Abdelkader Mokkadem

998 total citations
37 papers, 554 citations indexed

About

Abdelkader Mokkadem is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Abdelkader Mokkadem has authored 37 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 8 papers in Mathematical Physics. Recurrent topics in Abdelkader Mokkadem's work include Statistical Methods and Inference (15 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Stochastic processes and statistical mechanics (5 papers). Abdelkader Mokkadem is often cited by papers focused on Statistical Methods and Inference (15 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Stochastic processes and statistical mechanics (5 papers). Abdelkader Mokkadem collaborates with scholars based in France and Algeria. Abdelkader Mokkadem's co-authors include Mariane Pelletier, Yousri Slaoui, Javier Ibañez‐Guzmán and Stéphanie Lefèvre and has published in prestigious journals such as IEEE Transactions on Information Theory, Expert Systems with Applications and The Annals of Statistics.

In The Last Decade

Abdelkader Mokkadem

34 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abdelkader Mokkadem France 12 266 203 109 94 87 37 554
Τ. N. Sriram United States 13 371 1.4× 210 1.0× 112 1.0× 95 1.0× 45 0.5× 51 566
Wen‐Xin Zhou United States 14 399 1.5× 163 0.8× 66 0.6× 28 0.3× 56 0.6× 48 686
Masashi Okamoto Japan 11 398 1.5× 207 1.0× 55 0.5× 31 0.3× 40 0.5× 38 710
Václav Fabian United States 12 311 1.2× 296 1.5× 96 0.9× 47 0.5× 67 0.8× 37 808
Werner Linde Germany 11 135 0.5× 67 0.3× 285 2.6× 286 3.0× 37 0.4× 43 659
Pradeep Ravikumar United States 9 454 1.7× 359 1.8× 30 0.3× 19 0.2× 71 0.8× 17 846
R. C. H. Cheng United Kingdom 14 277 1.0× 173 0.9× 64 0.6× 16 0.2× 29 0.3× 31 644
Arunabha Bagchi Netherlands 12 45 0.2× 125 0.6× 98 0.9× 32 0.3× 150 1.7× 69 438
Jacek Leśkow Poland 15 72 0.3× 99 0.5× 64 0.6× 21 0.2× 170 2.0× 42 501

Countries citing papers authored by Abdelkader Mokkadem

Since Specialization
Citations

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

Fields of papers citing papers by Abdelkader Mokkadem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdelkader Mokkadem

This figure shows the co-authorship network connecting the top 25 collaborators of Abdelkader Mokkadem. A scholar is included among the top collaborators of Abdelkader Mokkadem 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 Abdelkader Mokkadem. Abdelkader Mokkadem 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.
Mokkadem, Abdelkader, et al.. (2023). SufRec, an algorithm for mining association rules: Recursivity and task parallelism. Expert Systems with Applications. 236. 121321–121321. 1 indexed citations
2.
Mokkadem, Abdelkader, et al.. (2023). Association rules and decision rules. Statistical Analysis and Data Mining The ASA Data Science Journal. 16(5). 411–435. 1 indexed citations
3.
Mokkadem, Abdelkader & Mariane Pelletier. (2020). Online estimation of integrated squared density derivatives. Statistics & Probability Letters. 166. 108880–108880.
4.
Mokkadem, Abdelkader, et al.. (2017). Online estimation of hazard rate under random censoring. Journal of Statistical Planning and Inference. 196. 87–104. 3 indexed citations
5.
Mokkadem, Abdelkader & Mariane Pelletier. (2016). The multivariate Révész’s online estimator of a regression function and its averaging. Mathematical Methods of Statistics. 25(3). 151–167. 3 indexed citations
6.
Mokkadem, Abdelkader, et al.. (2008). Large and moderate deviations principles for kernel estimators of the multivariate regression. Mathematical Methods of Statistics. 17(2). 146–172. 9 indexed citations
7.
Mokkadem, Abdelkader & Mariane Pelletier. (2008). Compact Law of the Iterated Logarithm for Matrix-Normalized Sums of Random Vectors. Theory of Probability and Its Applications. 52(4). 636–650. 6 indexed citations
8.
Mokkadem, Abdelkader, Abdelkader Mokkadem, Mariane Pelletier, & Mariane Pelletier. (2007). Compact Law of the Iterated Logarithm for Matrix-Normalized Sums of Random Vectors. Теория вероятностей и ее применения. 52(4). 752–767. 4 indexed citations
9.
Mokkadem, Abdelkader & Mariane Pelletier. (2007). A companion for the Kiefer–Wolfowitz–Blum stochastic approximation algorithm. The Annals of Statistics. 35(4). 39 indexed citations
10.
Mokkadem, Abdelkader, et al.. (2006). Large and Moderate Deviations Principles for Recursive Kernel Estimator of a Multivariate Density and its Partial Derivatives. Bulgarian Digital Mathematics Library (BulDML) at IMI-BAS (Institute of Mathematics and Informatics). 32(4). 323–354. 3 indexed citations
11.
Mokkadem, Abdelkader, et al.. (2006). A Large Deviations Upper Bound for the Kernel Mode Estimator. Theory of Probability and Its Applications. 50(1). 153–165. 4 indexed citations
12.
Mokkadem, Abdelkader & Mariane Pelletier. (2005). The Compact Law of the Iterated Logarithm for Multivariate Stochastic Approximation Algorithms. Stochastic Analysis and Applications. 23(1). 181–203. 4 indexed citations
13.
Mokkadem, Abdelkader, et al.. (2003). States Spaces of the Snake and Its Tour—Convergence of the Discrete Snake. Journal of Theoretical Probability. 16(4). 1015–1046. 24 indexed citations
14.
Mokkadem, Abdelkader & Mariane Pelletier. (2003). The law of the iterated logarithm for the multivariate kernel mode estimator. ESAIM Probability and Statistics. 7. 1–21. 17 indexed citations
15.
Mokkadem, Abdelkader, et al.. (2003). Ladder variables, internal structure of Galton–Watson trees and finite branching random walks. Journal of Applied Probability. 40(3). 671–689. 6 indexed citations
16.
Mokkadem, Abdelkader, et al.. (2001). Testing Hypotheses on fouriercoefficients in non parametricregression model. Journal of nonparametric statistics. 13(5). 605–629. 2 indexed citations
17.
Mokkadem, Abdelkader. (1990). Propriétés de mélange des processus autorégressifs polynomiaux. French digital mathematics library (Numdam). 26(2). 219–260. 33 indexed citations
18.
Mokkadem, Abdelkader. (1989). Orbites de semi-groupes de morphismes réguliers et systèmes non linéaires en temps discret. Forum Mathematicum. 1(1). 5 indexed citations
19.
Mokkadem, Abdelkader. (1988). Mixing properties of ARMA processes. Stochastic Processes and their Applications. 29(2). 309–315. 101 indexed citations
20.
Mokkadem, Abdelkader. (1987). SUR UN MODÉLE AUTORÉGRESSIF NON LINÉAIRE, ERGODICITÉ ET ERGODICITÉ GÉOMÉTRIQUE. Journal of Time Series Analysis. 8(2). 195–204. 35 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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