power, the ability to anticipate crime has become more critical than merely responding to it. Effective crime prevention increasingly depends on the strategic adoption of Intelligence-Led Policing (ILP). This study examines the role of ILP as a proactive crime prevention strategy, comparing South Africa with the more established models of the United Kingdom, the United States, and Australia. Grounded in Routine Activity Theory (RAT), this qualitative desktop study draws on fifteen purposively selected academic and policy sources, identified through a documented search and screening process. The findings show that while ILP is well institutionalised in countries with mature policing systems, its implementation in South Africa remains fragmented, constrained by institutional fragmentation, limited analytical capacity, political interference, and resource shortages. Comparative analysis underscores the importance of inter-agency coordination, professionalisation of intelligence units, and context-specific adaptation of ILP principles rather than direct replication of foreign models. The study concludes that strengthening ILP in South Africa requires a unified intelligence framework that integrates community policing, builds institutional capacity, and embeds a culture of intelligence sharing and accountability, and it proposes a research agenda centred on evaluating pilot ILP interventions.
Social media has emerged as a transformative tool in contemporary policing, enabling both crime prevention and crime detection through enhanced community engagement and digital guardianship. This desk research study investigates the utilisation of social media within community police collaboration in South Africa, drawing on Routine Activity Theory and Community Policing Theory as an integrated theoretical framework. Through a systematic review of scholarly literature, policy documents, and official reports, the study examines how social media is conceptualised, identifies documented evidence of effective community police collaboration, and highlights associated opportunities, limitations, and ethical considerations. Findings indicate that social media facilitates the detection of criminal behaviour, deters potential offenders by increasing perceived risks, and strengthens cooperative engagement between citizens and law enforcement. However, unregulated use presents ethical, legal, and operational challenges, underscoring the need for policy-guided, transparent, and accountable practices. The study contributes theoretically by integrating two complementary frameworks to explain crime prevention through detection in digital environments, and practically by providing insights for policymakers and police institutions seeking to leverage social media responsibly.
Community policing was introduced in post-apartheid South Africa to rebuild trust between law enforcement and communities. However, its crime prevention role is limited by persistent challenges. This study explores these limitations through the perceptions of police officers and community members in Bizana, Eastern Cape, using a qualitative design and semi-structured interviews. Thematic analysis identified key obstacles: limited police resources, rural–urban inequalities, weak community engagement, and inadequate training. While community policing contributes to social control, crime prevention, and safety, its impact is undermined by poor police–community cooperation and fear of victimisation, which deters reporting and hotspot identification. Structural factors, including poor roads and a shortage of police vehicles, fuel rising rural crime, especially stock theft and drug-related offences. Limited institutional support for Community Policing Forums and night patrols further reduces their sustainability and effectiveness. The study offers context-specific insights into the implementation of community policing in rural South Africa and underscores the need for better resource allocation, stronger partnerships, and context-responsive strategies. It also advances global development priorities, particularly SDG 16 (Peace, Justice and Strong Institutions) and SDG 11 (Sustainable Cities and Communities), by emphasising accountable, inclusive, and effective policing systems.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |