J.C. Gentina

67 total papers · 495 total citations
43 papers, 292 citations indexed

About

J.C. Gentina is a scholar working on Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Hardware and Architecture. According to data from OpenAlex, J.C. Gentina has authored 43 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Industrial and Manufacturing Engineering, 30 papers in Computational Theory and Mathematics and 7 papers in Hardware and Architecture. Recurrent topics in J.C. Gentina's work include Petri Nets in System Modeling (27 papers), Flexible and Reconfigurable Manufacturing Systems (25 papers) and Scheduling and Optimization Algorithms (15 papers). J.C. Gentina is often cited by papers focused on Petri Nets in System Modeling (27 papers), Flexible and Reconfigurable Manufacturing Systems (25 papers) and Scheduling and Optimization Algorithms (15 papers). J.C. Gentina collaborates with scholars based in France, Serbia and Czechia. J.C. Gentina's co-authors include Ouajdi Korbaa, Pierre Borne, Étienne Craye, L.T. Grujic, Armand Toguyéni, Pascal Yim, Jong-Kun Lee, Jean‐Pierre Richard, Enrique Teruel and Manuel Silva and has published in prestigious journals such as IEEE Transactions on Automatic Control, European Journal of Operational Research and International Journal of Production Research.

In The Last Decade

J.C. Gentina

41 papers receiving 276 citations

Author Peers

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

Author Last Decade Papers Cites
J.C. Gentina 198 169 60 59 31 43 292
Michael Tittus 75 0.4× 169 1.0× 133 2.2× 49 0.8× 20 0.6× 25 264
Andrei Karatkevich 94 0.5× 248 1.5× 36 0.6× 68 1.2× 40 1.3× 36 327
Alexandre Philippot 118 0.6× 121 0.7× 49 0.8× 13 0.2× 12 0.4× 53 205
Philippe Declerck 35 0.2× 141 0.8× 103 1.7× 40 0.7× 29 0.9× 31 224
Susanne Rösch 254 1.3× 53 0.3× 31 0.5× 27 0.5× 10 0.3× 23 324
M. Adamski 48 0.2× 222 1.3× 41 0.7× 21 0.4× 12 0.4× 35 270
Marian Adamski 56 0.3× 190 1.1× 31 0.5× 31 0.5× 20 0.6× 40 275
Grzegorz Bazydło 24 0.1× 102 0.6× 55 0.9× 16 0.3× 35 1.1× 32 262
Bruno Baynat 127 0.6× 36 0.2× 5 0.1× 125 2.1× 109 3.5× 27 285
Édouard Wagneur 170 0.9× 62 0.4× 8 0.1× 28 0.5× 60 1.9× 30 251

Countries citing papers authored by J.C. Gentina

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Gentina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Gentina. 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 J.C. Gentina. The network helps show where J.C. Gentina may publish in the future.

Co-authorship network of co-authors of J.C. Gentina

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Gentina. A scholar is included among the top collaborators of J.C. Gentina 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 J.C. Gentina. J.C. Gentina 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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