Thibault Gisselbrecht

21 total papers · 645 total citations
4 papers, 180 citations indexed

About

Thibault Gisselbrecht is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Science Applications. According to data from OpenAlex, Thibault Gisselbrecht has authored 4 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Computer Science Applications. Recurrent topics in Thibault Gisselbrecht's work include Advanced Bandit Algorithms Research (3 papers), Data Stream Mining Techniques (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Thibault Gisselbrecht is often cited by papers focused on Advanced Bandit Algorithms Research (3 papers), Data Stream Mining Techniques (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Thibault Gisselbrecht collaborates with scholars based in France. Thibault Gisselbrecht's co-authors include Thibaut Lavril, David Leroy, Alice Coucke, Patrick Gallinari, Ludovic Denoyer and Sylvain Lamprier and has published in prestigious journals such as Data Mining and Knowledge Discovery and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Thibault Gisselbrecht

3 papers receiving 168 citations

Author Peers

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

Author Last Decade Papers Cites
Thibault Gisselbrecht 153 32 27 23 18 4 180
David Leroy 151 1.0× 31 1.0× 27 1.0× 23 1.0× 18 1.0× 3 179
Bo Li 222 1.5× 9 0.3× 31 1.1× 33 1.4× 14 0.8× 7 276
Yuanqin He 209 1.4× 9 0.3× 37 1.4× 7 0.3× 21 1.2× 7 246
Baiwu Zhang 208 1.4× 13 0.4× 31 1.1× 15 0.7× 9 0.5× 2 277
Yue Wang 260 1.7× 55 1.7× 19 0.7× 11 0.5× 26 1.4× 6 279
Si‐Ahmed Naas 215 1.4× 15 0.5× 15 0.6× 9 0.4× 33 1.8× 9 240
Xuegang Huang 237 1.5× 63 2.0× 28 1.0× 44 1.9× 79 4.4× 6 273
Yize Zhou 117 0.8× 12 0.4× 36 1.3× 4 0.2× 23 1.3× 6 179
Shike Mei 201 1.3× 8 0.3× 41 1.5× 50 2.2× 5 0.3× 6 273
Eugene Bagdasaryan 166 1.1× 12 0.4× 73 2.7× 39 1.7× 12 0.7× 8 233

Countries citing papers authored by Thibault Gisselbrecht

Since Specialization
Citations

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

Fields of papers citing papers by Thibault Gisselbrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thibault Gisselbrecht

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