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 12:24 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 | 2 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 2 | 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): 2026-10-21T07:23:04.576121+00:00 — 2026-10-22T12:24:39.161042+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 | 2 | 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 | 2 | 2 | 2/2 | 1.0 | 1.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
With the rapid advancement of information technology (IT), it increasingly becomes challenging to identify crimes devoid of a digital component. An increase in internet users correlates with a rising percentage of cybercriminals transitioning traditional crime to the online environment. It is essential to enhance the cybercrime preparedness of law enforcement agencies to effectively address and eliminate this issue. Cyber-attacks have adversely affected the escalating epidemic, necessitating effective solutions. This paper employs qualitative content analysis to examine the challenges and opportunities faced by the South African Police Service (SAPS) in addressing cybercrime. The objective is to propose strategies and methodologies for the establishment of robust professional institutions and the allocation of adequate resources to address cybercrime effectively. The findings indicate a relationship between organisational context, complexity, and control in the context of cybercrime response. Larger agencies, such as the SAPS, those whose officers perform more non-routine tasks, and agencies operating under an active collective bargaining agreement are more inclined to allocate specific resources to cybercrime. Agencies characterised by increased hierarchical layers, greater specialisation, and a higher reliance on civilian employees are more inclined to assign dedicated personnel to cybercrime efforts. This article is among the limited studies employing this framework to analyse the relationship between organisational characteristics and responses to cybercrime. This perspective is beneficial for analysing police organisations, policies, programs, and strategies.
This study evaluates the nature and extent of cybercrimes prevalent within higher learning institutions of South Africa. Cyber-attacks are growing at a distressing rate and has posed a serious challenge within academia by impacting and disrupting normal learning setting. Universities data infrastructure is vulnerable to criminals, can be compromised easily while students and staff are not alien to proportion of cybercrime impact inclusive of hacking, financial loss, bullying, illegal circulation of pornography, blackmailing’s, extortion and many other crimes. This case study evaluates student views about cybercrimes prevalent, causes, interrogated views about cybersecurity channels and impact of crimes at the University of Venda (Univen). Quantitative approach is applied, where snowballing sample procedure was utilised to quantitatively sample Univen students. The focus of this section, is Univen students, therefore 200 questionnaires were circulated amongst them to collect data. The research utilised the routine activities theory and differential association theory of crime as the study problem framework. Statistical Package for Social Sciences (SPSS) version 22 for quantitative data analysis is used to analyse data. The study uncovered depth of cybercrimes prevalent within Univen and extent of victimization and perpetration. It also exposes legal challenges hindering reporting or disclosure of violence suffered in online platforms. It makes recommendations that could be used to inform adoption of framework to manage cybercrimes within higher education institutions (HEI) of South Africa and to find alternatives programmes that will positively address cyber incidents within academia.
The growing number of cybercriminals impersonating religious leaders and institutions for financial gain poses a serious threat to the integrity and economic security of religious groups, notably prominent Pentecostal ministries. This study thoroughly investigates and evaluates this phenomenon, focusing on cybercriminals' tactics, the scope of their actions, and the consequences for targeted religious communities and people. The study applies a complete desktop research technique to analyse hackers' use of religious leaders' identities for financial benefit, focusing on Pentecostal ministries. This strategy includes searching academic databases, reading cybersecurity and religious studies journals, and analysing documented cases. The findings show that cybercriminals are primarily driven by financial gain and use strategies including building phoney social media pages, phishing techniques, and compromising communication lines to impersonate religious groups and scam congregants. This study contributes to developing more effective defences against cyber fraud in religious contexts by evaluating religious institutions' responses and mitigation techniques, as well as law enforcement. This project intends to develop more effective techniques for preventing and combating cyber-fraud against religious bodies through an in-depth examination.
This study evaluates the nature and extent of cybercrimes prevalent within higher learning institutions of South Africa. Cyber-attacks are growing at a distressing rate and has posed a serious challenge within academia by impacting and disrupting normal learning setting. Universities data infrastructure is vulnerable to criminals, can be compromised easily while students and staff are not alien to proportion of cybercrime impact inclusive of hacking, financial loss, bullying, illegal circulation of pornography, blackmailing’s, extortion and many other crimes. This case study evaluates student views about cybercrimes prevalent, causes, interrogated views about cybersecurity channels and impact of crimes at the University of Venda (Univen). Quantitative approach is applied, where snowballing sample procedure was utilised to quantitatively sample Univen students. The focus of this section, is Univen students, therefore 200 questionnaires were circulated amongst them to collect data. The research utilised the routine activities theory and differential association theory of crime as the study problem framework. Statistical Package for Social Sciences (SPSS) version 22 for quantitative data analysis is used to analyse data. The study uncovered depth of cybercrimes prevalent within Univen and extent of victimization and perpetration. It also exposes legal challenges hindering reporting or disclosure of violence suffered in online platforms. It makes recommendations that could be used to inform adoption of framework to manage cybercrimes within higher education institutions (HEI) of South Africa and to find alternatives programmes that will positively address cyber incidents within academia.
With the rapid advancement of information technology (IT), it increasingly becomes challenging to identify crimes devoid of a digital component. An increase in internet users correlates with a rising percentage of cybercriminals transitioning traditional crime to the online environment. It is essential to enhance the cybercrime preparedness of law enforcement agencies to effectively address and eliminate this issue. Cyber-attacks have adversely affected the escalating epidemic, necessitating effective solutions. This paper employs qualitative content analysis to examine the challenges and opportunities faced by the South African Police Service (SAPS) in addressing cybercrime. The objective is to propose strategies and methodologies for the establishment of robust professional institutions and the allocation of adequate resources to address cybercrime effectively. The findings indicate a relationship between organisational context, complexity, and control in the context of cybercrime response. Larger agencies, such as the SAPS, those whose officers perform more non-routine tasks, and agencies operating under an active collective bargaining agreement are more inclined to allocate specific resources to cybercrime. Agencies characterised by increased hierarchical layers, greater specialisation, and a higher reliance on civilian employees are more inclined to assign dedicated personnel to cybercrime efforts. This article is among the limited studies employing this framework to analyse the relationship between organisational characteristics and responses to cybercrime. This perspective is beneficial for analysing police organisations, policies, programs, and strategies.
The growing number of cybercriminals impersonating religious leaders and institutions for financial gain poses a serious threat to the integrity and economic security of religious groups, notably prominent Pentecostal ministries. This study thoroughly investigates and evaluates this phenomenon, focusing on cybercriminals' tactics, the scope of their actions, and the consequences for targeted religious communities and people. The study applies a complete desktop research technique to analyse hackers' use of religious leaders' identities for financial benefit, focusing on Pentecostal ministries. This strategy includes searching academic databases, reading cybersecurity and religious studies journals, and analysing documented cases. The findings show that cybercriminals are primarily driven by financial gain and use strategies including building phoney social media pages, phishing techniques, and compromising communication lines to impersonate religious groups and scam congregants. This study contributes to developing more effective defences against cyber fraud in religious contexts by evaluating religious institutions' responses and mitigation techniques, as well as law enforcement. This project intends to develop more effective techniques for preventing and combating cyber-fraud against religious bodies through an in-depth examination.
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 |