Lakhdar Saïs

2.6k total citations
58 papers, 647 citations indexed

About

Lakhdar Saïs is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Lakhdar Saïs has authored 58 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Theory and Mathematics, 31 papers in Artificial Intelligence and 25 papers in Computer Networks and Communications. Recurrent topics in Lakhdar Saïs's work include Formal Methods in Verification (21 papers), Constraint Satisfaction and Optimization (19 papers) and Logic, Reasoning, and Knowledge (16 papers). Lakhdar Saïs is often cited by papers focused on Formal Methods in Verification (21 papers), Constraint Satisfaction and Optimization (19 papers) and Logic, Reasoning, and Knowledge (16 papers). Lakhdar Saïs collaborates with scholars based in France, United Kingdom and Algeria. Lakhdar Saïs's co-authors include Saïd Jabbour, Youssef Hamadi, Christophe Lecoutre, Frédéric Boussemart, Fred Hémery, Éric Grégoire, Bertrand Mazure, Yakoub Salhi, Belaïd Benhamou and Vincent Vidal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Artificial Intelligence.

In The Last Decade

Lakhdar Saïs

51 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lakhdar Saïs France 13 392 347 250 119 94 58 647
Javier Larrosa Spain 15 540 1.4× 373 1.1× 274 1.1× 220 1.8× 117 1.2× 47 745
Spiro Michaylov United States 10 328 0.8× 382 1.1× 173 0.7× 58 0.5× 40 0.4× 21 595
Thom Frühwirth Germany 14 379 1.0× 586 1.7× 177 0.7× 60 0.5× 43 0.5× 69 781
Kimbal George Marriott Australia 3 202 0.5× 183 0.5× 101 0.4× 58 0.5× 50 0.5× 7 433
Inês Lynce Portugal 15 287 0.7× 329 0.9× 308 1.2× 29 0.2× 45 0.5× 82 684
Jeffery Westbrook United States 17 479 1.2× 223 0.6× 356 1.4× 61 0.5× 56 0.6× 34 766
Alain Colmerauer France 10 284 0.7× 439 1.3× 241 1.0× 90 0.8× 30 0.3× 20 616
Mehmet Dincbas United States 10 426 1.1× 338 1.0× 138 0.6× 107 0.9× 94 1.0× 18 642
Robert Mateescu United States 11 386 1.0× 401 1.2× 165 0.7× 83 0.7× 35 0.4× 31 672
J.-L. Lassez Australia 7 434 1.1× 785 2.3× 428 1.7× 123 1.0× 38 0.4× 11 1.1k

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).

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.

Co-authorship network of co-authors of Lakhdar Saïs

This figure shows the co-authorship network connecting the top 25 collaborators of Lakhdar Saïs. A scholar is included among the top collaborators of Lakhdar Saïs 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 Lakhdar Saïs. Lakhdar Saïs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Saïs, Lakhdar, et al.. (2019). Solving a Potential Clustering Game. International Journal of Artificial Intelligence Tools. 28(2). 1950006–1950006. 1 indexed citations
2.
Jabbour, Saïd, et al.. (2018). SAT-Based Data Mining. International Journal of Artificial Intelligence Tools. 27(1). 1840002–1840002. 3 indexed citations
3.
Benamrane, Nacéra, et al.. (2017). Fuzzy generalized fast marching method for 3D segmentation of brain structures. International Journal of Imaging Systems and Technology. 27(3). 281–306. 4 indexed citations
5.
Jabbour, Saïd, et al.. (2017). Quantifying conflicts in propositional logic through prime implicates. International Journal of Approximate Reasoning. 89. 27–40. 12 indexed citations
6.
Saïs, Lakhdar, et al.. (2016). Z-Equilibrium For a CSP Game.. 1 indexed citations
7.
Jabbour, Saïd, et al.. (2016). A SAT-based approach for mining association rules. International Joint Conference on Artificial Intelligence. 2472–2478. 7 indexed citations
8.
Jabbour, Saïd, et al.. (2014). Extending modern SAT solvers for models enumeration. 803–810. 6 indexed citations
9.
Jabbour, Saïd, Lakhdar Saïs, & Yakoub Salhi. (2013). A Pigeon-Hole Based Encoding of Cardinality Constraints.. Theory and Practice of Logic Programming. 13. 3 indexed citations
10.
Jabbour, Saïd, Lakhdar Saïs, & Yakoub Salhi. (2013). Boolean satisfiability for sequence mining. 649–658. 10 indexed citations
11.
Hamadi, Youssef, Saïd Jabbour, Cédric Piette, & Lakhdar Saïs. (2011). Deterministic Parallel DPLL (DP2LL). 232(4755). 1281–1281.
12.
Lecoutre, Christophe, et al.. (2009). Reasoning from last conflict(s) in constraint programming. Artificial Intelligence. 173(18). 1592–1614. 17 indexed citations
13.
Saïs, Lakhdar, et al.. (2008). Redundancy in {CSPs}. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations
14.
Piette, Cédric, Youssef Hamadi, & Lakhdar Saïs. (2008). Vivification de formules propositionnelles clausales. HAL (Le Centre pour la Communication Scientifique Directe). 277–285.
15.
Grégoire, Éric, Bertrand Mazure, & Lakhdar Saïs. (2007). Logically-Complete Local Search for Propositional Nonmonotonic Knowledge Bases. HAL (Le Centre pour la Communication Scientifique Directe).
16.
Siegel, Pierre, et al.. (2006). Computing Horn Strong Backdoor Sets Thanks to Local Search. 3542. 139–143. 5 indexed citations
17.
Boussemart, Frédéric, Fred Hémery, Christophe Lecoutre, & Lakhdar Saïs. (2004). Boosting systematic search by weighting constraints. European Conference on Artificial Intelligence. 146–150. 156 indexed citations
18.
Grégoire, Éric, et al.. (2002). Recovering and exploiting structural knowledge from cnf formulas. HAL (Le Centre pour la Communication Scientifique Directe). 12 indexed citations
19.
Mazure, Bertrand, Lakhdar Saïs, & Éric Grégoire. (1997). Tabu search for SAT. HAL (Le Centre pour la Communication Scientifique Directe). 281–285. 53 indexed citations
20.
Benhamou, Belaïd & Lakhdar Saïs. (1994). Tractability through symmetries in propositional calculus. Journal of Automated Reasoning. 12(1). 89–102. 22 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.

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