Philippe Fortemps

2.7k total citations
40 papers, 1.8k citations indexed

About

Philippe Fortemps is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Philippe Fortemps has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management Science and Operations Research, 16 papers in Industrial and Manufacturing Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Philippe Fortemps's work include Scheduling and Optimization Algorithms (12 papers), Multi-Criteria Decision Making (10 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). Philippe Fortemps is often cited by papers focused on Scheduling and Optimization Algorithms (12 papers), Multi-Criteria Decision Making (10 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). Philippe Fortemps collaborates with scholars based in Belgium, France and Tunisia. Philippe Fortemps's co-authors include Marc Roubens, Didier Dubois, Jacques Teghem, Daniel Tuyttens, Hélène Fargier, Fabian Lecron, Taïcir Loukil, Marc Pirlot, Roman Słowiński and Salvatore Greco and has published in prestigious journals such as PLoS ONE, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Philippe Fortemps

39 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Fortemps Belgium 21 814 575 468 386 339 40 1.8k
Sadoullah Ebrahimnejad Iran 20 565 0.7× 337 0.6× 202 0.4× 246 0.6× 104 0.3× 77 1.5k
Behnam Malakooti United States 25 405 0.5× 709 1.2× 268 0.6× 197 0.5× 144 0.4× 97 1.6k
Μ.Μ. Gupta Canada 15 667 0.8× 86 0.1× 770 1.6× 612 1.6× 128 0.4× 89 1.8k
Lin Lin China 21 443 0.5× 115 0.2× 654 1.4× 409 1.1× 80 0.2× 115 1.6k
Gerald W. Evans United States 19 682 0.8× 475 0.8× 366 0.8× 95 0.2× 202 0.6× 68 2.0k
Mohammad Hossein Fazel Zarandi Iran 22 287 0.4× 376 0.7× 209 0.4× 345 0.9× 41 0.1× 66 1.4k
Pratyush Sen United Kingdom 15 501 0.6× 127 0.2× 295 0.6× 257 0.7× 161 0.5× 47 1.3k
Qinglian Lin China 14 565 0.7× 128 0.2× 163 0.3× 176 0.5× 193 0.6× 23 1.2k
Frank A. Tillman United States 21 139 0.2× 439 0.8× 359 0.8× 125 0.3× 138 0.4× 52 2.1k
Chiranjibe Jana India 28 1.7k 2.1× 61 0.1× 785 1.7× 340 0.9× 428 1.3× 96 2.1k

Countries citing papers authored by Philippe Fortemps

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Fortemps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Fortemps

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Fortemps. A scholar is included among the top collaborators of Philippe Fortemps 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 Philippe Fortemps. Philippe Fortemps 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.
Lecron, Fabian, et al.. (2022). Resource and activity clustering based on a hierarchical cell formation algorithm. Applied Intelligence. 53(1). 532–541. 2 indexed citations
2.
Chauvy, Remi, et al.. (2020). Comparison of multi-criteria decision-analysis methods for selecting carbon dioxide utilization products. Sustainable Production and Consumption. 24. 194–210. 43 indexed citations
3.
Loukil, Taïcir, et al.. (2020). Reactive heuristics for disrupted multi-mode resource-constrained project scheduling problem. Expert Systems with Applications. 167. 114132–114132. 18 indexed citations
4.
Lecron, Fabian, et al.. (2020). A one-class classification decision tree based on kernel density estimation. Applied Soft Computing. 91. 106250–106250. 27 indexed citations
5.
Rossignol, Mandy, et al.. (2019). Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder. PLoS ONE. 14(4). e0215720–e0215720. 36 indexed citations
6.
Abed, Mourad, et al.. (2019). PARS, a system combining semantic technologies with multiple criteria decision aiding for supporting antibiotic prescriptions. Journal of Biomedical Informatics. 99. 103304–103304. 8 indexed citations
7.
Lecron, Fabian, et al.. (2018). Specifics of medical data mining for diagnosis aid: A survey. Expert Systems with Applications. 118. 300–314. 48 indexed citations
8.
Fortemps, Philippe, et al.. (2017). Multi-objective algorithms to multi-mode resource-constrained projects under mode change disruption. Computers & Industrial Engineering. 106. 161–173. 30 indexed citations
9.
Lecron, Fabian, et al.. (2017). A multi-level classification framework for multi-site medical data: Application to the ADHD-200 collection. Expert Systems with Applications. 91. 36–45. 41 indexed citations
10.
Tilmant, Amaury, Pieter van der Zaag, & Philippe Fortemps. (2007). Modeling and analysis of collective management of water resources. Hydrology and earth system sciences. 11(2). 711–720. 10 indexed citations
11.
Fortemps, Philippe, Salvatore Greco, & Roman Słowiński. (2007). Multicriteria decision support using rules that represent rough-graded preference relations. European Journal of Operational Research. 188(1). 206–223. 44 indexed citations
12.
Loukil, Taïcir, Jacques Teghem, & Philippe Fortemps. (2006). A multi-objective production scheduling case study solved by simulated annealing. European Journal of Operational Research. 179(3). 709–722. 72 indexed citations
13.
14.
Fortemps, Philippe & Marc Pirlot. (2004). Conjoint axiomatization of Min, DiscriMin and LexiMin. Fuzzy Sets and Systems. 148(2). 211–229. 7 indexed citations
15.
Fortemps, Philippe, et al.. (2003). Multiobjective fuzzy linear programming problems with fuzzy decision variables. European Journal of Operational Research. 149(3). 654–675. 44 indexed citations
16.
Dubois, Didier, Philippe Fortemps, Marc Pirlot, & Henri Prade. (2001). Leximin optimality and fuzzy set-theoretic operations. European Journal of Operational Research. 130(1). 20–28. 19 indexed citations
17.
Loukil, Taïcir, Jacques Teghem, & Philippe Fortemps. (2000). Solving multi-objective production scheduling problems with Tabu Search. Control and Cybernetics. 29(3). 819–828. 8 indexed citations
18.
19.
Dubois, Didier & Philippe Fortemps. (1999). Computing improved optimal solutions to max–min flexible constraint satisfaction problems. European Journal of Operational Research. 118(1). 95–126. 94 indexed citations
20.
Fortemps, Philippe, et al.. (1996). Using metaheuristics for solving a production scheduling problem in a chemical firm. A case study. International Journal of Production Economics. 46-47. 13–26. 20 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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