Nicolas Monmarché

1.3k total citations
34 papers, 497 citations indexed

About

Nicolas Monmarché is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Nicolas Monmarché has authored 34 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Nicolas Monmarché's work include Metaheuristic Optimization Algorithms Research (6 papers), Complex Network Analysis Techniques (4 papers) and Advanced Clustering Algorithms Research (4 papers). Nicolas Monmarché is often cited by papers focused on Metaheuristic Optimization Algorithms Research (6 papers), Complex Network Analysis Techniques (4 papers) and Advanced Clustering Algorithms Research (4 papers). Nicolas Monmarché collaborates with scholars based in France, Tunisia and Algeria. Nicolas Monmarché's co-authors include Mohamed Slimane, Gilles Venturini, Vincent t'Kindt, Christiane Guinot, P. Santini, Évelyne Lutton, Marc Schoenauer, Pierre Collet, Pierrick Legrand and Adel M. Alimi and has published in prestigious journals such as European Journal of Operational Research, Future Generation Computer Systems and Lecture notes in computer science.

In The Last Decade

Nicolas Monmarché

32 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Monmarché France 9 244 139 95 93 51 34 497
Ali Hashemi United States 10 215 0.9× 34 0.2× 99 1.0× 88 0.9× 77 1.5× 31 502
Nicolas Meuleau United States 15 615 2.5× 87 0.6× 162 1.7× 93 1.0× 162 3.2× 24 849
Brian J. Ross Canada 12 295 1.2× 280 2.0× 87 0.9× 140 1.5× 18 0.4× 47 729
Guochang Gu China 10 216 0.9× 55 0.4× 40 0.4× 170 1.8× 111 2.2× 81 546
Faisal Alkhateeb Jordan 12 241 1.0× 44 0.3× 65 0.7× 73 0.8× 139 2.7× 43 470
Ashraf M. Abdelbar Egypt 13 482 2.0× 54 0.4× 115 1.2× 30 0.3× 58 1.1× 67 602
Guosheng Hao China 8 498 2.0× 57 0.4× 241 2.5× 75 0.8× 72 1.4× 34 798
Anna Goldie United States 8 434 1.8× 55 0.4× 28 0.3× 187 2.0× 64 1.3× 13 820
Chiara Piacentini United Kingdom 8 270 1.1× 35 0.3× 40 0.4× 132 1.4× 74 1.5× 20 481
Wee Sun Lee Singapore 10 492 2.0× 68 0.5× 27 0.3× 218 2.3× 83 1.6× 15 745

Countries citing papers authored by Nicolas Monmarché

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Monmarché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Monmarché

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Monmarché. A scholar is included among the top collaborators of Nicolas Monmarché 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 Nicolas Monmarché. Nicolas Monmarché 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.
Idoumghar, Lhassane, Pierrick Legrand, Arnaud Liefooghe, et al.. (2020). Artificial Evolution. Lecture notes in computer science.
2.
Monmarché, Nicolas, et al.. (2019). An Efficient Hybrid Evolution Strategy Algorithm with Direct Search Method for Global Optimization. HAL (Le Centre pour la Communication Scientifique Directe). 9(3). 63–78.
3.
Monmarché, Nicolas, et al.. (2018). Fuzzy Inference System Optimization by Evolutionary Approach for Mobile Robot Navigation. International Journal of Intelligent Systems and Applications. 10(2). 85–93. 4 indexed citations
4.
Lutton, Évelyne, Pierrick Legrand, Pierre Parrend, Nicolas Monmarché, & Marc Schoenauer. (2018). Artificial Evolution. Lecture notes in computer science. 1 indexed citations
5.
Bonnevay, Stéphane, Pierrick Legrand, Nicolas Monmarché, Évelyne Lutton, & Marc Schoenauer. (2016). Artificial Evolution. Lecture notes in computer science. 1 indexed citations
6.
Slimane, Mohamed, et al.. (2016). FlyAntClass: Intelligent move for ant based clustering algorithm. 14. 1–8. 2 indexed citations
7.
Monmarché, Nicolas, et al.. (2015). Spider's behavior for ant based clustering algorithm. 1. 254–259. 4 indexed citations
8.
Monmarché, Nicolas, et al.. (2013). Web Page Textual Color Contrast Compensation for CVD Users Using Optimization Methods. HAL (Le Centre pour la Communication Scientifique Directe). 13(4). 447–470. 4 indexed citations
9.
Monmarché, Nicolas, et al.. (2010). Bee-based algorithms : a review. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
10.
Guéret, Christophe, Nicolas Monmarché, & Mohamed Slimane. (2007). A biology-inspired model for the automatic dissemination of information in P2P networks. Multiagent and Grid Systems. 3(1). 87–104. 3 indexed citations
11.
Guéret, Christophe, Nicolas Monmarché, & Mohamed Slimane. (2007). Sharing Resources in a P2P Network with Artificial Ants. Journal of Mathematical Modelling and Algorithms. 6(3). 345–360. 2 indexed citations
12.
Guéret, Christophe, Nicolas Monmarché, & Mohamed Slimane. (2006). Sharing ressources with artificial ants. International Parallel and Distributed Processing Symposium. 240–240. 1 indexed citations
13.
Monmarché, Nicolas, et al.. (2006). Hidden Markov Models Training by a Particle Swarm Optimization Algorithm. Journal of Mathematical Modelling and Algorithms. 6(2). 175–193. 9 indexed citations
14.
Guéret, Christophe, Nicolas Monmarché, & Mohamed Slimane. (2006). Sharing resources with artificial ants. 8 pp.–8 pp.. 1 indexed citations
15.
Collet, Pierre, Nicolas Monmarché, Pierrick Legrand, Marc Schoenauer, & Évelyne Lutton. (2005). Proceedings of the 10th international conference on Artificial Evolution. 12 indexed citations
16.
Monmarché, Nicolas, et al.. (2004). AntTree- a new model for clustering with artificial ants. 4. 2642–2647. 52 indexed citations
17.
Monmarché, Nicolas, et al.. (2002). GeniMiner: Web Mining with a Genetic-Based Algorithm.. 263–270. 8 indexed citations
18.
Monmarché, Nicolas, et al.. (2002). Interactive Design of Web Sites with a Genetic Algorithm.. 355–362. 23 indexed citations
19.
Labroche, Nicolas, Nicolas Monmarché, & Gilles Venturini. (2002). A new clustering algorithm based on the ants chemical recognition system.. European Conference on Artificial Intelligence. 345–349. 2 indexed citations
20.
t'Kindt, Vincent, et al.. (2002). An Ant Colony Optimization algorithm to solve a 2-machine bicriteria flowshop scheduling problem. European Journal of Operational Research. 142(2). 250–257. 137 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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