CiteNScope — Scholarly Index & Analytics
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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 22 Oct 2026, 01:30 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS132/2 with known counts
OPENALEX CITATIONS142/2 with known counts
OPENALEX MEAN7.0Per article with a known count
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topic: Traffic and Road Safety 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

Tshwane University of Technology11/2 records with data

Countries

South Africa11/2 records with data

Primary topics

Traffic and Road Safety22/2 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: 2026-10-22T01:30:35.305521+00:00. Source totals are never added together.
Research side by side

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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 CITATIONS13
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS6.5

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 CITATIONS14
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY7.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY7.0

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:30 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–516–20121+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

1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.

Countries

1 / 2 with data · 1 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): 2026-10-21T07:22:43.097565+00:00 — 2026-10-22T01:30:35.305521+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 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: 3 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 3 · 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: 5 · 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 publications322/2
2024All selected publications322/2
2025All selected publications222/2
2026All selected publications522/2

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.

Mean6.5
Median6.5
No citations01–516–20121+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
213142/26.56.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Analysing factors contributing to road traffic accidents in South Africa

Mmakwena Modipa

International Journal of Research in Business and Social Science · 2022

Read abstract

Road Traffic accidents is a major problem worldwide even in South Africa is a leading killer on the road. Human factor is a main contributory factor to fatalities on the road as many road users are not adhering to the rules of the road. The inability of road users to understand and interpret the rules of the road is a major problem on South African roads. This article focus on preventive measures to curb factors contributing to road traffic accidents in South Africa. The article is based on a qualitatively rooted methodology including a wide range of primary and secondary sources such as documents from Road Traffic Management Corporation, academic books, articles, dissertations, thesis and reports from non-governmental organisations focusing on road safety. The article further draws on the findings from the world on road safety and formulate steps to counteract road traffic accidents in South Africa. Awareness of road safety play a critical component in changing the behaviour of the road users other than just focusing on reducing road traffic accidents. The research based key steps leading to the prevention of road traffic accidents. The first step related to increasing law enforcement officials on the road; awareness campaigns to change the behaviour of road users; capacitate law enforcement agencies with resources to address non-compliance on the road; provide anti- corruption strategies in the law enforcement agencies.

DOI 10.20525/ijrbs.v11i4.171512 Crossref citations13 OpenAlex citations
JOURNAL ARTICLE

An exploratory study of a law enforcement model for vehicle speed in Tshwane Metropolitan Municipality, South Africa

Makalo E. Taumang · Paul O. Bello · Adewale A. Olutola

International Journal of Research in Business and Social Science · 2022

Read abstract

This study explores the law enforcement model for vehicle speed in Tshwane municipality of South Africa.  South Africa has comparatively high road traffic crashes and casualty rates. Most of these crashes are associated with illegal speeding. This study was designed against the background of protracted road traffic crashes the triple causative factors as well as existing traffic law enforcement systems and processes aimed at managing illegal speeding. Data were collected from a sample of 28 senior law enforcement officials from the Tshwane Metropolitan Police Department (TMPD) traffic division, the Gauteng Traffic Police and the National Traffic Police. Qualitative data were analysed using thematic analysis’ open and axial coding processes on Atlas.ti.8. In its findings, the study developed a model that shows that illegal speeding and consequential road crashes were caused by an interaction of multiple factors. These were poor human behavioural elements as the main factor, road-environment factors and vehicle-related factors in the presence of inadequate and uncoordinated traffic law enforcement, weak penal systems for offenders, corruption, poor driver training and low road safety education.

DOI 10.20525/ijrbs.v11i6.19701 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

An exploratory study of a law enforcement model for vehicle speed in Tshwane Metropolitan Municipality, South Africa

Makalo E. Taumang · Paul O. Bello · Adewale A. Olutola

International Journal of Research in Business and Social Science · 2022

Read abstract

This study explores the law enforcement model for vehicle speed in Tshwane municipality of South Africa.  South Africa has comparatively high road traffic crashes and casualty rates. Most of these crashes are associated with illegal speeding. This study was designed against the background of protracted road traffic crashes the triple causative factors as well as existing traffic law enforcement systems and processes aimed at managing illegal speeding. Data were collected from a sample of 28 senior law enforcement officials from the Tshwane Metropolitan Police Department (TMPD) traffic division, the Gauteng Traffic Police and the National Traffic Police. Qualitative data were analysed using thematic analysis’ open and axial coding processes on Atlas.ti.8. In its findings, the study developed a model that shows that illegal speeding and consequential road crashes were caused by an interaction of multiple factors. These were poor human behavioural elements as the main factor, road-environment factors and vehicle-related factors in the presence of inadequate and uncoordinated traffic law enforcement, weak penal systems for offenders, corruption, poor driver training and low road safety education.

DOI 10.20525/ijrbs.v11i6.19701 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Analysing factors contributing to road traffic accidents in South Africa

Mmakwena Modipa

International Journal of Research in Business and Social Science · 2022

Read abstract

Road Traffic accidents is a major problem worldwide even in South Africa is a leading killer on the road. Human factor is a main contributory factor to fatalities on the road as many road users are not adhering to the rules of the road. The inability of road users to understand and interpret the rules of the road is a major problem on South African roads. This article focus on preventive measures to curb factors contributing to road traffic accidents in South Africa. The article is based on a qualitatively rooted methodology including a wide range of primary and secondary sources such as documents from Road Traffic Management Corporation, academic books, articles, dissertations, thesis and reports from non-governmental organisations focusing on road safety. The article further draws on the findings from the world on road safety and formulate steps to counteract road traffic accidents in South Africa. Awareness of road safety play a critical component in changing the behaviour of the road users other than just focusing on reducing road traffic accidents. The research based key steps leading to the prevention of road traffic accidents. The first step related to increasing law enforcement officials on the road; awareness campaigns to change the behaviour of road users; capacitate law enforcement agencies with resources to address non-compliance on the road; provide anti- corruption strategies in the law enforcement agencies.

DOI 10.20525/ijrbs.v11i4.171512 Crossref citations13 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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