Jean‐Gabriel Ganascia

49 papers and 257 indexed citations i.

About

Jean‐Gabriel Ganascia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jean‐Gabriel Ganascia has authored 49 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Jean‐Gabriel Ganascia’s work include Data Management and Algorithms (6 papers), AI-based Problem Solving and Planning (5 papers) and Semantic Web and Ontologies (4 papers). Jean‐Gabriel Ganascia is often cited by papers focused on Data Management and Algorithms (6 papers), AI-based Problem Solving and Planning (5 papers) and Semantic Web and Ontologies (4 papers). Jean‐Gabriel Ganascia collaborates with scholars based in France, Burundi and Australia. Jean‐Gabriel Ganascia's co-authors include Geber Ramalho, Jean‐Daniel Zucker, Vincent Corruble, Catherine Tessier, Laurence Devillers, Raja Chatila, Alexei Grinbaum, Max Dauchet, Xun Zhang and Chen Chen and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Jean‐Gabriel Ganascia i

Fields of papers citing papers by Jean‐Gabriel Ganascia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jean‐Gabriel Ganascia

Since Specialization
Citations

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