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: 4 / 4 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: 22 Oct 2026 01:28 UTC — 22 Oct 2026 04:43 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 19 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 22 | 4 | 4/4 | 4/4 |
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 4 / 4 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): 2026-10-22T01:28:34.648934+00:00 — 2026-10-22T04:43:21.878062+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 4 | 4 | 4/4 |
| 2024 | All selected publications | 8 | 4 | 4/4 |
| 2025 | All selected publications | 4 | 4 | 4/4 |
| 2026 | All selected publications | 6 | 4 | 4/4 |
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 | 4 |
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 | 4 | 19 | 22 | 4/4 | 4.75 | 2.0 | 100.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
Cybercrime is touted as any harmful behaviour that is in some way related to a computer but does not have a specific legal reference. Therefore, the objective of this study was to explore cybersecurity as a response to combating cybercrime, focusing on demystifying the prevailing threats, while offering recommendations to the African regions. Moreover, this qualitative study employed a non-empirical research design: Systematic review methodology to analyse grey literature and primary research studies peer-reviewed and published, restricted from 2010-2022, not following yearly sequential consideration. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Critical Appraisal Skill Programme (CASP) were employed to ensure the trustworthiness of the findings of this study based on reviewed conventional and seminal literature studies on this subject. The main findings of this study rest on a lack of a common universal definition of cybercrime, this has an impact on its prevention and ignores enormous economic value associated with the commission of this crime across the world, African regions included. It was also observed that this criminal act is presently committed with internet usage, consisting of copyright infringements, computer-related fraud, child or adult pornography, and network security violations, amongst others. Equally, addressing this scourge in African regions requires advanced skills and knowledge; exceeding the average computer and internet user. It is also critical to recognise the importance of implementing efficient cybersecurity methods, as policing this crime remains an important component of the Law Enforcement Agencies (LEA), and more innovative strategies are required and a globally coordinated response to this problem is urgently sought.
The purpose of the study was to evaluate the challenges encountered by the South African Police services (SAPS) when dealing with 4IR. The study used a qualitative approach because the study wished to obtain practical answers to the problem, as well as the explanations provided by participants who are practitioners in the field and a total of forty (40) police officers were selected to participate in the study. The researcher followed purposive sampling. The reasoning for using purposive sampling is that it is based on the assumptions that the participants have in-depth knowledge in the chosen areas of the study. The findings of the study are that the local police stations of SAPS Gauteng are where many victims of crimes emerging from 4IR get turned away by officials who do not understand the various cybercrimes, the applicable charges, or how to go about escalating the matter. The study further found that the Government policy seems to prioritize statistics, quotas, and the images they reflect as opposed to the true situation hence crimes emerging from 4IR are poorly understood, prevented, and investigated. The study recommends that IT capacity and resources within SAPS have to be developed in order to ensure that the SAPS in Gauteng province is able to investigate, combat and trace the sophisticated crimes caused by the criminals. The SAPS needs to allocate funds to buy IT equipment, software and headhunt personnel who have skills, knowledge, and capacity to curb, investigate and combat 4IR crimes.
Social media is considered a double-edged sword, with both positive and negative effects. A qualitative research approach was adopted to explore the extent to which and the ways in which South African police use social media in the study area. The findings were collected through semi-structured interviews with 22 participants comprising the South African Police Service (SAPS) officials in the Giyani Cluster policing area. The findings indicate that criminals in the Limpopo Province use social media to commit crimes in the country, other countries in Africa, and elsewhere. The findings also indicate that social media is used to bring positive attention to law enforcement agencies and aid in criminal investigations. Although the positive impact of social media was highlighted in these experiences, persistent problems and challenges also featured in the data. Finally, officer insights were drawn upon to make recommendations for future policing policy and research. This paper concludes that social media as a tool can be utilised in terms of data gathering, prediction and spotting broader patterns, for combating organised crime by the SAPS.
Today use of Credit Card even in developing countries has become a common scenario. People use it to shop, pay bills and for online transactions. This study explored the challenges of forensic technology in responding to credit card fraud as an approach used by the South African Police Service (SAPS) in Sedibeng region. This study was carried out utilising a qualitative approach and thirty nine interviews were carried out among officials deployed in the SAPS, community leaders, members of the community and bank managers. The key findings indicated that the challenges in responding to this scourge is that the perpetrators utilise advanced technologies resources (computer hacking software) as opposed to SAPS which does not have systems nor capacity to effectively respond to this crime. The limited resources to respond to this crime adequately. For recommendations; significant emphases should be directed on the promotion of public awareness through public education. The intensive training of SAPS officials and inter-governmental collaboration between the SAPS, community police forums, bank managers and South African Banking Risk Information Centre (SABRIC) in understanding this technology are highly advised.
Today use of Credit Card even in developing countries has become a common scenario. People use it to shop, pay bills and for online transactions. This study explored the challenges of forensic technology in responding to credit card fraud as an approach used by the South African Police Service (SAPS) in Sedibeng region. This study was carried out utilising a qualitative approach and thirty nine interviews were carried out among officials deployed in the SAPS, community leaders, members of the community and bank managers. The key findings indicated that the challenges in responding to this scourge is that the perpetrators utilise advanced technologies resources (computer hacking software) as opposed to SAPS which does not have systems nor capacity to effectively respond to this crime. The limited resources to respond to this crime adequately. For recommendations; significant emphases should be directed on the promotion of public awareness through public education. The intensive training of SAPS officials and inter-governmental collaboration between the SAPS, community police forums, bank managers and South African Banking Risk Information Centre (SABRIC) in understanding this technology are highly advised.
Cybercrime is touted as any harmful behaviour that is in some way related to a computer but does not have a specific legal reference. Therefore, the objective of this study was to explore cybersecurity as a response to combating cybercrime, focusing on demystifying the prevailing threats, while offering recommendations to the African regions. Moreover, this qualitative study employed a non-empirical research design: Systematic review methodology to analyse grey literature and primary research studies peer-reviewed and published, restricted from 2010-2022, not following yearly sequential consideration. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Critical Appraisal Skill Programme (CASP) were employed to ensure the trustworthiness of the findings of this study based on reviewed conventional and seminal literature studies on this subject. The main findings of this study rest on a lack of a common universal definition of cybercrime, this has an impact on its prevention and ignores enormous economic value associated with the commission of this crime across the world, African regions included. It was also observed that this criminal act is presently committed with internet usage, consisting of copyright infringements, computer-related fraud, child or adult pornography, and network security violations, amongst others. Equally, addressing this scourge in African regions requires advanced skills and knowledge; exceeding the average computer and internet user. It is also critical to recognise the importance of implementing efficient cybersecurity methods, as policing this crime remains an important component of the Law Enforcement Agencies (LEA), and more innovative strategies are required and a globally coordinated response to this problem is urgently sought.
The purpose of the study was to evaluate the challenges encountered by the South African Police services (SAPS) when dealing with 4IR. The study used a qualitative approach because the study wished to obtain practical answers to the problem, as well as the explanations provided by participants who are practitioners in the field and a total of forty (40) police officers were selected to participate in the study. The researcher followed purposive sampling. The reasoning for using purposive sampling is that it is based on the assumptions that the participants have in-depth knowledge in the chosen areas of the study. The findings of the study are that the local police stations of SAPS Gauteng are where many victims of crimes emerging from 4IR get turned away by officials who do not understand the various cybercrimes, the applicable charges, or how to go about escalating the matter. The study further found that the Government policy seems to prioritize statistics, quotas, and the images they reflect as opposed to the true situation hence crimes emerging from 4IR are poorly understood, prevented, and investigated. The study recommends that IT capacity and resources within SAPS have to be developed in order to ensure that the SAPS in Gauteng province is able to investigate, combat and trace the sophisticated crimes caused by the criminals. The SAPS needs to allocate funds to buy IT equipment, software and headhunt personnel who have skills, knowledge, and capacity to curb, investigate and combat 4IR crimes.
Social media is considered a double-edged sword, with both positive and negative effects. A qualitative research approach was adopted to explore the extent to which and the ways in which South African police use social media in the study area. The findings were collected through semi-structured interviews with 22 participants comprising the South African Police Service (SAPS) officials in the Giyani Cluster policing area. The findings indicate that criminals in the Limpopo Province use social media to commit crimes in the country, other countries in Africa, and elsewhere. The findings also indicate that social media is used to bring positive attention to law enforcement agencies and aid in criminal investigations. Although the positive impact of social media was highlighted in these experiences, persistent problems and challenges also featured in the data. Finally, officer insights were drawn upon to make recommendations for future policing policy and research. This paper concludes that social media as a tool can be utilised in terms of data gathering, prediction and spotting broader patterns, for combating organised crime by the SAPS.
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 |