Samuel Martin

31 total papers · 1.4k total citations
13 papers, 930 citations indexed

About

Samuel Martin is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Samuel Martin has authored 13 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Statistical and Nonlinear Physics and 2 papers in Management Science and Operations Research. Recurrent topics in Samuel Martin's work include Opinion Dynamics and Social Influence (8 papers), Distributed Control Multi-Agent Systems (7 papers) and Complex Network Analysis Techniques (6 papers). Samuel Martin is often cited by papers focused on Opinion Dynamics and Social Influence (8 papers), Distributed Control Multi-Agent Systems (7 papers) and Complex Network Analysis Techniques (6 papers). Samuel Martin collaborates with scholars based in France, Belgium and Australia. Samuel Martin's co-authors include Vincent D. Blondel, Pierre Deville, Forrest R. Stevens, Marius Gilbert, Andrea E. Gaughan, Catherine Linard, Andrew J. Tatem, Antoine Girard, Julien M. Hendrickx and Marc Jungers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and IEEE Transactions on Automatic Control.

In The Last Decade

Samuel Martin

12 papers receiving 896 citations

Hit Papers

Dynamic population mappin... 2014 2026 2018 2022 2014 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Samuel Martin 488 298 231 158 97 13 930
Hugo Barbosa 707 1.4× 168 0.6× 57 0.2× 123 0.8× 102 1.1× 24 1.0k
Gautier Krings 558 1.1× 117 0.4× 86 0.4× 266 1.7× 102 1.1× 13 874
Vanessa Frías-Martínez 740 1.5× 221 0.7× 88 0.4× 104 0.7× 204 2.1× 60 1.2k
Xiao-Pu Han 294 0.6× 54 0.2× 72 0.3× 364 2.3× 45 0.5× 44 849
Riccardo Gallotti 418 0.9× 114 0.4× 49 0.2× 248 1.6× 77 0.8× 41 1.2k
Xiao-Yong Yan 616 1.3× 85 0.3× 90 0.4× 167 1.1× 40 0.4× 53 1.0k
Lei Dong 577 1.2× 278 0.9× 28 0.1× 73 0.5× 82 0.8× 36 1.1k
Kevin O’Keeffe 239 0.5× 93 0.3× 458 2.0× 203 1.3× 24 0.2× 29 942
Seongik Hong 396 0.8× 46 0.2× 618 2.7× 79 0.5× 30 0.3× 12 1.0k
Laëtitia Gauvin 298 0.6× 90 0.3× 58 0.3× 233 1.5× 96 1.0× 31 960

Countries citing papers authored by Samuel Martin

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Martin

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Martin. A scholar is included among the top collaborators of Samuel Martin 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 Samuel Martin. Samuel Martin 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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