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, 00:14 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 01:05 UTC — 22 Oct 2026 06:03 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 | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2025 | All selected publications | 3 | 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): 2026-10-22T01:05:37.472866+00:00 — 2026-10-22T06:03:49.743423+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 | 1 | 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 | 3 | 3 | 3 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
Unemployment and crime are complex socio-economic problem in South Africa that attracts excessive attention from researchers because they are crucial issues worldwide. Since 1990, unemployment has been a problem, and this escalated after the end of apartheid. This occurred due to South Africa’s economic struggles with low growth. Long-term unemployment is linked to frustration, alienation, and breakdowns in social cohesion, primary in poorer communities. This social strain fosters criminal behaviour largely because such individuals exert power or generate much-needed cash from these illegal activities. By virtue of the lack of formal avenues of employment, these people are thus easily recruited through criminal networks or gangs that offer money and social identity for illegal activities. This study aims to evaluate and analyse the impact of unemployment in instigating crime in South Africa. The problem the researcher is addressing results from the alarming increase in youth unemployment and its assumed link to criminal activities, especially in underdeveloped or rural areas in South Africa. The study adopted a mixed research methods approach. A purposive sampling and cluster sampling were used to select participants. The researchers used semi-structured interviews and questionnaires to collect data. Qualitative data was analysed using thematic analysis and quantitative data was analysed using Statistical Package for Social Sciences (SPSS). It is envisaged that findings of this study may be used in the design and implementation of strategies and programmes to reduce unemployment and crime in South Africa. Further, the researcher makes some recommendations pertaining to addressing and reducing the high rate of youth unemployment and crime.
The study investigates the nexus between income inequality and crime in the two provinces of Eastern Cape and KwaZulu-Natal in South Africa. The study adopted a qualitative research approach, which combines both primary and secondary data sources, including interviews with nine participants and consultation with academic journals, monographs and reports, respectively. Thematic data analysis was utilised to analyse the participants' insights. The theoretical frameworks are relative deprivation theory and economic theory of crime. Inequality breeds social jealousy in societies and seemingly culminates in crime. The findings of this study revealed that the country’s history coated in apartheid and other factors are responsible for the high income inequality in South Africa, which in turn is a major factor influencing crime in the country. It recommended that through good leadership by the political class, objective anti-corruption drive and provision of infrastructure, the private sector would thrive so that they can provide more jobs. The study also recommended that good education and skill acquisition to promote the entrepreneurship capacity and employability of youths should be promoted.
Assessing risk factors for juvenile delinquency necessitates a holistic approach, taking into account individual, familial, societal, and communal influences. Risk factors are conditions or attributes that may elevate the probability of adverse outcomes or behaviours in adolescents. These elements may include multiple dimensions of a young individual's life, such as personal, familial, peer, educational, and communal influences. Globally, crime persists as a pressing issue, predominantly involving youngsters in offences such as cybercrime, robbery, theft, shoplifting, substance misuse, cash-in-transit heists, violent crimes, abduction, kidnapping, gang-related activities, cultism, and ritual killings. It is imperative to confront the prevailing trend of juvenile criminal actions inside society. This article analyses risk variables associated with juvenile criminal behaviour and the responses of the criminal justice system and its stakeholders. The research employed a mixed-methods approach, incorporating in-person interviews and surveys for data acquisition. Research identifies determinants of criminal behaviour, including low self-control, impulsivity, and substance abuse. Family-related factors encompass parental neglect, maltreatment, and inadequate support. Social factors involve associations with delinquent peers, poverty, and discrimination. A correlation exists between drug, alcohol, and substance abuse and criminal behaviour among youth. Parental indifference may impact youth decision-making. Some young offenders are incarcerated in correctional facilities, while others participate in rehabilitation through diversion programs. The findings highlight the necessity for cohesive treatments involving family, community, and institutions, prioritising mental health support and restorative justice to diminish youth recidivism. The study advocates for the active involvement of stakeholders, including non-governmental organisations and rehabilitation centres. It emphasises the necessity for vigilant supervision and monitoring of youth by parents, guardians, family members, communities, institutions, and the criminal justice system to proactively prevent access to drugs and substances that incite violence and criminal behaviour. Furthermore, it underscores the importance of integrating family, community, and institutional interventions, mental health support, and restorative justice to mitigate youth recidivism. Additionally, it calls for the regular monitoring of youth mental health and the provision of effective interventions such as rehabilitation, youth crime prevention, treatment, and morality regeneration programs.
Assessing risk factors for juvenile delinquency necessitates a holistic approach, taking into account individual, familial, societal, and communal influences. Risk factors are conditions or attributes that may elevate the probability of adverse outcomes or behaviours in adolescents. These elements may include multiple dimensions of a young individual's life, such as personal, familial, peer, educational, and communal influences. Globally, crime persists as a pressing issue, predominantly involving youngsters in offences such as cybercrime, robbery, theft, shoplifting, substance misuse, cash-in-transit heists, violent crimes, abduction, kidnapping, gang-related activities, cultism, and ritual killings. It is imperative to confront the prevailing trend of juvenile criminal actions inside society. This article analyses risk variables associated with juvenile criminal behaviour and the responses of the criminal justice system and its stakeholders. The research employed a mixed-methods approach, incorporating in-person interviews and surveys for data acquisition. Research identifies determinants of criminal behaviour, including low self-control, impulsivity, and substance abuse. Family-related factors encompass parental neglect, maltreatment, and inadequate support. Social factors involve associations with delinquent peers, poverty, and discrimination. A correlation exists between drug, alcohol, and substance abuse and criminal behaviour among youth. Parental indifference may impact youth decision-making. Some young offenders are incarcerated in correctional facilities, while others participate in rehabilitation through diversion programs. The findings highlight the necessity for cohesive treatments involving family, community, and institutions, prioritising mental health support and restorative justice to diminish youth recidivism. The study advocates for the active involvement of stakeholders, including non-governmental organisations and rehabilitation centres. It emphasises the necessity for vigilant supervision and monitoring of youth by parents, guardians, family members, communities, institutions, and the criminal justice system to proactively prevent access to drugs and substances that incite violence and criminal behaviour. Furthermore, it underscores the importance of integrating family, community, and institutional interventions, mental health support, and restorative justice to mitigate youth recidivism. Additionally, it calls for the regular monitoring of youth mental health and the provision of effective interventions such as rehabilitation, youth crime prevention, treatment, and morality regeneration programs.
Unemployment and crime are complex socio-economic problem in South Africa that attracts excessive attention from researchers because they are crucial issues worldwide. Since 1990, unemployment has been a problem, and this escalated after the end of apartheid. This occurred due to South Africa’s economic struggles with low growth. Long-term unemployment is linked to frustration, alienation, and breakdowns in social cohesion, primary in poorer communities. This social strain fosters criminal behaviour largely because such individuals exert power or generate much-needed cash from these illegal activities. By virtue of the lack of formal avenues of employment, these people are thus easily recruited through criminal networks or gangs that offer money and social identity for illegal activities. This study aims to evaluate and analyse the impact of unemployment in instigating crime in South Africa. The problem the researcher is addressing results from the alarming increase in youth unemployment and its assumed link to criminal activities, especially in underdeveloped or rural areas in South Africa. The study adopted a mixed research methods approach. A purposive sampling and cluster sampling were used to select participants. The researchers used semi-structured interviews and questionnaires to collect data. Qualitative data was analysed using thematic analysis and quantitative data was analysed using Statistical Package for Social Sciences (SPSS). It is envisaged that findings of this study may be used in the design and implementation of strategies and programmes to reduce unemployment and crime in South Africa. Further, the researcher makes some recommendations pertaining to addressing and reducing the high rate of youth unemployment and crime.
The study investigates the nexus between income inequality and crime in the two provinces of Eastern Cape and KwaZulu-Natal in South Africa. The study adopted a qualitative research approach, which combines both primary and secondary data sources, including interviews with nine participants and consultation with academic journals, monographs and reports, respectively. Thematic data analysis was utilised to analyse the participants' insights. The theoretical frameworks are relative deprivation theory and economic theory of crime. Inequality breeds social jealousy in societies and seemingly culminates in crime. The findings of this study revealed that the country’s history coated in apartheid and other factors are responsible for the high income inequality in South Africa, which in turn is a major factor influencing crime in the country. It recommended that through good leadership by the political class, objective anti-corruption drive and provision of infrastructure, the private sector would thrive so that they can provide more jobs. The study also recommended that good education and skill acquisition to promote the entrepreneurship capacity and employability of youths should be promoted.
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 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |
| ojs-rest | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:02 UTC |
| oai-pmh | 20 Oct 2026 19:49 UTC · ijbes | complete · ijbes · 20 Oct 2026 19:48 UTC |
| openalex-enrichment | 21 Oct 2026 00:14 UTC · ijbes | complete · ijbes · 21 Oct 2026 00:14 UTC |