Jean‐Philippe Pellet

About

Jean‐Philippe Pellet is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Jean‐Philippe Pellet has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Computer Science Applications and 2 papers in Education. Recurrent topics in Jean‐Philippe Pellet’s work include Teaching and Learning Programming (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Advanced Graph Neural Networks (1 paper). Jean‐Philippe Pellet is often cited by papers focused on Teaching and Learning Programming (3 papers), Bayesian Modeling and Causal Inference (3 papers) and Advanced Graph Neural Networks (1 paper). Jean‐Philippe Pellet collaborates with scholars based in Switzerland, United States and United Kingdom. Jean‐Philippe Pellet's co-authors include André Elisseeff, Morgane Chevalier, Francesco Mondada, Bernard Baumberger, Jessica Dehler Zufferey, Margarida Roméro, Barbara Bruno, Christian Giang, Catherine Audrin and Elias August and has published in prestigious journals such as Computers & Education, Journal of Machine Learning Research and IBM Journal of Research and Development.

In The Last Decade

Co-authorship network of co-authors of Jean‐Philippe Pellet i

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Fields of papers citing papers by Jean‐Philippe Pellet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Philippe Pellet. 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 Jean‐Philippe Pellet. The network helps show where Jean‐Philippe Pellet may publish in the future.

Countries citing papers authored by Jean‐Philippe Pellet

Since Specialization

Citations

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

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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