Claude Yugma

131 total papers · 1.2k total citations
82 papers, 933 citations indexed

About

Claude Yugma is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Control and Systems Engineering. According to data from OpenAlex, Claude Yugma has authored 82 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Industrial and Manufacturing Engineering, 12 papers in Statistics, Probability and Uncertainty and 11 papers in Control and Systems Engineering. Recurrent topics in Claude Yugma's work include Scheduling and Optimization Algorithms (60 papers), Advanced Manufacturing and Logistics Optimization (46 papers) and Assembly Line Balancing Optimization (18 papers). Claude Yugma is often cited by papers focused on Scheduling and Optimization Algorithms (60 papers), Advanced Manufacturing and Logistics Optimization (46 papers) and Assembly Line Balancing Optimization (18 papers). Claude Yugma collaborates with scholars based in France, Norway and India. Claude Yugma's co-authors include Stéphane Dauzère‐Pérès, Jakey Blue, Jacques Pinaton, Christian Artigues, Mehrdad Mohammadi, Cheng‐Hung Wu, Khaled Hadj-Hamou, Maryam Karimi-Mamaghan, Lars Mönch and Argon Chen and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Claude Yugma

78 papers receiving 909 citations

Author Peers

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

Author Last Decade Papers Cites
Claude Yugma 840 123 98 94 76 82 933
António Costa 643 0.8× 114 0.9× 59 0.6× 98 1.0× 75 1.0× 75 1.1k
Orhan Engin 775 0.9× 202 1.6× 120 1.2× 57 0.6× 244 3.2× 59 1.2k
Fei Qiao 615 0.7× 188 1.5× 127 1.3× 22 0.2× 143 1.9× 110 1000
Balázs Csanád Csáji 221 0.3× 238 1.9× 108 1.1× 101 1.1× 107 1.4× 63 845
Paulo Eigi Miyagi 415 0.5× 172 1.4× 74 0.8× 59 0.6× 44 0.6× 111 872
Haihua Zhu 652 0.8× 144 1.2× 84 0.9× 13 0.1× 76 1.0× 56 958
Fardin Ahmadizar 480 0.6× 86 0.7× 83 0.8× 18 0.2× 254 3.3× 47 871
Tom M. Cavalier 582 0.7× 108 0.9× 60 0.6× 28 0.3× 76 1.0× 46 868
Ping‐Chen Chang 280 0.3× 86 0.7× 85 0.9× 237 2.5× 19 0.3× 87 900
Oliver Niggemann 551 0.7× 387 3.1× 138 1.4× 65 0.7× 297 3.9× 162 1.1k

Countries citing papers authored by Claude Yugma

Since Specialization
Citations

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

Fields of papers citing papers by Claude Yugma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Yugma

This figure shows the co-authorship network connecting the top 25 collaborators of Claude Yugma. A scholar is included among the top collaborators of Claude Yugma 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 Claude Yugma. Claude Yugma 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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