Reda Boukezzoula

766 total citations
39 papers, 452 citations indexed

About

Reda Boukezzoula is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Reda Boukezzoula has authored 39 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 18 papers in Statistics and Probability and 14 papers in Management Science and Operations Research. Recurrent topics in Reda Boukezzoula's work include Fuzzy Logic and Control Systems (23 papers), Fuzzy Systems and Optimization (18 papers) and Multi-Criteria Decision Making (14 papers). Reda Boukezzoula is often cited by papers focused on Fuzzy Logic and Control Systems (23 papers), Fuzzy Systems and Optimization (18 papers) and Multi-Criteria Decision Making (14 papers). Reda Boukezzoula collaborates with scholars based in France. Reda Boukezzoula's co-authors include Sylvie Galichet, Laurent Foulloy, Didier Coquin, Georges Habchi, Luc Jaulin, Thanh-Long Nguyen, Thanh Long Nguyen and Alexandre Benoît and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Reda Boukezzoula

39 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reda Boukezzoula France 14 240 168 157 147 51 39 452
Cinthia Peraza Mexico 12 292 1.2× 109 0.6× 81 0.5× 43 0.3× 12 0.2× 23 400
Gerardo Maximiliano Méndez Mexico 11 328 1.4× 123 0.7× 78 0.5× 57 0.4× 12 0.2× 47 478
Wen-June Wang Taiwan 5 130 0.5× 97 0.6× 41 0.3× 134 0.9× 6 0.1× 8 337
Pınar Tüfekçi Türkiye 6 185 0.8× 70 0.4× 43 0.3× 34 0.2× 17 0.3× 12 366
John Harris United States 5 170 0.7× 45 0.3× 32 0.2× 151 1.0× 10 0.2× 11 390
Tuve Löfström Sweden 12 284 1.2× 49 0.3× 42 0.3× 18 0.1× 22 0.4× 56 467
L.T. Kóczy Hungary 8 305 1.3× 55 0.3× 62 0.4× 102 0.7× 5 0.1× 23 404
E. McCormick United States 3 395 1.6× 204 1.2× 52 0.3× 31 0.2× 9 0.2× 6 533
Patricia Ochoa Mexico 10 228 0.9× 81 0.5× 68 0.4× 24 0.2× 7 0.1× 22 312
Jean J. Saade Lebanon 10 169 0.7× 118 0.7× 131 0.8× 159 1.1× 3 0.1× 22 389

Countries citing papers authored by Reda Boukezzoula

Since Specialization
Citations

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

Fields of papers citing papers by Reda Boukezzoula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reda Boukezzoula

This figure shows the co-authorship network connecting the top 25 collaborators of Reda Boukezzoula. A scholar is included among the top collaborators of Reda Boukezzoula 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 Reda Boukezzoula. Reda Boukezzoula 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.
Boukezzoula, Reda, Luc Jaulin, & Didier Coquin. (2021). A new methodology for solving fuzzy systems of equations: Thick fuzzy sets based approach. Fuzzy Sets and Systems. 435. 107–128. 15 indexed citations
2.
Boukezzoula, Reda, et al.. (2021). Thick gradual sets and their computations: Application for determining the uncertain zone explored by an underwater robot. Engineering Applications of Artificial Intelligence. 102. 104287–104287. 4 indexed citations
3.
Boukezzoula, Reda & Didier Coquin. (2021). Interval-valued fuzzy regression: Philosophical and methodological issues. Applied Soft Computing. 103. 107145–107145. 7 indexed citations
4.
Coquin, Didier, et al.. (2019). Evidential two-step tree species recognition approach from leaves and bark. Expert Systems with Applications. 146. 113154–113154. 5 indexed citations
5.
Boukezzoula, Reda, et al.. (2019). A possibilistic regression based on gradual interval B-splines: Application for hyperspectral imaging lake sediments. Information Sciences. 510. 183–204. 1 indexed citations
6.
Boukezzoula, Reda, Luc Jaulin, & Laurent Foulloy. (2019). Thick gradual intervals: An alternative interpretation of type-2 fuzzy intervals and its potential use in type-2 fuzzy computations. Engineering Applications of Artificial Intelligence. 85. 691–712. 8 indexed citations
7.
Boukezzoula, Reda, Sylvie Galichet, & Laurent Foulloy. (2018). Min and Max Operators for Gradual Intervals. IEEE Transactions on Fuzzy Systems. 26(6). 3569–3578. 2 indexed citations
8.
Boukezzoula, Reda, et al.. (2017). Multi-sensor information fusion: Combination of fuzzy systems and evidence theory approaches in color recognition for the NAO humanoid robot. Robotics and Autonomous Systems. 100. 302–316. 21 indexed citations
9.
Boukezzoula, Reda, et al.. (2015). Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence. Advances in intelligent systems research. 3 indexed citations
10.
Boukezzoula, Reda, et al.. (2012). A Mathematical Model for HVLV Systems Scheduling and Optimization With Periodic Preventive Maintenance Using (max, +) Algebra. IFAC Proceedings Volumes. 45(6). 1035–1040. 1 indexed citations
11.
Boukezzoula, Reda, et al.. (2011). Multi-objective supervisory flow control based on fuzzy interval arithmetic: Application for scheduling of manufacturing systems. Simulation Modelling Practice and Theory. 19(5). 1371–1383. 9 indexed citations
12.
Boukezzoula, Reda, et al.. (2011). A Midpoint–Radius approach to regression with interval data. International Journal of Approximate Reasoning. 52(9). 1257–1271. 26 indexed citations
13.
Boukezzoula, Reda, et al.. (2010). A revisited approach to linear fuzzy regression using trapezoidal fuzzy intervals. Information Sciences. 180(19). 3653–3673. 52 indexed citations
14.
15.
Boukezzoula, Reda, et al.. (2008). MIN and MAX operators for trapezoidal fuzzy intervals Part II: Analytical expressions proof. 2339–2344. 1 indexed citations
16.
Boukezzoula, Reda, Sylvie Galichet, & Laurent Foulloy. (2007). Fuzzy Feedback Linearizing Controller and Its Equivalence With the Fuzzy Nonlinear Internal Model Control Structure. International Journal of Applied Mathematics and Computer Science. 17(2). 233–248. 22 indexed citations
17.
Boukezzoula, Reda, et al.. (2005). Exact solving of the fuzzy equation: A.X/sup 2/ + B.X = C. 1110–1115. 2 indexed citations
18.
Boukezzoula, Reda, Sylvie Galichet, & Laurent Foulloy. (2003). Nonlinear internal model control: application of inverse model based fuzzy control. IEEE Transactions on Fuzzy Systems. 11(6). 814–829. 59 indexed citations
19.
Galichet, Sylvie, Reda Boukezzoula, & Laurent Foulloy. (2003). Explicit analytical formulation and exact inversion of decomposable fuzzy systems with singleton consequents. Fuzzy Sets and Systems. 146(3). 421–436. 23 indexed citations
20.
Boukezzoula, Reda, Sylvie Galichet, & Laurent Foulloy. (2003). Fuzzy adaptive control for nonlinear systems. Real-time implementation for a robot wrist. Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228). 5. 4364–4369. 1 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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