Vincent Labatut

986 total citations
34 papers, 278 citations indexed

About

Vincent Labatut is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vincent Labatut has authored 34 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistical and Nonlinear Physics, 12 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vincent Labatut's work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (9 papers) and Data Visualization and Analytics (4 papers). Vincent Labatut is often cited by papers focused on Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (9 papers) and Data Visualization and Analytics (4 papers). Vincent Labatut collaborates with scholars based in France, Türkiye and United Kingdom. Vincent Labatut's co-authors include Günce Keziban Orman, Hocine Cherifi, Rosa Figueiredo, Georges Linarès, Serigne Guèye, Jean‐François Boulicaut, Marc Plantevit, Richard Dufour, Anthony Perez and Pierre Celsis and has published in prestigious journals such as IEEE Access, Physica A Statistical Mechanics and its Applications and Scientific Data.

In The Last Decade

Vincent Labatut

30 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vincent Labatut France	12	143	85	43	35	34	34	278
Sanasam Ranbir Singh India	10	84 0.6×	223 2.6×	40 0.9×	34 1.0×	66 1.9×	61	326
Mansoureh Takaffoli Canada	10	213 1.5×	86 1.0×	51 1.2×	31 0.9×	53 1.6×	15	339
Chiman Salavati Iran	7	172 1.2×	138 1.6×	24 0.6×	24 0.7×	26 0.8×	7	290
Tsai-Ching Lu United States	10	74 0.5×	167 2.0×	49 1.1×	23 0.7×	44 1.3×	36	304
Zhen Lin China	8	139 1.0×	89 1.0×	40 0.9×	29 0.8×	77 2.3×	13	288
Rémy Cazabet France	8	231 1.6×	61 0.7×	38 0.9×	33 0.9×	38 1.1×	24	307
Sucheta Soundarajan United States	10	278 1.9×	155 1.8×	29 0.7×	46 1.3×	47 1.4×	44	403
Dónal Doyle Ireland	5	276 1.9×	170 2.0×	42 1.0×	54 1.5×	46 1.4×	9	421
Ayushi Dalmia India	4	166 1.2×	141 1.7×	11 0.3×	28 0.8×	45 1.3×	9	257
Hassan Badir Morocco	7	119 0.8×	45 0.5×	30 0.7×	9 0.3×	50 1.5×	32	260

Countries citing papers authored by Vincent Labatut

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Labatut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Labatut

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

All Works

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20 of 20 papers shown

Labatut, Vincent, et al.. (2025). Conversation-based multimodal abuse detection through text and graph embeddings. Computing. 107(5).

Labatut, Vincent, et al.. (2025). Persistent Homology of Topic Networks for the Prediction of Reader Curiosity. ArXiv.org. 28121–28132.

MacCarron, Pádraig, et al.. (2024). Interconnected Kingdoms: comparing ‘A Song of Ice and Fire’ adaptations across media using complex networks. Social Network Analysis and Mining. 14(1).

Labatut, Vincent, et al.. (2024). Whole-Graph Representation Learning for the Classification of Signed Networks. IEEE Access. 12. 151303–151316. 1 indexed citations

El-Azouzi, Rachid, et al.. (2024). FedSV: Byzantine-Robust Federated Learning via Shapley Value. ArXiv.org. 4620–4625.

Labatut, Vincent, et al.. (2023). Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset. 10372–10382. 3 indexed citations

Labatut, Vincent, et al.. (2023). FOPPA: an open database of French public procurement award notices from 2010–2020. Scientific Data. 10(1). 303–303. 4 indexed citations

Figueiredo, Rosa, et al.. (2023). Efficient enumeration of the optimal solutions to the correlation clustering problem. Journal of Global Optimization. 86(2). 355–391. 1 indexed citations

Labatut, Vincent. (2022). Extraction and Analysis of Fictional Character Networks. HAL (Le Centre pour la Communication Scientifique Directe). 37 indexed citations

10.

Labatut, Vincent, et al.. (2020). Multiplicity and diversity: analysing the optimal solution space of the correlation clustering problem on complete signed graphs. Journal of Complex Networks. 8(6). 3 indexed citations

11.

Figueiredo, Rosa, et al.. (2019). Multiple partitioning of multiplex signed networks: Application to European parliament votes. arXiv (Cornell University). 13 indexed citations

12.

Guèye, Serigne, et al.. (2019). Remembering Winter Was Coming: Character-Oriented Video Summaries of TV Series. arXiv (Cornell University). 4 indexed citations

13.

Labatut, Vincent, et al.. (2019). Conversational Networks for Automatic Online Moderation. IEEE Transactions on Computational Social Systems. 6(1). 38–55. 8 indexed citations

14.

Labatut, Vincent. (2017). Continuous Average Straightness in Spatial Graphs. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

15.

Orman, Günce Keziban, et al.. (2017). Exploring the evolution of node neighborhoods in Dynamic Networks. Physica A Statistical Mechanics and its Applications. 482. 375–391. 11 indexed citations

16.

Labatut, Vincent. (2015). Generalised measures for the evaluation of community detection methods. 2. 44–63. 18 indexed citations

17.

Labatut, Vincent, et al.. (2014). Identifying the community roles of social capitalists in the Twitter network. arXiv (Cornell University). 371–374. 1 indexed citations

18.

Orman, Günce Keziban, Vincent Labatut, & Hocine Cherifi. (2011). On Accuracy of Community Structure Discovery Algorithms. Journal of Convergence Information Technology. 6(11). 283–292. 14 indexed citations

19.

Labatut, Vincent. (2003). Modeling the cerebral activity with dynamic probabilistic networks. WIT transactions on biomedicine and health. V. 459–468. 1 indexed citations

20.

Labatut, Vincent, et al.. (2003). Cerebral modeling and dynamic Bayesian networks. Artificial Intelligence in Medicine. 30(2). 119–139. 12 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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