CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 21 Oct 2026, 00:14 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS52/2 with known counts
OPENALEX CITATIONS62/2 with known counts
OPENALEX MEAN3.0Per article with a known count
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topic: Criminal Justice and Corrections Analysis Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Moi University1University of Johannesburg12/2 records with data

Countries

Kenya1South Africa12/2 records with data

Primary topics

Criminal Justice and Corrections Analysis22/2 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 2/2 articles. Latest history observation: 2026-10-21T00:14:33.551315+00:00. Source totals are never added together.
Research side by side

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Display range
Bussecon Review of Social SciencesInternational Journal of Business Ecosystem & Strategy

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS5
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS2.5

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 00:14 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS6
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY3.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.0

Observation range: 21 Oct 2026 00:01 UTC — 21 Oct 2026 00:14 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Citation year / OpenAlex

Citations received over time

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 2 / 2 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): 2026-10-21T00:01:59.927752+00:00 — 2026-10-21T00:14:33.551315+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications022/2
2022All selected publications122/2
2023All selected publications022/2
2024All selected publications122/2
2025All selected publications222/2
2026All selected publications222/2

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean2.5
Median2.5
No citations01–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
Bussecon Review of Social Sciences
Bussecon International Academy
1441/14.04100.01/1 · 100.0%
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
1121/11.01100.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Coping mechanisms adopted by women ex-offenders in Nyeri County, Kenya

John Mbai Muthee

Bussecon Review of Social Sciences · 2020

Read abstract

Female offenders are distinctly different from male offenders, and present with their own gender-specific needs and issues both in and out of the correctional setting. Most approaches to Coping Mechanisms for female offenders are currently based on research involving males and approaches designed for males. Inquiry regarding the gender-specific needs of female inmates as they pertain to treatment, reentry programs, and Coping Mechanisms is necessary so professionals can better understand how to serve this population. This study investigated the Coping Mechanisms Adopted by Women ex-offenders in Nyeri County, Kenya. The study specifically investigated the effects of not addressing the challenges identified for women returning from prison in Nyeri County especially challenges connected to housing, employment, relationships, drug, and substance abuse as well as mental health after incarceration. This was a qualitative study adopting a phenomenological design. The site and respondents were purposively selected with snowballing being used to select the respondents to the point of saturation. This study made use of 41 women ex-convicts, 3 FGDs, and 9 key informants. Data were collected by the use of semi-structured interview schedules. Results indicated that currently, prison is negatively viewed by the community; this is primarily because of the isolation of prisoners and whatever happens behind the bars. The government should involve other sectors such as the churches, the media, schools, and Non- Governmental Organizations in educating the masses in order to ease the re-entry of ex-convicts

DOI 10.36096/brss.v2i2.1984 Crossref citations4 OpenAlex citations
JOURNAL ARTICLE

Smarter corrections and intelligence-driven innovations in correctional services in contemporary society

Chiji Longinus Ezeji

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The mandate of correctional services is to uphold and advance a just, peaceful, and secure society by ensuring that the corrections environment is secure, safe, and humane, while ideally rehabilitating criminals to minimise their probability of re-offending. Realising these objectives necessitates a shift from the traditional correctional system to a digital, intelligent, and data-driven approach, encompassing the gathering and analysis of information within correctional facilities to identify and mitigate hazards. Intelligence-driven corrections deploy correctional intelligence, data analysis, specialized software, and databases for mapping complicated relationships, assessing forensic evidence, and exchanging information across jurisdictions. They apply data analytics to foresee prospective dangers, such as the likelihood of violence, contraband introduction, or jail riots. The research examines enhanced corrections and intelligence-based advances in modern correctional services. A mixed-method approach was utilised, integrating qualitative and quantitative designs. Interviews, surveys, and secondary data were employed. The research indicated that more intelligent corrections utilise technology and data to oversee inmates, personnel, and visitors, minimise expenses, and enhance public safety and security. Intelligence-driven corrections utilise gathered and analysed intelligence to guide decision-making and resource distribution within correctional facilities, hence improving safety and security by recognising dangers and thwarting criminal activity. Digital technologies improve offender management, security, safety, surveillance, and efficiency through the use of biometrics, facial recognition, artificial intelligence, data analytics, robotics, and drone detection. Artificial intelligence in correctional services improves safety through real-time behaviour surveillance and incident identification, enhances efficiency by automating administrative functions, and offers personalised rehabilitation through customised educational and mental health initiatives, ultimately seeking to diminish recidivism. Blockchain technology in correctional systems provides improved security, transparency, and efficiency, especially in monitoring inmate movements and preserving the integrity of evidence. Evidence-based risk assessment facilitates tailored rehabilitation programs that aid in crime reduction. The study advocated for the adoption and implementation of advanced correction methods, intelligence-driven strategies, technological innovations, and digital devices to improve safety and security in South Africa, other African countries, and worldwide.

DOI 10.36096/ijbes.v7i6.10361 Crossref citations2 OpenAlex citations

Selected results

JOURNAL ARTICLE

Smarter corrections and intelligence-driven innovations in correctional services in contemporary society

Chiji Longinus Ezeji

International Journal of Business Ecosystem & Strategy · 2026

Read abstract

The mandate of correctional services is to uphold and advance a just, peaceful, and secure society by ensuring that the corrections environment is secure, safe, and humane, while ideally rehabilitating criminals to minimise their probability of re-offending. Realising these objectives necessitates a shift from the traditional correctional system to a digital, intelligent, and data-driven approach, encompassing the gathering and analysis of information within correctional facilities to identify and mitigate hazards. Intelligence-driven corrections deploy correctional intelligence, data analysis, specialized software, and databases for mapping complicated relationships, assessing forensic evidence, and exchanging information across jurisdictions. They apply data analytics to foresee prospective dangers, such as the likelihood of violence, contraband introduction, or jail riots. The research examines enhanced corrections and intelligence-based advances in modern correctional services. A mixed-method approach was utilised, integrating qualitative and quantitative designs. Interviews, surveys, and secondary data were employed. The research indicated that more intelligent corrections utilise technology and data to oversee inmates, personnel, and visitors, minimise expenses, and enhance public safety and security. Intelligence-driven corrections utilise gathered and analysed intelligence to guide decision-making and resource distribution within correctional facilities, hence improving safety and security by recognising dangers and thwarting criminal activity. Digital technologies improve offender management, security, safety, surveillance, and efficiency through the use of biometrics, facial recognition, artificial intelligence, data analytics, robotics, and drone detection. Artificial intelligence in correctional services improves safety through real-time behaviour surveillance and incident identification, enhances efficiency by automating administrative functions, and offers personalised rehabilitation through customised educational and mental health initiatives, ultimately seeking to diminish recidivism. Blockchain technology in correctional systems provides improved security, transparency, and efficiency, especially in monitoring inmate movements and preserving the integrity of evidence. Evidence-based risk assessment facilitates tailored rehabilitation programs that aid in crime reduction. The study advocated for the adoption and implementation of advanced correction methods, intelligence-driven strategies, technological innovations, and digital devices to improve safety and security in South Africa, other African countries, and worldwide.

DOI 10.36096/ijbes.v7i6.10361 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Coping mechanisms adopted by women ex-offenders in Nyeri County, Kenya

John Mbai Muthee

Bussecon Review of Social Sciences · 2020

Read abstract

Female offenders are distinctly different from male offenders, and present with their own gender-specific needs and issues both in and out of the correctional setting. Most approaches to Coping Mechanisms for female offenders are currently based on research involving males and approaches designed for males. Inquiry regarding the gender-specific needs of female inmates as they pertain to treatment, reentry programs, and Coping Mechanisms is necessary so professionals can better understand how to serve this population. This study investigated the Coping Mechanisms Adopted by Women ex-offenders in Nyeri County, Kenya. The study specifically investigated the effects of not addressing the challenges identified for women returning from prison in Nyeri County especially challenges connected to housing, employment, relationships, drug, and substance abuse as well as mental health after incarceration. This was a qualitative study adopting a phenomenological design. The site and respondents were purposively selected with snowballing being used to select the respondents to the point of saturation. This study made use of 41 women ex-convicts, 3 FGDs, and 9 key informants. Data were collected by the use of semi-structured interview schedules. Results indicated that currently, prison is negatively viewed by the community; this is primarily because of the isolation of prisoners and whatever happens behind the bars. The government should involve other sectors such as the churches, the media, schools, and Non- Governmental Organizations in educating the masses in order to ease the re-entry of ex-convicts

DOI 10.36096/brss.v2i2.1984 Crossref citations4 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:14 UTC
ojs-rest21 Oct 2026 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:02 UTC
oai-pmh20 Oct 2026 19:50 UTC · brsscomplete · brss · 20 Oct 2026 19:49 UTC
openalex-enrichment21 Oct 2026 00:14 UTC · ijbescomplete · ijbes · 21 Oct 2026 00:14 UTC
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