James Bekker

62 total papers · 522 total citations
32 papers, 346 citations indexed

About

James Bekker is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, James Bekker has authored 32 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Science and Operations Research, 7 papers in Control and Systems Engineering and 5 papers in Computational Theory and Mathematics. Recurrent topics in James Bekker's work include Simulation Techniques and Applications (7 papers), Transportation Planning and Optimization (4 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). James Bekker is often cited by papers focused on Simulation Techniques and Applications (7 papers), Transportation Planning and Optimization (4 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). James Bekker collaborates with scholars based in South Africa, Australia and Austria. James Bekker's co-authors include Rian van der Merwe, Chris Aldrich, Petrus Christiaan Pistorius, I.K. Craig, Jan H. van Vuuren, Moon‐Young Yoon, Corné Schutte, Bruce Talbot, Du Toit and Steve Kroon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and European Journal of Operational Research.

In The Last Decade

James Bekker

26 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Bekker 78 69 64 49 43 32 346
Adnan Aktepe 75 1.0× 23 0.3× 51 0.8× 52 1.1× 58 1.3× 30 355
Adam Amril Jaharadak 51 0.7× 24 0.3× 54 0.8× 12 0.2× 21 0.5× 29 347
Guoquan Liu 26 0.3× 23 0.3× 74 1.2× 19 0.4× 32 0.7× 32 394
Tien‐Hsiang Chang 64 0.8× 17 0.2× 36 0.6× 48 1.0× 39 0.9× 30 371
Volker Stich 20 0.3× 40 0.6× 26 0.4× 18 0.4× 145 3.4× 48 367
Ruize Ma 25 0.3× 20 0.3× 31 0.5× 53 1.1× 47 1.1× 14 337
Shurong Tong 16 0.2× 11 0.2× 53 0.8× 28 0.6× 38 0.9× 39 302
Nikos Tsotsolas 13 0.2× 24 0.3× 31 0.5× 41 0.8× 22 0.5× 33 359
Javier García Guzmán 18 0.2× 46 0.7× 27 0.4× 9 0.2× 13 0.3× 27 370
Rafael Becerril‐Arreola 19 0.2× 82 1.2× 24 0.4× 22 0.4× 17 0.4× 26 333

Countries citing papers authored by James Bekker

Since Specialization
Citations

This map shows the geographic impact of James Bekker'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 James Bekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Bekker more than expected).

Fields of papers citing papers by James Bekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Bekker. 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 James Bekker. The network helps show where James Bekker may publish in the future.

Co-authorship network of co-authors of James Bekker

This figure shows the co-authorship network connecting the top 25 collaborators of James Bekker. A scholar is included among the top collaborators of James Bekker 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 James Bekker. James Bekker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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