This map shows the geographic impact of Michèle Sébag'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 Michèle Sébag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michèle Sébag more than expected).
This network shows the impact of papers produced by Michèle Sébag. 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 Michèle Sébag. The network helps show where Michèle Sébag may publish in the future.
Co-authorship network of co-authors of Michèle Sébag
This figure shows the co-authorship network connecting the top 25 collaborators of Michèle Sébag.
A scholar is included among the top collaborators of Michèle Sébag 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 Michèle Sébag. Michèle Sébag is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Guyon, Isabelle, Hugo Jair Escalante, Sérgio Escalera, et al.. (2016). A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. SPIRE - Sciences Po Institutional REpository.28 indexed citations
4.
Schoenauer, Marc, et al.. (2014). Programming by Feedback. International Conference on Machine Learning. 1503–1511.15 indexed citations
Chevallier, Sylvain, Hélène Paugam‐Moisy, & Michèle Sébag. (2010). SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system. HAL (Le Centre pour la Communication Scientifique Directe). 23. 379–387.4 indexed citations
7.
Sébag, Michèle, et al.. (2010). Feature Selection as a One-Player Game. HAL (Le Centre pour la Communication Scientifique Directe). 359–366.34 indexed citations
8.
Furtlehner, Cyril, Michèle Sébag, & Xiangliang Zhang. (2010). Scaling analysis of affinity propagation. Physical Review E. 81(6). 66102–66102.5 indexed citations
Baskiotis, Nicolas, et al.. (2007). A machine learning approach for statistical software testing. HAL (Le Centre pour la Communication Scientifique Directe). 2274–2279.17 indexed citations
12.
Baskiotis, Nicolas, et al.. (2006). EXIST: Exploitation/Exploration Inference for Statistical Software Testing. HAL (Le Centre pour la Communication Scientifique Directe).
13.
Sébag, Michèle, et al.. (2005). A multi-objective multi-modal optimization approach for mining stable spatio-temporal patterns. International Joint Conference on Artificial Intelligence. 859–864.18 indexed citations
Botta, Marco, Attilio Giordana, Lorenza Saitta, & Michèle Sébag. (2003). Relational learning as search in a critical region. Journal of Machine Learning Research. 4. 431–463.15 indexed citations
16.
Rouveirol, Céline, et al.. (2002). Constraint-based Learning of Long Relational Concepts. International Conference on Machine Learning. 35–42.3 indexed citations
Sébag, Michèle. (1996). Delaying the Choice of Bias: A Disjunctive Version Space Approach. HAL (Le Centre pour la Communication Scientifique Directe).3 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.