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: 3 / 3 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 07:23 UTC — 22 Oct 2026 02:03 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2025 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 0 | 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 3 / 3 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): 2026-10-21T07:23:04.050268+00:00 — 2026-10-22T02:03:55.059647+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 0 | 3 | 3/3 |
| 2025 | All selected publications | 0 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 |
|---|---|
| 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 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
In South Africa, extortion and protection racketeering are widespread, particularly affecting small businesses and rural communities, exacerbating social vulnerabilities. In the Eastern Cape, women face a disturbing trend where they are coerced into paying "protection fees" to avoid threats of rape, rendering them in a state of helplessness. Extortion has permeated all sectors of the South African economy, from construction to entertainment (nightclubs), and extortion tactics among rural women have been on the rise. The aim of the paper is to explore how gender, poverty, and crime interact to oppress these women, as well as the weaknesses in law enforcement that allow protection fees to persist. The paper employed documentary analysis of media reports, government publications, and academic studies to understand the socio-economic and legal contexts surrounding these practices. The theory of learnt helplessness and hopelessness is applied to explain the psychological effects of repeated extortion on rural women, leading to feelings of powerlessness. Findings reveal that these women experience heightened psychological distress, social isolation, and economic disempowerment due to ongoing threats of violence. The study highlights how their financial independence and social roles are weakened, making them more vulnerable to gender-based violence. The paper recommends urgent action by law enforcement and traditional leaders to protect women in these rural communities and to develop strategies to combat extortion and gender-based violence.
The South African communities are being buffeted by illicit drug markets. While the dynamics of drug markets are shaped by a range of domestic political and socioeconomic factors, these states have been rendered vulnerable also by their proximity to major transnational drug trafficking routes that link illicit drug production origin points with regional and global marketplaces. Cocaine, heroin, methamphetamine, cannabis and a wide array of synthetic substances flow through the region along various routes, exploiting vulnerabilities in port facilities and interdiction agencies, and connecting the substances, their markets and their organized criminal beneficiaries. The results show that illicit drug detection systems may be inadequate due to a lack of experience with online fraud. From a South African standpoint, the study found that there is a high risk due to a lack of legal regulation. Maritime Based Drug-Trafficking in South African Communities are encouraged to acquire and develop Maritime expertise because the South Africa communities lacks these specialists. To achieve the study's goals, a literature analysis was used, and secondary data was evaluated and deconstructed. This paper major goal was to look at the causes and motivations behind Maritime Based Drug-Trafficking. The inquiry concentrated on young people's excessive and unusual drugs and alcohol consumption. The study made recommendations for potential research topics that the South Africa communities could look into in order to create and improve Maritime models.
In recent years, South Africa has witnessed a rise in diverse criminal activities, including violent crime, armed robbery, domestic violence, rape, heists, murder, drug abuse, theft, organised crime, cybercrime, social media offences, gangsterism, ritual killings, cultism, smuggling, the import and sale of contraband, and human and drug trafficking. Enhancing the abilities and competencies of criminal justice officials responsible for preventing, reducing, investigating, and prosecuting crime is crucial for achieving success in the fight against crime. This study seeks to discover comprehensive tools and techniques to reduce cash-in-transit robbery thefts in South Africa. A mixed-method approach was employed for data collecting, integrating qualitative and quantitative methodologies, such as interviews and questionnaires. Findings indicated alarming escalations in violent crime and cash-in-transit heists in South Africa. Technological improvements and inventions have led to an increase in sophisticated criminal activities both in South Africa and elsewhere. Cash-in-transit crime adversely impacts the nation's economy, leading to significant financial losses for institutions and resulting in numerous fatalities. It is essential to analyse the root causes of cash-in-transit crimes to implement preventive measures; hence, enhancing the capacity of police, law enforcement, and private security personnel to collect and utilise intelligence is necessary for the prevention and reduction of cash-in-transit robberies. Intelligence-led policing techniques should be implemented to target criminals and mitigate cash-in-transit crime in South African communities, as well as to prosecute offenders. Moreover, the implementation of multifaceted and holistic strategies, including spatial and crime mapping, focused deterrence, the prediction of prolific offenders, the identification and targeting of repeat offenders, crime intelligence, community intelligence, and inter-agency collaboration, is essential for an expedited response to crime incidents, as well as for the prevention and reduction of crime, investigation, prosecution, and sentencing of cash-in-transit heist offenders. It is essential for the criminal justice system, law enforcement, and security agencies to adopt intelligence-driven community policing, a holistic approach that prioritises the identification and prevention of habitual offenders, focussing on groups that pose a threat to the community. It utilises community intelligence in conjunction with other intelligence-driven policing techniques and approaches to combat crime and criminal activities.
In South Africa, extortion and protection racketeering are widespread, particularly affecting small businesses and rural communities, exacerbating social vulnerabilities. In the Eastern Cape, women face a disturbing trend where they are coerced into paying "protection fees" to avoid threats of rape, rendering them in a state of helplessness. Extortion has permeated all sectors of the South African economy, from construction to entertainment (nightclubs), and extortion tactics among rural women have been on the rise. The aim of the paper is to explore how gender, poverty, and crime interact to oppress these women, as well as the weaknesses in law enforcement that allow protection fees to persist. The paper employed documentary analysis of media reports, government publications, and academic studies to understand the socio-economic and legal contexts surrounding these practices. The theory of learnt helplessness and hopelessness is applied to explain the psychological effects of repeated extortion on rural women, leading to feelings of powerlessness. Findings reveal that these women experience heightened psychological distress, social isolation, and economic disempowerment due to ongoing threats of violence. The study highlights how their financial independence and social roles are weakened, making them more vulnerable to gender-based violence. The paper recommends urgent action by law enforcement and traditional leaders to protect women in these rural communities and to develop strategies to combat extortion and gender-based violence.
The South African communities are being buffeted by illicit drug markets. While the dynamics of drug markets are shaped by a range of domestic political and socioeconomic factors, these states have been rendered vulnerable also by their proximity to major transnational drug trafficking routes that link illicit drug production origin points with regional and global marketplaces. Cocaine, heroin, methamphetamine, cannabis and a wide array of synthetic substances flow through the region along various routes, exploiting vulnerabilities in port facilities and interdiction agencies, and connecting the substances, their markets and their organized criminal beneficiaries. The results show that illicit drug detection systems may be inadequate due to a lack of experience with online fraud. From a South African standpoint, the study found that there is a high risk due to a lack of legal regulation. Maritime Based Drug-Trafficking in South African Communities are encouraged to acquire and develop Maritime expertise because the South Africa communities lacks these specialists. To achieve the study's goals, a literature analysis was used, and secondary data was evaluated and deconstructed. This paper major goal was to look at the causes and motivations behind Maritime Based Drug-Trafficking. The inquiry concentrated on young people's excessive and unusual drugs and alcohol consumption. The study made recommendations for potential research topics that the South Africa communities could look into in order to create and improve Maritime models.
In recent years, South Africa has witnessed a rise in diverse criminal activities, including violent crime, armed robbery, domestic violence, rape, heists, murder, drug abuse, theft, organised crime, cybercrime, social media offences, gangsterism, ritual killings, cultism, smuggling, the import and sale of contraband, and human and drug trafficking. Enhancing the abilities and competencies of criminal justice officials responsible for preventing, reducing, investigating, and prosecuting crime is crucial for achieving success in the fight against crime. This study seeks to discover comprehensive tools and techniques to reduce cash-in-transit robbery thefts in South Africa. A mixed-method approach was employed for data collecting, integrating qualitative and quantitative methodologies, such as interviews and questionnaires. Findings indicated alarming escalations in violent crime and cash-in-transit heists in South Africa. Technological improvements and inventions have led to an increase in sophisticated criminal activities both in South Africa and elsewhere. Cash-in-transit crime adversely impacts the nation's economy, leading to significant financial losses for institutions and resulting in numerous fatalities. It is essential to analyse the root causes of cash-in-transit crimes to implement preventive measures; hence, enhancing the capacity of police, law enforcement, and private security personnel to collect and utilise intelligence is necessary for the prevention and reduction of cash-in-transit robberies. Intelligence-led policing techniques should be implemented to target criminals and mitigate cash-in-transit crime in South African communities, as well as to prosecute offenders. Moreover, the implementation of multifaceted and holistic strategies, including spatial and crime mapping, focused deterrence, the prediction of prolific offenders, the identification and targeting of repeat offenders, crime intelligence, community intelligence, and inter-agency collaboration, is essential for an expedited response to crime incidents, as well as for the prevention and reduction of crime, investigation, prosecution, and sentencing of cash-in-transit heist offenders. It is essential for the criminal justice system, law enforcement, and security agencies to adopt intelligence-driven community policing, a holistic approach that prioritises the identification and prevention of habitual offenders, focussing on groups that pose a threat to the community. It utilises community intelligence in conjunction with other intelligence-driven policing techniques and approaches to combat crime and criminal activities.
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 |