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: 25 / 25 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 18:17 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.
19 / 25 with data · 6 missing or unmatched. Percentages use all 25 selected publications.
19 / 25 with data · 6 missing or unmatched. Percentages use all 25 selected publications.
25 / 25 with data · 0 missing or unmatched. Percentages use all 25 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 | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 10 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 0 | 10 | 10/10 | 10/10 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2023 | All selected publications | 2 | 5 | 5/5 | 5/5 |
| 2024 | All selected publications | 8 | 4 | 4/4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 | 4/4 |
| 2026 | All selected publications | 0 | 10 | 10/10 | 10/10 |
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 25 / 25 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): 2026-10-21T07:22:43.068053+00:00 — 2026-10-22T18:17:03.370013+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 | 25 | 25/25 |
| 2018 | All selected publications | 0 | 25 | 25/25 |
| 2019 | All selected publications | 0 | 25 | 25/25 |
| 2020 | All selected publications | 0 | 25 | 25/25 |
| 2021 | All selected publications | 0 | 25 | 25/25 |
| 2022 | All selected publications | 0 | 25 | 25/25 |
| 2023 | All selected publications | 2 | 25 | 25/25 |
| 2024 | All selected publications | 4 | 25 | 25/25 |
| 2025 | All selected publications | 2 | 25 | 25/25 |
| 2026 | All selected publications | 6 | 25 | 25/25 |
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 | 2 |
| 2023 | 5 |
| 2024 | 4 |
| 2025 | 4 |
| 2026 | 10 |
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 | 7 | 2 | 2 | 7/7 | 0.29 | 0 | 14.3 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 18 | 8 | 12 | 18/18 | 0.44 | 0.0 | 22.2 | 18/18 · 100.0% |
* Percentage among publications with a known citation count.
The integration of technology has been identified as a major factor that can improve the performance of community police, reduce crime rates, and enhance community security. The purpose of this study was therefore to identify the technologies employed by the community police unit of the Ghana Police Service and the challenges that impede the full integration of technology into community policing. By engaging 27 participants from the Ghana Police Service in the Greater-Accra, Ashanti and Northern Regions, the research used a qualitative descriptive approach to analyse the use of communication technologies, surveillance tools, and data management systems in community policing. Key findings revealed that technologies such as mobile phones, CCTV cameras, and data mapping tools are instrumental in enhancing real-time communication, monitoring, and crime prevention. However, significant obstacles, including financial constraints, low digital literacy among officers, and community trust issues, hinder full integration. The study recommended that the Ghana Police Service seeks partnerships with private organizations to secure funding for technological resources, expand digital literacy programs for officers, and engage communities to build trust around technology use in policing. These findings contribute to the discourse on modernising law enforcement and underscore the importance of technology for effective community engagement and public safety in Ghana. By addressing these challenges, law enforcement can achieve a balanced integration of technology to support community policing objectives.
This paper aims to investigate the incorporation of the ILP approach in the research area. It assesses If this approach has been incorporated into crime fighting in the police station’s areas which form part of the research. The research was based in the province of KwaZulu-Natal. The aim was to establish the incorporation of ILP in the day-to-day operation of the police, and 8 participants were drawn between the CIO and OPO stationed in four districts (Mkhanyakude, Zululand, uThukela, and Amajuba). The participants included two former police officers (one former Commander of CI and a former Station Commander) who were used to validate information by active police officers. One District Commander was also interviewed. Qualitative research methodology was followed to conduct the research and a purposive method of data gathering was used targeting police officers who work in crime intelligence units and those who have authority over the operational members of the SAPS. They provided information that was used to determine the incorporation of the ILP in the day-to-day operation of the SAPS in the research area. The paper found that this policing approach has not been incorporated into some components of policing in the research area. The major identified stumbling in the incorporation is the structural arrangement of the Crime Intelligence Unit which does not sync with crime combating at the station level.
Societies` views concerning the Criminal Justice System institutions are shaped not only by opportunities to interact with such institutions during normal work but also in part by efforts due to the larger mission (of these institutions) of encouraging and supporting such attitudes. Due to the global COVID 19 pandemic, most countries have implemented a lockdown as an initiative to control the spread of the virus. South Africa is no exception as the country joined most countries and announced the national lockdown in March 2020. With the national lockdown, Criminal Justice agencies such as the South African Police Service (SAPS) and the South African National Defence Force (SANDF) were deployed across the country to ensure compliance with the lockdown regulations. The police are the most visible and powerful arm of the state, the nature of the state and the way it is perceived has a profound impact on police-community relations and vice versa. With South Africa’s pronouncement of the national lockdown and state of emergency due to the pandemic, more inquiries and investigations into police practice during the national lockdown will be made. It is precisely in this context that this study aims to reflect on police-community relations during the national lockdown. A criminological analysis on the ramifications of the dented police-community relations due to the national lockdown will be explored. With the national lockdown regulations, clearly gazetted, this study will also employ criminological theories to further interrogate the regulations that impacted on the dented police-community relations.
The South African Police Services (SAPS) has a constitutional responsibility to prevent, combat, and investigate crime that would naturally occur within communities. It therefore stands to reason that, if the police are to fullfil this responsibility, community members should be involved. This paper examines the phenomenon of lack of community involvement in the fight against stock theft in Dr. Pixley ka Isaka Seme Municipality, Mpumalanga Province. To achieve this objective, it was necessary to first determine the extent to which community in the Dr. Pixley ka Isaka Seme Municipality is involved in the fight against of stock theft. A qualitative research approach was adopted for this study with the use of semi-structured in-depth interviews to collect data. The sample consisted of 22 participants selected through purposive sampling, who included farmers, herdsmen, Community Police Forum members, and community leaders. The study found that the community in the Dr. Pixley Ka Isaka Seme Municipality is not involved in the fight against stock theft and that this could mainly be attributed to the poor relationship between the South African Police Service and the community. It was also found that there are no regular meetings taking place to ensure that there is a common understanding regarding various stakeholders’ responsibilities in an attempt to combat stock theft within the area of study. There are no awareness campaigns to discuss the stock theft trends in Dr. Pixley Ka Isaka Seme Municipality area between the police and the community.
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.
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.
Rural police stations in South Africa continue to operate under conditions of severe resource scarcity. This study examines the operational realities of police officers working in under-resourced rural police stations in the Eastern Cape Province, focusing on how they adapt through improvisation and coping strategies. A qualitative research approach was employed using semi-structured interviews with 15 purposively selected police officers involved in frontline and investigative duties. The data were analysed using thematic analysis. The findings show that officers face shortages that affect patrols, response times, and investigations. To manage these constraints, officers depend on improvisation strategies such as sharing resources, adjusting work routines, using personal devices, and cooperating closely with local communities. While these strategies demonstrate resilience and commitment, they also place pressure on officers and risk normalising inadequate working conditions. This study contributes to rural policing scholarship by demonstrating how policing is sustained through everyday adaptation under conditions of chronic scarcity and highlights the implications for institutional accountability and officer wellbeing. In doing so, the study aligns with the United Nations Sustainable Development Goals, particularly SDG 8 (Decent Work and Economic Growth), through its focus on improving working conditions and supporting police officers operating in resource-constrained rural environments.
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 |