Boitumelo Ramatsetse

785 total citations · 1 hit paper
38 papers, 400 citations indexed

About

Boitumelo Ramatsetse is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Boitumelo Ramatsetse has authored 38 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Industrial and Manufacturing Engineering, 17 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Boitumelo Ramatsetse's work include Manufacturing Process and Optimization (15 papers), Flexible and Reconfigurable Manufacturing Systems (8 papers) and Advanced machining processes and optimization (6 papers). Boitumelo Ramatsetse is often cited by papers focused on Manufacturing Process and Optimization (15 papers), Flexible and Reconfigurable Manufacturing Systems (8 papers) and Advanced machining processes and optimization (6 papers). Boitumelo Ramatsetse collaborates with scholars based in South Africa, Nigeria and China. Boitumelo Ramatsetse's co-authors include Khumbulani Mpofu, Ilesanmi Daniyan, Reuben Dlamini, Adefemi Adeodu, Munish Kumar Gupta, Bo Wang, Dawood Desai, Charles Mbohwa, Jun Mei and Junhao Hu and has published in prestigious journals such as Heliyon, International Journal of Mineral Processing and ISA Transactions.

In The Last Decade

Boitumelo Ramatsetse

35 papers receiving 386 citations

Hit Papers

Challenges, opportunities, and prospects of adopting and ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Boitumelo Ramatsetse South Africa 10 136 79 78 44 37 38 400
Cameron J. Turner United States 13 171 1.3× 56 0.7× 105 1.3× 30 0.7× 31 0.8× 95 470
Deba Dutta United States 8 74 0.5× 17 0.2× 176 2.3× 51 1.2× 37 1.0× 12 387
Kalpesh D. Maniya India 9 142 1.0× 55 0.7× 120 1.5× 9 0.2× 23 0.6× 14 560
Magnus Karlberg Sweden 11 73 0.5× 39 0.5× 100 1.3× 5 0.1× 17 0.5× 55 366
Qingnian Wang China 15 121 0.9× 140 1.8× 30 0.4× 86 2.0× 64 1.7× 109 865
Shwetank Avikal India 14 74 0.5× 35 0.4× 222 2.8× 23 0.5× 14 0.4× 51 714
Wu Zhao China 13 201 1.5× 42 0.5× 102 1.3× 6 0.1× 13 0.4× 60 552
M.G. Bhatt India 7 92 0.7× 57 0.7× 113 1.4× 8 0.2× 21 0.6× 12 522
Tatjana Šibalija Serbia 15 305 2.2× 34 0.4× 166 2.1× 107 2.4× 19 0.5× 28 586
Burak Birgören Türkiye 11 212 1.6× 62 0.8× 95 1.2× 3 0.1× 23 0.6× 37 523

Countries citing papers authored by Boitumelo Ramatsetse

Since Specialization
Citations

This map shows the geographic impact of Boitumelo Ramatsetse's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Boitumelo Ramatsetse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boitumelo Ramatsetse more than expected).

Fields of papers citing papers by Boitumelo Ramatsetse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Boitumelo Ramatsetse. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Boitumelo Ramatsetse. The network helps show where Boitumelo Ramatsetse may publish in the future.

Co-authorship network of co-authors of Boitumelo Ramatsetse

This figure shows the co-authorship network connecting the top 25 collaborators of Boitumelo Ramatsetse. A scholar is included among the top collaborators of Boitumelo Ramatsetse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Boitumelo Ramatsetse. Boitumelo Ramatsetse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Alaka, Hafiz, et al.. (2025). Developing reliability centered maintenance in automotive robotic welding machines for a tier 1 supplier. Frontiers in Robotics and AI. 12. 1620370–1620370.
2.
Mpofu, Khumbulani, et al.. (2023). Training in an immersive virtual work integrated learning factory: A case of manufacturing an assembly rail support bracket. SSRN Electronic Journal. 1 indexed citations
3.
Ramatsetse, Boitumelo, et al.. (2023). Challenges, opportunities, and prospects of adopting and using smart digital technologies in learning environments: An iterative review. Heliyon. 9(6). e16348–e16348. 80 indexed citations breakdown →
5.
Daniyan, Ilesanmi, et al.. (2022). An abaqus-based 3D computer aided design, modelling and simulation of the end-milling operation of stainless steel 301. Procedia CIRP. 112. 298–303. 3 indexed citations
6.
Hu, Junhao, et al.. (2022). Optimal guaranteed cost intermittent control to the efficient movement of freight trains. ISA Transactions. 130. 235–252. 13 indexed citations
7.
Mpofu, Khumbulani, et al.. (2022). Investigating the heat distribution on welded parts from a TIG welding operation in a railcar manufacturing environment. Cogent Engineering. 9(1). 1 indexed citations
8.
Daniyan, Ilesanmi, Khumbulani Mpofu, Isaac Tlhabadira, & Boitumelo Ramatsetse. (2021). Process Design for Milling Operation of Titanium Alloy (Ti6Al4V) Using Artificial Neural Network. International Journal of Mechanical Engineering and Robotics Research. 601–611. 8 indexed citations
9.
10.
Daniyan, Ilesanmi, Khumbulani Mpofu, Boitumelo Ramatsetse, & Munish Kumar Gupta. (2021). Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions. Heliyon. 7(4). e06790–e06790. 18 indexed citations
11.
Daniyan, Ilesanmi, Khumbulani Mpofu, Boitumelo Ramatsetse, & Adefemi Adeodu. (2020). Design and simulation of a robotic arm for manufacturing operations in the railcar industry. Procedia Manufacturing. 51. 67–72. 8 indexed citations
12.
Daniyan, Ilesanmi, Khumbulani Mpofu, & Boitumelo Ramatsetse. (2020). The use of Analytical Hierarchy Process (AHP) decision model for materials and assembly method selection during railcar development. Cogent Engineering. 7(1). 12 indexed citations
13.
Mpofu, Khumbulani, et al.. (2020). FR/CoG multi-attribute-based comparison methods for selection of the location of a research institute. Journal of Facilities Management. 18(1). 20–35. 4 indexed citations
14.
Mpofu, Khumbulani, et al.. (2019). Application of robotics in rail car manufacturing learning factory: A case of welding complex joints. Procedia Manufacturing. 31. 316–322. 8 indexed citations
15.
Mbohwa, Charles, et al.. (2017). A system model to improve the productivity of a south African steel industry. 329–333. 4 indexed citations
17.
Mpofu, Khumbulani, et al.. (2017). A maintenance system model for optimal reconfigurable vibrating screen management. Journal of industrial engineering international. 14(3). 521–535. 6 indexed citations
18.
Mpofu, Khumbulani, et al.. (2016). Establishment of the best maintenance practices for optimal reconfigurable vibrating screen management using decision techniques. International Journal of Quality & Reliability Management. 33(8). 1239–1267. 13 indexed citations
19.
Ramatsetse, Boitumelo, et al.. (2015). Review of vibrating screen development trends: Linking the past and the future in mining machinery industries. International Journal of Mineral Processing. 145. 17–22. 88 indexed citations
20.
Ramatsetse, Boitumelo, et al.. (2013). Conceptual Design Framework For Developing A Reconfigurable Vibrating Screen For Small And Medium Mining Enterprises. 10 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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