CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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, 07:22 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS22/2 with known counts
OPENALEX CITATIONS32/2 with known counts
OPENALEX MEAN1.5Per article with a known count
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topic: Crime Patterns and Interventions 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

University of South Africa1University of Venda12/2 records with data

Countries

South Africa22/2 records with data

Primary topics

Crime Patterns and Interventions22/2 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.

View data & coverage

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: 2026-10-21T07:22:55.691375+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

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 CITATIONS2
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS1.0

Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 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 CITATIONS3
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY1.52 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.5

Observation range: 21 Oct 2026 07:22 UTC — 21 Oct 2026 07:22 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): 2026-10-21T07:22:54.950919+00:00 — 2026-10-21T07:22:55.691375+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: 0 · 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: 0 · 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 publications022/2
2023All selected publications022/2
2024All selected publications122/2
2025All selected publications022/2
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.

Mean1.0
Median1.0
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
International Journal of Research in Business and Social Science
SSBFNET
2232/21.01.0100.02/2 · 100.0%

* Percentage among publications with a known citation count.

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View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Factors with significance on vandalism of on-farm infrastructure at the Musekwa Valley, Vhembe District of Limpopo Province, South Africa

Mavhungu Abel Mafukata · Modise Moseki · Aneesah Khan

International Journal of Research in Business and Social Science · 2024

Read abstract

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.

DOI 10.20525/ijrbs.v13i4.33001 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Family factors contributing to high school crime at Nzhelele East Circuit, Vhembe District

Recheal Nthangeni Mathungeni

International Journal of Research in Business and Social Science · 2024

Read abstract

Crime in high schools has become a major concern all over the world. High schools in Nzhelele East Circuit, Vhembe District, Limpopo Province, South Africa also experience waves of youth crime perpetrated by learners. The aim of this study was to explore family factors which contribute to youth crime amongst learners in high schools in Nzhelele East Circuit. Three high schools (i.e. Mushaathoni, Nndweleni and Mphephu) known for high rate of crime were selected. Quantitative research approach was used. Survey questionnaires were administered among learners in order to collect quantitative data. Stratified random sampling was used to survey 40 grade 10 and 40 grade 11 learners from each of the three high schools. In total, 240 learners participated in this study. Data was analyzed using the SPSS instrument. Appropriate ethical principals were applied to ensure that research participants were not harmed. The study found that youth crime in high schools was attributed to family factors such as absence of parents, poor parenting style, abuse and domestic violence, poverty, divorce, single parenting and family size. The study recommended the need for a multi-pronged strategy through mobilization of relevant stakeholders (families, community leaders, education authorities, law enforcement agencies and other relevant government department to curb youth crime in high schools. Key words: Crime, Learners, Bullying; Offenders; Victims; Violence; Youth crime, High school

DOI 10.20525/ijrbs.v13i3.32201 Crossref citations2 OpenAlex citations

Selected results

JOURNAL ARTICLE

Factors with significance on vandalism of on-farm infrastructure at the Musekwa Valley, Vhembe District of Limpopo Province, South Africa

Mavhungu Abel Mafukata · Modise Moseki · Aneesah Khan

International Journal of Research in Business and Social Science · 2024

Read abstract

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.

DOI 10.20525/ijrbs.v13i4.33001 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Family factors contributing to high school crime at Nzhelele East Circuit, Vhembe District

Recheal Nthangeni Mathungeni

International Journal of Research in Business and Social Science · 2024

Read abstract

Crime in high schools has become a major concern all over the world. High schools in Nzhelele East Circuit, Vhembe District, Limpopo Province, South Africa also experience waves of youth crime perpetrated by learners. The aim of this study was to explore family factors which contribute to youth crime amongst learners in high schools in Nzhelele East Circuit. Three high schools (i.e. Mushaathoni, Nndweleni and Mphephu) known for high rate of crime were selected. Quantitative research approach was used. Survey questionnaires were administered among learners in order to collect quantitative data. Stratified random sampling was used to survey 40 grade 10 and 40 grade 11 learners from each of the three high schools. In total, 240 learners participated in this study. Data was analyzed using the SPSS instrument. Appropriate ethical principals were applied to ensure that research participants were not harmed. The study found that youth crime in high schools was attributed to family factors such as absence of parents, poor parenting style, abuse and domestic violence, poverty, divorce, single parenting and family size. The study recommended the need for a multi-pronged strategy through mobilization of relevant stakeholders (families, community leaders, education authorities, law enforcement agencies and other relevant government department to curb youth crime in high schools. Key words: Crime, Learners, Bullying; Offenders; Victims; Violence; Youth crime, High school

DOI 10.20525/ijrbs.v13i3.32201 Crossref citations2 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 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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