Isabelle Guyon

518 total citations
12 papers, 260 citations indexed

About

Isabelle Guyon is a scholar working on Clinical Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Isabelle Guyon has authored 12 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Clinical Psychology, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Isabelle Guyon's work include Personality Traits and Psychology (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Personality Disorders and Psychopathology (1 paper). Isabelle Guyon is often cited by papers focused on Personality Traits and Psychology (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Personality Disorders and Psychopathology (1 paper). Isabelle Guyon collaborates with scholars based in France, United States and Spain. Isabelle Guyon's co-authors include Sérgio Escalera, Yağmur Güçlütürk, Xavier Baró, Marcel van Gerven, Hugo Jair Escalante, Umut Güçlü, Rob van Lier, Cécile Germain‐Renaud, G. Cowan and D. Rousseau and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Affective Computing and Journal of Physics Conference Series.

In The Last Decade

Isabelle Guyon

11 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isabelle Guyon France	8	73	66	61	56	32	12	260
Ulf K. Mertens Germany	7	65 0.9×	17 0.3×	74 1.2×	21 0.4×	40 1.3×	10	309
William Van Woensel Canada	8	71 1.0×	32 0.5×	47 0.8×	45 0.8×	17 0.5×	37	271
Daniel Reichman United States	8	79 1.1×	137 2.1×	28 0.5×	22 0.4×	17 0.5×	33	393
S. Mohanavalli India	8	98 1.3×	33 0.5×	64 1.0×	25 0.4×	42 1.3×	24	283
Andy Nisbet United Kingdom	7	105 1.4×	36 0.5×	10 0.2×	20 0.4×	11 0.3×	28	283
Benjamin Girault United States	7	90 1.2×	42 0.6×	47 0.8×	12 0.2×	6 0.2×	14	222
Tuan Anh Tran Vietnam	11	63 0.9×	198 3.0×	64 1.0×	19 0.3×	27 0.8×	45	395
Wang Liu China	11	32 0.4×	86 1.3×	42 0.7×	86 1.5×	127 4.0×	43	507

Countries citing papers authored by Isabelle Guyon

Since Specialization

Citations

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

Fields of papers citing papers by Isabelle Guyon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Guyon

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

All Works

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12 of 12 papers shown

Guyon, Isabelle, et al.. (2021). Judging competitions and benchmarks: a candidate election approach. 35–40.

Donnot, Benjamin, Isabelle Guyon, Ziming Liu, et al.. (2020). LEAP nets for system identification and application to power systems. Neurocomputing. 416. 316–327. 7 indexed citations

Madadi, Meysam, et al.. (2020). Learning Cloth Dynamics: 3D+Texture Garment Reconstruction Benchmark.. VBN Forskningsportal (Aalborg Universitet). 57–76. 4 indexed citations

Jacques, Julio C. S., Yağmur Güçlütürk, Umut Güçlü, et al.. (2019). First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis. IEEE Transactions on Affective Computing. 13(1). 75–95. 54 indexed citations

Jacques, Julio C. S., Yağmur Güçlütürk, Umut Güçlü, et al.. (2018). First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis. arXiv (Cornell University). 15 indexed citations

Güçlütürk, Yağmur, Umut Güçlü, Xavier Baró, et al.. (2017). Multimodal First Impression Analysis with Deep Residual Networks. IEEE Transactions on Affective Computing. 9(3). 316–329. 43 indexed citations

Escalante, Hugo Jair, Isabelle Guyon, Sérgio Escalera, et al.. (2017). Design of an explainable machine learning challenge for video interviews. SPIRE - Sciences Po Institutional REpository. 3688–3695. 32 indexed citations

Adam, Carole, G. Cowan, Cécile Germain‐Renaud, et al.. (2015). The Higgs Machine Learning Challenge. Journal of Physics Conference Series. 664(7). 72015–72015. 51 indexed citations

Statnikov, Alexander, Constantin Aliferis, Douglas P. Hardin, & Isabelle Guyon. (2013). A Gentle Introduction to Support Vector Machines in Biomedicine. WORLD SCIENTIFIC eBooks. 7 indexed citations

10.

Statnikov, Alexander, Constantin Aliferis, Douglas P. Hardin, & Isabelle Guyon. (2012). A Gentle Introduction to Support Vector Machines in Biomedicine:Volume 2: Case Studies and Benchmarks. 7 indexed citations

11.

Statnikov, Alexander, Constantin Aliferis, Douglas P. Hardin, & Isabelle Guyon. (2011). A Gentle Introduction to Support Vector Machines in Biomedicine: Case Studies. 8 indexed citations

12.

Schölkopf, Bernhard, Isabelle Guyon, Jason Weston, Paolo Frasconi, & Ron Shamir. (2003). Statistical Learning and Kernel Methods in Bioinformatics. MPG.PuRe (Max Planck Society). 1–21. 32 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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