Mathieu Jacomy

14.6k total citations · 2 hit papers
24 papers, 9.6k citations indexed

About

Mathieu Jacomy is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mathieu Jacomy has authored 24 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistical and Nonlinear Physics, 8 papers in Sociology and Political Science and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mathieu Jacomy's work include Complex Network Analysis Techniques (13 papers), Data Visualization and Analytics (7 papers) and Social Representations and Identity (4 papers). Mathieu Jacomy is often cited by papers focused on Complex Network Analysis Techniques (13 papers), Data Visualization and Analytics (7 papers) and Social Representations and Identity (4 papers). Mathieu Jacomy collaborates with scholars based in France, Denmark and Switzerland. Mathieu Jacomy's co-authors include Sébastien Heymann, Tommaso Venturini, Pablo Jensen, Anders Kristian Munk, Bruno Latour, Jonathan Gray, Liliana Bounegru, Paul Girard, Pierre Mercklé and Pablo Jensen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Digital Journalism.

In The Last Decade

Mathieu Jacomy

23 papers receiving 9.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Gephi: An Open Source Software for Exploring and Manipulating Networks

2009 7.6k citations Sébastien Heymann, Mathieu Jacomy et al. Proceedings of the International AAAI Conference on Web and Social Media profile →
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

2014 1.8k citations Mathieu Jacomy, Tommaso Venturini et al. PLoS ONE profile →

Peers

Mathieu Jacomy

MB

ECOLO

SPS

SNP

PS

Sébastien Heymann France

Tamás Nepusz United Kingdom

Gábor Csárdi United States

Carl T. Bergstrom United States

Alessandro Flammini United States

Roger Guimerà Spain

Alan Agresti United States

Michael Greenacre Spain

Ben Niu China

Richard Bonneau United States

Sébastien Heymann France

Mathieu Jacomy

2.0k ×1.0

MB

1.4k ×1.0

ECOLO

1.2k ×0.9

SPS

1.2k ×1.0

SNP

942 ×1.0

PS

Citations per year, relative to Mathieu Jacomy Mathieu Jacomy (= 1×) peers Sébastien Heymann

Countries citing papers authored by Mathieu Jacomy

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Jacomy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Jacomy

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Jacomy. A scholar is included among the top collaborators of Mathieu Jacomy 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 Mathieu Jacomy. Mathieu Jacomy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Munk, Anders Kristian, et al.. (2024). Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature?. Big Data & Society. 11(3). 4 indexed citations

2.

Jacomy, Mathieu & E. F. Borra. (2024). Measuring LLM Self-consistency: Unknown Unknowns in Knowing Machines. SHILAP Revista de lepidopterología. 1 indexed citations

3.

Munk, Anders Kristian, et al.. (2022). The Thick Machine: Anthropological AI between explanation and explication. Big Data & Society. 9(1). 30 indexed citations

4.

Jacomy, Mathieu. (2022). The Mapping Turk: Human Judgment Driving Algorithms to Visualise Twitter During the 2022 French Presidential Election. VBN Forskningsportal (Aalborg Universitet). 3(2). 198–222.

5.

Jacomy, Mathieu & Anders Kristian Munk. (2022). Interfering with the black-box-tradeoff model: Gephisto, a one-click Gephi for critical technical practice. Convergence The International Journal of Research into New Media Technologies. 30(1). 142–166. 2 indexed citations

6.

Jacomy, Mathieu, et al.. (2021). Hyphe, a Curation-Oriented Approach to Web Crawling for the Social Sciences. Proceedings of the International AAAI Conference on Web and Social Media. 10(1). 595–598. 13 indexed citations

7.

Diminescu, Dana, et al.. (2021). Digital Diasporas Atlas Exploration and Cartography of Diasporas in Digital Networks. Proceedings of the International AAAI Conference on Web and Social Media. 5(1). 657–658. 2 indexed citations

8.

Grandjean, Martin & Mathieu Jacomy. (2019). Translating Networks: Assessing Correspondence Between Network Visualisation and Analytics. VBN Forskningsportal (Aalborg Universitet). 5 indexed citations

9.

Tournay, Virginie, et al.. (2019). A New Web-Based Big Data Analytics for Dynamic Public Opinion Mapping in Digital Networks on Contested Biotechnology Fields. OMICS A Journal of Integrative Biology. 24(1). 29–42. 6 indexed citations

10.

Venturini, Tommaso, et al.. (2018). Visual Network Exploration for Data Journalists. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

11.

Venturini, Tommaso, et al.. (2017). An unexpected journey: A few lessons from sciences Po médialab's experience. Big Data & Society. 4(2). 1245742782–1245742782. 30 indexed citations

12.

Bounegru, Liliana, Tommaso Venturini, Jonathan Gray, & Mathieu Jacomy. (2016). Narrating Networks. Digital Journalism. 5(6). 699–730. 18 indexed citations

13.

Venturini, Tommaso, et al.. (2016). Hors champs. Réseaux. n° 199(5). 11–42. 2 indexed citations

14.

Vespignani, Alessandro, Éric Fleury, Mathieu Jacomy, et al.. (2016). Detecting Global Bridges in Networks. HAL (Le Centre pour la Communication Scientifique Directe). 29 indexed citations

15.

Bounegru, Liliana, Tommaso Venturini, Jonathan Gray, & Mathieu Jacomy. (2016). Narrating Networks: Exploring the Affordances of Networks as Storytelling Devices in Journalism. SSRN Electronic Journal. 1 indexed citations

16.

Boullier, Dominique, Maxime Crépel, & Mathieu Jacomy. (2016). Zoomer n’est pas explorer. Réseaux. n° 195(1). 131–161. 5 indexed citations

17.

Jacomy, Mathieu, et al.. (2014). ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software. PLoS ONE. 9(6). e98679–e98679. 1818 indexed citations breakdown →

18.

Heymann, Sébastien, et al.. (2010). Using Computer Games Techniques for Improving Graph Visualization Efficiency. 1 indexed citations

19.

Diminescu, Dana, et al.. (2010). Le web matrimonial des migrants. Réseaux. n° 159(1). 15–56. 8 indexed citations

20.

Heymann, Sébastien, et al.. (2009). Gephi: An Open Source Software for Exploring and Manipulating Networks. Proceedings of the International AAAI Conference on Web and Social Media. 3(1). 361–362. 7598 indexed citations breakdown →

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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