Sébastien Motsch

1.9k total citations · 1 hit paper
35 papers, 1.2k citations indexed

About

Sébastien Motsch is a scholar working on Modeling and Simulation, Computer Networks and Communications and Condensed Matter Physics. According to data from OpenAlex, Sébastien Motsch has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Modeling and Simulation, 9 papers in Computer Networks and Communications and 8 papers in Condensed Matter Physics. Recurrent topics in Sébastien Motsch's work include Mathematical Biology Tumor Growth (10 papers), Distributed Control Multi-Agent Systems (7 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Sébastien Motsch is often cited by papers focused on Mathematical Biology Tumor Growth (10 papers), Distributed Control Multi-Agent Systems (7 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). Sébastien Motsch collaborates with scholars based in United States, France and Argentina. Sébastien Motsch's co-authors include Eitan Tadmor, Pierre‐Emmanuel Jabin, Pierre Degond, Pedro R. Löwenstein, María G. Castro, Andrea Comba, Jacques Gautrais, Guy Théraulaz, Stéphane Blanco and Richard Fournier and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Computational Physics.

In The Last Decade

Sébastien Motsch

34 papers receiving 1.1k citations

Hit Papers

Heterophilious Dynamics Enhances Consensus 2014 2026 2018 2022 2014 100 200 300

Peers

Sébastien Motsch
Yao-Li Chuang United States
Zoltán Neufeld Australia
Thomas E. Woolley United Kingdom
Wolfgang Alt Germany
Raluca Eftimie United Kingdom
Markus R. Owen United Kingdom
Steven R. Dunbar United States
Yao-Li Chuang United States
Sébastien Motsch
Citations per year, relative to Sébastien Motsch Sébastien Motsch (= 1×) peers Yao-Li Chuang

Countries citing papers authored by Sébastien Motsch

Since Specialization
Citations

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

Fields of papers citing papers by Sébastien Motsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Motsch

This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Motsch. A scholar is included among the top collaborators of Sébastien Motsch 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 Sébastien Motsch. Sébastien Motsch 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.
Faisal, Syed Mohd, María L. Varela, Andrea Comba, et al.. (2024). Spatiotemporal Insights into Glioma Oncostream Dynamics: Unraveling Formation, Stability, and Disassembly Pathways. Advanced Science. 11(18). e2309796–e2309796. 6 indexed citations
2.
Comba, Andrea, María L. Varela, Syed Mohd Faisal, et al.. (2023). Generation of 3D ex vivo mouse- and patient-derived glioma explant slice model for integration of confocal time-lapse imaging and spatial analysis. STAR Protocols. 4(2). 102174–102174. 4 indexed citations
3.
Wood, Kevin B., Andrea Comba, Sébastien Motsch, Tomás S. Grigera, & Pedro R. Löwenstein. (2023). Scale-free correlations and potential criticality in weakly ordered populations of brain cancer cells. Science Advances. 9(26). eadf7170–eadf7170. 6 indexed citations
4.
Comba, Andrea, Syed Mohd Faisal, Patrick Dunn, et al.. (2022). Spatiotemporal analysis of glioma heterogeneity reveals COL1A1 as an actionable target to disrupt tumor progression. Nature Communications. 13(1). 3606–3606. 56 indexed citations
5.
Comba, Andrea, Syed Mohd Faisal, María L. Varela, et al.. (2021). Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications. Frontiers in Oncology. 11. 703764–703764. 37 indexed citations
6.
Comba, Andrea, et al.. (2020). Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation. PLoS Computational Biology. 16(5). e1007611–e1007611. 25 indexed citations
7.
Motsch, Sébastien, et al.. (2020). Asymptotic flocking for the three-zone model. Mathematical Biosciences & Engineering. 17(6). 7692–7707. 6 indexed citations
8.
Motsch, Sébastien, et al.. (2019). Experimental investigation of ant traffic under crowded conditions. eLife. 8. 9 indexed citations
9.
Comba, Andrea, Patrick Dunn, Padma Kadiyala, et al.. (2019). TMIC-58. THE CELLULAR AND MOLECULAR BASIS FOR MESENCHYMAL TRANSFORMATION IN GLIOMAS. Neuro-Oncology. 21(Supplement_6). vi260–vi260. 1 indexed citations
10.
Comba, Andrea, Patrick Dunn, Padma Kadiyala, et al.. (2019). 3131 ONCOSTREAMS: NOVEL DYNAMICS PATHOLOGICAL MULTICELLULAR STRUCTURES INVOLVED IN GLIOBLATOMA GROWTH AND INVASION. SHILAP Revista de lepidopterología. 3(s1). 111–111. 3 indexed citations
11.
Motsch, Sébastien, Mehdi Moussaïd, Elsa G. Guillot, et al.. (2018). Modeling crowd dynamics through coarse-grained data analysis. Mathematical Biosciences & Engineering. 15(6). 1271–1290. 6 indexed citations
12.
Motsch, Sébastien, et al.. (2017). From short-range repulsion to Hele-Shaw problem in a model of tumor growth. Journal of Mathematical Biology. 76(1-2). 205–234. 8 indexed citations
13.
Baker, Gregory J., Viveka Nand Yadav, Sébastien Motsch, et al.. (2014). Mechanisms of Glioma Formation: Iterative Perivascular Glioma Growth and Invasion Leads to Tumor Progression, VEGF-Independent Vascularization, and Resistance to Antiangiogenic Therapy. Neoplasia. 16(7). 543–561. 129 indexed citations
14.
Jabin, Pierre‐Emmanuel & Sébastien Motsch. (2014). Clustering and asymptotic behavior in opinion formation. Journal of Differential Equations. 257(11). 4165–4187. 54 indexed citations
15.
Degond, Pierre, et al.. (2014). Macroscopic models of collective motion and self-organization. arXiv (Cornell University). 1–27. 7 indexed citations
16.
Motsch, Sébastien & Eitan Tadmor. (2011). A New Model for Self-organized Dynamics and Its Flocking Behavior. Journal of Statistical Physics. 144(5). 923–947. 244 indexed citations
17.
Cattiaux, Patrick, Djalil Chafaï, & Sébastien Motsch. (2010). Asymptotic analysis and diffusion limit of the Persistent Turning Walker Model. Asymptotic Analysis. 67(1-2). 17–31. 2 indexed citations
18.
Herty, Michaël, et al.. (2009). A smooth model for fiber lay-down processes and its diffusion approximations. Kinetic and Related Models. 2(3). 489–502. 10 indexed citations
19.
Gautrais, Jacques, Christian Jost, Marc Soria, et al.. (2008). Analyzing fish movement as a persistent turning walker. Journal of Mathematical Biology. 58(3). 429–445. 98 indexed citations
20.
Degond, Pierre & Sébastien Motsch. (2007). Macroscopic limit of self-driven particles with orientation interaction. Comptes Rendus Mathématique. 345(10). 555–560. 51 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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