CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

Compare journals ↗
OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 21 Oct 2026, 07:23 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS42/2 with known counts
OPENALEX CITATIONS42/2 with known counts
OPENALEX MEAN2.0Per article with a known count
Explore articles 2 →
Filter collection Publication years, search & more
Reset
topic: Advanced Manufacturing and Logistics Optimization Remove ×
Your research collection

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.

View data & coverage

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Vaal University of Technology1University of KwaZulu-Natal12/2 records with data

Countries

South Africa22/2 records with data

Primary topics

Advanced Manufacturing and Logistics Optimization22/2 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: 2026-10-21T07:23:00.749915+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 CITATIONS4
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS2.0

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 CITATIONS4
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY2.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2.0

Observation range: 21 Oct 2026 07:22 UTC — 21 Oct 2026 07:23 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): 2026-10-21T07:22:54.129560+00:00 — 2026-10-21T07:23:00.749915+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: 1 · 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 publications122/2
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.

Mean2.0
Median2.0
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
2442/22.02.0100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Revitalizing warehouse management to enhance global manufacturing competitiveness: insights from South Africa

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2024

Read abstract

Company operations and global trade necessitate storage. Warehouse management is essential for meeting customer expectations, ensuring product availability, and delivering globally swiftly and affordably. A company's international competitiveness can suffer from warehouse instability. This study assesses warehouse performance for competitive advantage. The report also explores top management's disregard for warehouse management's impact on manufacturing competitiveness. This paper reviews warehouse management system research from several industries. Reviewing literature for gaps and flaws. Quantitative methods include industrial specialized surveys. Three varied South African manufacturing enterprises will be case-studied. Deduction is used to analyze industry expert consultation data. Due to its accessibility and data collection suitability, convenience sampling was employed to choose participants. This study discovered many warehouse management issues in South African industrial firms. Integration and automation are lacking in current systems, hampering global competitiveness. Warehouse movements and infrastructure damage increased without zone selection. Technology-illiterate warehouse workers slowed operations. The study offers zone picking, warehouse training, and warehouse system integration and automation to address these difficulties. South African industrial firms should strengthen warehouse management systems, according to this study. These organizations can enhance operational efficiency, save money, and compete globally with the suggested changes. Zone picking, warehouse system integration, and worker technical training can alleviate challenges and provide companies an edge. This study highlights warehouse management's often overlooked significance in manufacturing competitiveness. International organizations can do better by studying warehouse management system problems and solutions. Practical warehouse management advice from this study increases South African industry competitiveness.

DOI 10.20525/ijrbs.v13i1.30303 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Impact of automated picking systems on operational efficiency in South Africa’s manufacturing warehouses

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2025

Read abstract

The study seeks to examine the determinants affecting warehouse performance, emphasising the impact of warehouse management systems on improving the worldwide competitiveness of South African steel manufacturing firms. It aims to underscore the difficulties in existing procedures and the strategic significance of proficient warehouse management. The study utilised a qualitative methodology to examine warehouse management methods in South African steel manufacturing firms. Data was gathered via structured interviews and questionnaires to ascertain current management system frameworks, picking methodologies, and the incorporation of automated solutions. The results indicate that the majority of South African steel manufacturers employ non-automated and non-integrated warehouse management systems. A notable deficiency in formal picking systems and zone picking was seen, leading to inefficient operations, excessive moves, and a failure to attain a competitive advantage in the worldwide market. The report emphasises a widespread undervaluation of warehouse management's strategic importance by senior management in enhancing manufacturing competitiveness. This report emphasises the necessity for South African steel manufacturing firms to implement integrated and automated warehouse management systems to optimise processes and improve global competitiveness. The enhancement of warehouse operations, particularly through the adoption of formal picking methods, could markedly diminish operational inefficiencies and elevate consumer satisfaction. This study offers significant insights into the constraints of existing warehouse management procedures in South Africa's steel manufacturing industry. By pinpointing particular obstacles and opportunities for enhancement, it provides actionable recommendations for utilising warehouse management as a competitive edge in the global marketplace.

DOI 10.20525/ijrbs.v14i3.38531 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Impact of automated picking systems on operational efficiency in South Africa’s manufacturing warehouses

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2025

Read abstract

The study seeks to examine the determinants affecting warehouse performance, emphasising the impact of warehouse management systems on improving the worldwide competitiveness of South African steel manufacturing firms. It aims to underscore the difficulties in existing procedures and the strategic significance of proficient warehouse management. The study utilised a qualitative methodology to examine warehouse management methods in South African steel manufacturing firms. Data was gathered via structured interviews and questionnaires to ascertain current management system frameworks, picking methodologies, and the incorporation of automated solutions. The results indicate that the majority of South African steel manufacturers employ non-automated and non-integrated warehouse management systems. A notable deficiency in formal picking systems and zone picking was seen, leading to inefficient operations, excessive moves, and a failure to attain a competitive advantage in the worldwide market. The report emphasises a widespread undervaluation of warehouse management's strategic importance by senior management in enhancing manufacturing competitiveness. This report emphasises the necessity for South African steel manufacturing firms to implement integrated and automated warehouse management systems to optimise processes and improve global competitiveness. The enhancement of warehouse operations, particularly through the adoption of formal picking methods, could markedly diminish operational inefficiencies and elevate consumer satisfaction. This study offers significant insights into the constraints of existing warehouse management procedures in South Africa's steel manufacturing industry. By pinpointing particular obstacles and opportunities for enhancement, it provides actionable recommendations for utilising warehouse management as a competitive edge in the global marketplace.

DOI 10.20525/ijrbs.v14i3.38531 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Revitalizing warehouse management to enhance global manufacturing competitiveness: insights from South Africa

Tshepo Mabotja

International Journal of Research in Business and Social Science · 2024

Read abstract

Company operations and global trade necessitate storage. Warehouse management is essential for meeting customer expectations, ensuring product availability, and delivering globally swiftly and affordably. A company's international competitiveness can suffer from warehouse instability. This study assesses warehouse performance for competitive advantage. The report also explores top management's disregard for warehouse management's impact on manufacturing competitiveness. This paper reviews warehouse management system research from several industries. Reviewing literature for gaps and flaws. Quantitative methods include industrial specialized surveys. Three varied South African manufacturing enterprises will be case-studied. Deduction is used to analyze industry expert consultation data. Due to its accessibility and data collection suitability, convenience sampling was employed to choose participants. This study discovered many warehouse management issues in South African industrial firms. Integration and automation are lacking in current systems, hampering global competitiveness. Warehouse movements and infrastructure damage increased without zone selection. Technology-illiterate warehouse workers slowed operations. The study offers zone picking, warehouse training, and warehouse system integration and automation to address these difficulties. South African industrial firms should strengthen warehouse management systems, according to this study. These organizations can enhance operational efficiency, save money, and compete globally with the suggested changes. Zone picking, warehouse system integration, and worker technical training can alleviate challenges and provide companies an edge. This study highlights warehouse management's often overlooked significance in manufacturing competitiveness. International organizations can do better by studying warehouse management system problems and solutions. Practical warehouse management advice from this study increases South African industry competitiveness.

DOI 10.20525/ijrbs.v13i1.30303 Crossref citations3 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
Full import history & methodology →