Lakhdar Saïs

35 papers and 352 indexed citations i.

About

Lakhdar Saïs is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Lakhdar Saïs has authored 35 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 17 papers in Computer Networks and Communications. Recurrent topics in Lakhdar Saïs’s work include Distributed Constraint Optimization Problems and Algorithms (15 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (12 papers). Lakhdar Saïs is often cited by papers focused on Distributed Constraint Optimization Problems and Algorithms (15 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (12 papers). Lakhdar Saïs collaborates with scholars based in France, United Kingdom and Algeria. Lakhdar Saïs's co-authors include Christophe Lecoutre, Frédéric Boussemart, Fred Hémery, Éric Grégoire, Bertrand Mazure, Saïd Jabbour, Youssef Hamadi, Belaïd Benhamou, Vincent Vidal and Yakoub Salhi and has published in prestigious journals such as Sensors, Artificial Intelligence and Computers & Operations Research.

In The Last Decade

Co-authorship network of co-authors of Lakhdar Saïs i

Fields of papers citing papers by Lakhdar Saïs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lakhdar Saïs

Since Specialization
Citations

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