Chedy Raïssi

23 papers and 260 indexed citations i.

About

Chedy Raïssi is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Chedy Raïssi has authored 23 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Information Systems and 9 papers in Signal Processing. Recurrent topics in Chedy Raïssi’s work include Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (8 papers) and Rough Sets and Fuzzy Logic (4 papers). Chedy Raïssi is often cited by papers focused on Data Mining Algorithms and Applications (10 papers), Data Management and Algorithms (8 papers) and Rough Sets and Fuzzy Logic (4 papers). Chedy Raïssi collaborates with scholars based in France, United States and Australia. Chedy Raïssi's co-authors include Pascal Poncelet, Panagiotis Karras, Kian‐Lee Tan, Jianneng Cao, Maguelonne Teisseire, Jian Pei, H. P. Osborn, Megan Ansdell, Daniel Angerhausen and Jeffrey C. Smith and has published in prestigious journals such as Astronomy and Astrophysics, Artificial Intelligence and The Astrophysical Journal Letters.

In The Last Decade

Co-authorship network of co-authors of Chedy Raïssi i

Fields of papers citing papers by Chedy Raïssi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chedy Raïssi

Since Specialization
Citations

This map shows the geographic impact of Chedy Raïssi'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 Chedy Raïssi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chedy Raïssi 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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2025