Lakhdar Saïs

2.6k citations
58 papers · 647 indexed · h-index 13
Topics
Formal Methods in Verification (21 papers)Constraint Satisfaction and Optimization (19 papers)Logic, Reasoning, and Knowledge (16 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsArtificial Intelligence

In The Last Decade

Lakhdar Saïs

51 papers receiving 583 citations

Peers

Lakhdar Saïs
Comparison fields: 5 of 62
  • Computer Networks and Communications 392
  • Artificial Intelligence 347
  • Computational Theory and Mathematics 250
  • Signal Processing 119
  • Management Science and Operations Research 94
Replace Javier Larrosa with:
Javier Larrosa Spain
Spiro Michaylov United States
Kimbal George Marriott Australia
Thom Frühwirth Germany
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Lakhdar Saïs relative to Javier Larrosa Spain Javier Larrosa's profile →
Citations per field
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Citations per year

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
#WorkIndexed citations
1 3
2 7
3 1
4 4
5 0
6 12
7
A SAT-based approach for mining association rules
7
8
Z-Equilibrium For a CSP Game.
1
9 1
10
A Pigeon-Hole Based Encoding of Cardinality Constraints.
3
11 0
12 17
13 137
14
Redundancy in {CSPs}
5
15
Logically-Complete Local Search for Propositional Nonmonotonic Knowledge Bases
0
16 12
17 1
18
Boosting systematic search by weighting constraints
156
19
Recovering and exploiting structural knowledge from cnf formulas
12
20
Tabu search for SAT
53

About Lakhdar Saïs

Lakhdar Saïs is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Software, having authored 58 papers that have together received 647 indexed citations. Recurring topics across this work include Formal Methods in Verification (21 papers), Constraint Satisfaction and Optimization (19 papers) and Logic, Reasoning, and Knowledge (16 papers). The work is most often cited by research in Computer Networks and Communications (392 citations), Software (64 citations) and Computational Theory and Mathematics (250 citations). Lakhdar Saïs has collaborated with scholars based in France, United Kingdom and Algeria. Frequent co-authors include Saïd Jabbour, Youssef Hamadi, Christophe Lecoutre, Fred Hémery, Frédéric Boussemart, Éric Grégoire, Bertrand Mazure, Yakoub Salhi, Belaïd Benhamou and Vincent Vidal. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Artificial Intelligence.

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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