Laurent Geneste

55 papers receiving 944 citations

Hit Papers

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Peers

Laurent Geneste
Comparison fields: 5 of 94
  • Artificial Intelligence 341
  • Computer Networks and Communications 318
  • Industrial and Manufacturing Engineering 305
  • Management Science and Operations Research 155
  • Management Information Systems 140
Replace Daniel D. Corkill with:
Daniel D. Corkill United States
Brahim Hnich Türkiye
Jee-Hyong Lee South Korea
Dechen Zhan China
Alberto Trombetta Italy
Judith Dahmann United States
Mathias Uslar Germany
R.S. Sreenivas United States
Andreas Ekelhart Austria
Steven Prestwich Ireland
Laurent Geneste relative to Daniel D. Corkill United States Daniel D. Corkill's profile →
Citations per field
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Daniel D. Corkill · 1×
Citations per year

Countries citing papers authored by Laurent Geneste

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Geneste

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurent Geneste

This figure shows the co-authorship network connecting the top 25 collaborators of Laurent Geneste. A scholar is included among the top collaborators of Laurent Geneste 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 Laurent Geneste. Laurent Geneste 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
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Hybridization of Bayesian networks and belief functions to assess risk. Application to aircraft deconstruction
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About Laurent Geneste

Laurent Geneste is a scholar working on Management of Technology and Innovation, Industrial and Manufacturing Engineering and Management Information Systems, having authored 58 papers that have together received 991 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (13 papers), Scheduling and Optimization Algorithms (13 papers) and Product Development and Customization (11 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (305 citations), Management Information Systems (140 citations) and Management of Technology and Innovation (103 citations). Laurent Geneste has collaborated with scholars based in France, Mexico and Canada. Frequent co-authors include Bernard Grabot, Thierry Coudert, Bernard Kamsu-Foguem, Michel Aldanondo, Élise Vareilles, Claude Baron, François Pérès, Ralph Bergmann, Éric Bonjour and Konstantinos Kirytopoulos. Their work appears in journals such as European Journal of Operational Research, International Journal of Production Research and Knowledge-Based Systems.

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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