Mustapha Lebbah

920 total citations
60 papers, 468 citations indexed

About

Mustapha Lebbah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Mustapha Lebbah has authored 60 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 21 papers in Signal Processing. Recurrent topics in Mustapha Lebbah's work include Advanced Clustering Algorithms Research (21 papers), Neural Networks and Applications (17 papers) and Image Retrieval and Classification Techniques (11 papers). Mustapha Lebbah is often cited by papers focused on Advanced Clustering Algorithms Research (21 papers), Neural Networks and Applications (17 papers) and Image Retrieval and Classification Techniques (11 papers). Mustapha Lebbah collaborates with scholars based in France, Tunisia and Algeria. Mustapha Lebbah's co-authors include Hanene Azzag, Younès Bennani, Tarn Duong, Muhammad Waqas, Christine Provost, Zahid Halim, Martín Saraceno, Shanshan Tu, Muhammad Sulaiman and Christine Zarges and has published in prestigious journals such as Neural Networks, Machine Learning and Pattern Recognition Letters.

In The Last Decade

Mustapha Lebbah

51 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mustapha Lebbah France	14	276	135	85	79	75	60	468
Zhao Li China	12	248 0.9×	135 1.0×	54 0.6×	35 0.4×	65 0.9×	50	463
Chih‐Hung Wu Taiwan	11	240 0.9×	69 0.5×	125 1.5×	59 0.7×	193 2.6×	46	514
Heeyoul Choi South Korea	14	201 0.7×	170 1.3×	140 1.6×	82 1.0×	36 0.5×	55	681
Kamalika Das United States	11	218 0.8×	62 0.5×	73 0.9×	47 0.6×	52 0.7×	33	454
Amer Aljaedi Saudi Arabia	12	170 0.6×	184 1.4×	167 2.0×	74 0.9×	159 2.1×	74	540
Yongjiao Sun China	12	233 0.8×	58 0.4×	63 0.7×	65 0.8×	59 0.8×	35	403
Longjie Li China	15	405 1.5×	63 0.5×	172 2.0×	83 1.1×	52 0.7×	56	694
Changyou Zhang China	11	153 0.6×	53 0.4×	118 1.4×	43 0.5×	95 1.3×	49	451
Xujun Zhao China	13	237 0.9×	99 0.7×	60 0.7×	106 1.3×	61 0.8×	33	479
Tianqiang Huang China	15	226 0.8×	326 2.4×	42 0.5×	40 0.5×	73 1.0×	51	661

Countries citing papers authored by Mustapha Lebbah

Since Specialization

Citations

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

Fields of papers citing papers by Mustapha Lebbah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mustapha Lebbah

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

All Works

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20 of 20 papers shown

Lebbah, Mustapha, et al.. (2024). Context normalization: A new approach for the stability and improvement of neural network performance. Data & Knowledge Engineering. 155. 102371–102371. 1 indexed citations

Geloun, Joseph Ben, et al.. (2024). HDBSCAN for 3-rd order tensor. 351–356. 1 indexed citations

Dagdia, Zaineb Chelly, et al.. (2024). Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models. Neural Computing and Applications. 36(30). 18583–18611.

Lebbah, Mustapha, et al.. (2022). Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Computational Statistics & Data Analysis. 176. 107565–107565. 1 indexed citations

Azzag, Hanene, et al.. (2022). Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. The Visual Computer. 1 indexed citations

Lebbah, Mustapha, et al.. (2021). Multi-Coclustering de séries temporelles multivariées. Appkication à la validation de systèmes d'aide à la conduite.. HAL (Le Centre pour la Communication Scientifique Directe).

Lebbah, Mustapha, et al.. (2021). An Invariance-guided Stability Criterion for Time Series Clustering Validation. SPIRE - Sciences Po Institutional REpository. 9296–9303. 4 indexed citations

Lebbah, Mustapha, et al.. (2018). Hierarchical Laplacian Score for unsupervised feature selection. 1–7. 3 indexed citations

Dagdia, Zaineb Chelly, et al.. (2018). A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. Aberystwyth Research portal (Aberystwyth University). 2597–2606. 9 indexed citations

10.

Azzag, Hanene, et al.. (2017). Big Data: from collection to visualization. Machine Learning. 106(6). 837–862. 1 indexed citations

11.

Dagdia, Zaineb Chelly, et al.. (2017). A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. Aberystwyth Research portal (Aberystwyth University). 9. 911–916. 13 indexed citations

12.

Lebbah, Mustapha, et al.. (2016). A new Growing Neural Gas for clustering data streams. Neural Networks. 78. 36–50. 36 indexed citations

13.

Lebbah, Mustapha, et al.. (2016). A new Model for Scalable θ-subsumption.. 41–47.

14.

Lebbah, Mustapha, et al.. (2012). Growing self-organizing trees for autonomous hierarchical clustering. Neural Networks. 41. 85–95. 4 indexed citations

15.

Lebbah, Mustapha, et al.. (2011). A SELF-ORGANIZING MAP FOR MIXED CONTINUOUS AND CATEGORICAL DATA. International Journal of Computing. 24–32. 3 indexed citations

16.

Azzag, Hanene & Mustapha Lebbah. (2011). Self-Organizing Tree Using Artificial Ants. Journal of Information Technology Research. 4(2). 1–16. 2 indexed citations

17.

Lebbah, Mustapha, et al.. (2008). Probabilistic Mixed Topological Map for Categorical and Continuous Data. 224–231. 4 indexed citations

18.

Lebbah, Mustapha, et al.. (2007). BeSOM :Bernoullion Self-OrganizingMap. 1 indexed citations

19.

Benabdeslem, Khalid & Mustapha Lebbah. (2007). Feature Selection for Self-Organizing Map. 45–50. 8 indexed citations

20.

Saraceno, Martín, Christine Provost, & Mustapha Lebbah. (2006). Biophysical regions identification using an artificial neuronal network: A case study in the South Western Atlantic. Advances in Space Research. 37(4). 793–805. 28 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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