Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
Crossref and OpenAlex · separate totals for the same publication cohorts
Hover over a year or focus the chart and use arrow keys to inspect values.
Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.
OpenAlex · incoming citation links grouped by citing-work year
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.
Crossref citation coverage: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 12:02 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.
The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.
Annual history available for 5 / 5 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.
Annual-history observations (UTC): 2026-10-21T07:22:49.824259+00:00 — 2026-10-22T12:02:20.797199+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 0 | 5 | 5/5 |
| 2022 | All selected publications | 0 | 5 | 5/5 |
| 2023 | All selected publications | 0 | 5 | 5/5 |
| 2024 | All selected publications | 3 | 5 | 5/5 |
| 2025 | All selected publications | 0 | 5 | 5/5 |
| 2026 | All selected publications | 1 | 5 | 5/5 |
Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 1 |
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 Research in Business and Social Science SSBFNET | 5 | 2 | 4 | 5/5 | 0.4 | 0 | 40.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
In some parts of the Vhembe District in Limpopo Province of South Africa, vandalism is becoming a serious problem, and solutions are not easy to find. Vandalism has had a variety of negative impacts on livestock farmers. A few studies have studied the concept of vandalism, but studies employing empirical models to determine the factors that are of significance to vandalism are conspicuously rare, if not absent. This paper investigated factors of significance to on-farm infrastructural vandalism in the Musekwa Valley of the Vhembe District, Limpopo Province. The study used a mixed method approach and collected data using a cross-cultural semi structured questionnaire instrument translated from English into the native Tshivenda. Data were collected from fifty-five (n=55) purposively selected primary participants who were interviewed using face to face approach. Additional data were collected through key informant interviews administered on purposively selected key informants (n = 4), focus group discussions were done, and transect walks were employed for observation purposes. A binary logistic regression model was fitted to the data, and the following factors emerged as significant to vandalism: age, gender, education level, ownership of cattle, exposure to information, household expenditure, and reporting of incidents of vandalism to authorities. It is recommended that a community-based approach is adopted to find solutions to the problem of vandalism, to avoid a top-down approach that residents might undermine.
In comparison to more common crimes like robbery of cash-in-transit, the idea of bank-related robbery—also known as "associated robbery"—has received very little attention. Even though the crime of bank-associated robbery has seen a large rise in instances and related losses, there is still little to no scientific research on the topic. Therefore, the purpose of this study is to investigate and characterize the modus operandi (MO) employed in bank-related robberies, a crime phenomenon that appears to be specific to South Africa. Eleven participants who are subject matter experts (SMEs) on the topic participated in in-depth qualitative interviews to learn more about the phenomena. According to the report, bank-related robberies fall into two primary categories: robberies that occur before cash deposits and those that occur after cash withdrawals. The police do not categorize bank-related robberies in the same way that the banking industry does, which is the biggest obstacle to preventative efforts. In order to address the aforementioned issue, this study adds to the body of knowledge on the subject in order to inform prevention initiatives. The results also show that carrying a lot of cash increases the risk of becoming a victim of crime for bank customers. Therefore, it is advised that bank customers carry the least amount of cash possible on them to make themselves less appealing to robbers.
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.
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 article explores the nature and extent of crime in the railway environment in South Africa. Crimes against Passenger Rail Agency of South Africa, Transnet Freight Rail, Gautrain, and commuters are prevalent and the victims are being exposed to serious damage emanating from criminal activities. The challenges and implications for individuals and businesses, rich or poor consumers are recurrent themes in this study. A qualitative research approach was adopted to follow a non-probability purposive sample comprising 25 participants from the South African Police Service Rapid Rail Police Units. The data were collected through semi-structured interviews from research participants deployed in the Division: Visible Policing. The findings highlighted that the most prevalent crimes are cable theft, robberies and malicious property damage. The targeted trains are the Metro trains that operate locally, as they transport many commuters because it is the affordable mode of public transport in South Africa. The perpetrators also target this mode of transport because the train stations have an open system where perpetrators can easily access the entrance, therefore some do not even buy tickets and board the trains illegally. It is understood that Gautrain has a closed system and the security is advanced and watertight because of extra security measures such as the closed-circuit television cameras. Based on the findings, effective implementation of policies to improve safety is essential. Critical dialogues between all relevant.
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.
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.
In some parts of the Vhembe District in Limpopo Province of South Africa, vandalism is becoming a serious problem, and solutions are not easy to find. Vandalism has had a variety of negative impacts on livestock farmers. A few studies have studied the concept of vandalism, but studies employing empirical models to determine the factors that are of significance to vandalism are conspicuously rare, if not absent. This paper investigated factors of significance to on-farm infrastructural vandalism in the Musekwa Valley of the Vhembe District, Limpopo Province. The study used a mixed method approach and collected data using a cross-cultural semi structured questionnaire instrument translated from English into the native Tshivenda. Data were collected from fifty-five (n=55) purposively selected primary participants who were interviewed using face to face approach. Additional data were collected through key informant interviews administered on purposively selected key informants (n = 4), focus group discussions were done, and transect walks were employed for observation purposes. A binary logistic regression model was fitted to the data, and the following factors emerged as significant to vandalism: age, gender, education level, ownership of cattle, exposure to information, household expenditure, and reporting of incidents of vandalism to authorities. It is recommended that a community-based approach is adopted to find solutions to the problem of vandalism, to avoid a top-down approach that residents might undermine.
In comparison to more common crimes like robbery of cash-in-transit, the idea of bank-related robbery—also known as "associated robbery"—has received very little attention. Even though the crime of bank-associated robbery has seen a large rise in instances and related losses, there is still little to no scientific research on the topic. Therefore, the purpose of this study is to investigate and characterize the modus operandi (MO) employed in bank-related robberies, a crime phenomenon that appears to be specific to South Africa. Eleven participants who are subject matter experts (SMEs) on the topic participated in in-depth qualitative interviews to learn more about the phenomena. According to the report, bank-related robberies fall into two primary categories: robberies that occur before cash deposits and those that occur after cash withdrawals. The police do not categorize bank-related robberies in the same way that the banking industry does, which is the biggest obstacle to preventative efforts. In order to address the aforementioned issue, this study adds to the body of knowledge on the subject in order to inform prevention initiatives. The results also show that carrying a lot of cash increases the risk of becoming a victim of crime for bank customers. Therefore, it is advised that bank customers carry the least amount of cash possible on them to make themselves less appealing to robbers.
This article explores the nature and extent of crime in the railway environment in South Africa. Crimes against Passenger Rail Agency of South Africa, Transnet Freight Rail, Gautrain, and commuters are prevalent and the victims are being exposed to serious damage emanating from criminal activities. The challenges and implications for individuals and businesses, rich or poor consumers are recurrent themes in this study. A qualitative research approach was adopted to follow a non-probability purposive sample comprising 25 participants from the South African Police Service Rapid Rail Police Units. The data were collected through semi-structured interviews from research participants deployed in the Division: Visible Policing. The findings highlighted that the most prevalent crimes are cable theft, robberies and malicious property damage. The targeted trains are the Metro trains that operate locally, as they transport many commuters because it is the affordable mode of public transport in South Africa. The perpetrators also target this mode of transport because the train stations have an open system where perpetrators can easily access the entrance, therefore some do not even buy tickets and board the trains illegally. It is understood that Gautrain has a closed system and the security is advanced and watertight because of extra security measures such as the closed-circuit television cameras. Based on the findings, effective implementation of policies to improve safety is essential. Critical dialogues between all relevant.
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 |