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
20097.6k citationsSébastien Heymann, Mathieu Jacomy et al.Proceedings of the International AAAI Conference on Web and Social Mediaprofile →
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software
20141.8k citationsMathieu Jacomy, Tommaso Venturini et al.PLoS ONEprofile →
Countries citing papers authored by Sébastien Heymann
Since Specialization
Citations
This map shows the geographic impact of Sébastien Heymann'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 Heymann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Heymann more than expected).
Fields of papers citing papers by Sébastien Heymann
This network shows the impact of papers produced by Sébastien Heymann. 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 Heymann. The network helps show where Sébastien Heymann may publish in the future.
Co-authorship network of co-authors of Sébastien Heymann
This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Heymann.
A scholar is included among the top collaborators of Sébastien Heymann 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 Heymann. Sébastien Heymann is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
5 of 5 papers shown
#
Work
Indexed citations
1
ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Softwarebreakdown →
Sébastien Heymann is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Literature and Literary Theory, having authored 5 papers that have together received 9.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Complex Network Analysis Techniques (3 papers) and Peer-to-Peer Network Technologies (1 paper). The work is most often cited by research in Communication (695 citations), Statistical and Nonlinear Physics (1.2k citations) and Ecology (1.4k citations). Sébastien Heymann has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Mathieu Jacomy, Tommaso Venturini, Bénédicte Le Grand, Paolo Ciuccarelli and Giorgio Caviglia. Their work appears in journals such as PLoS ONE, HAL (Le Centre pour la Communication Scientifique Directe) and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.