Khalid Benabdeslem

600 total citations
28 papers, 295 citations indexed

About

Khalid Benabdeslem is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Khalid Benabdeslem has authored 28 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Khalid Benabdeslem's work include Face and Expression Recognition (11 papers), Text and Document Classification Technologies (10 papers) and Neural Networks and Applications (7 papers). Khalid Benabdeslem is often cited by papers focused on Face and Expression Recognition (11 papers), Text and Document Classification Technologies (10 papers) and Neural Networks and Applications (7 papers). Khalid Benabdeslem collaborates with scholars based in France, Algeria and Tunisia. Khalid Benabdeslem's co-authors include Mohammed Hindawi, Younès Bennani, Haytham Elghazel, Mustapha Lebbah, Fabio Casati, Hamamache Kheddouci, Boualem Benatallah, Mona Kanaan, Souleyman Chaib and Christian Obrecht and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering and Neural Computing and Applications.

In The Last Decade

Khalid Benabdeslem

24 papers receiving 283 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Khalid Benabdeslem France 8 189 114 56 33 25 28 295
Dragos D. Margineantu United States 6 404 2.1× 136 1.2× 38 0.7× 31 0.9× 26 1.0× 12 510
Mathias Berglund Finland 5 137 0.7× 80 0.7× 32 0.6× 11 0.3× 16 0.6× 5 247
Xuchun Li Singapore 4 172 0.9× 179 1.6× 51 0.9× 36 1.1× 19 0.8× 5 437
Zhaoyue Zhang China 8 211 1.1× 65 0.6× 51 0.9× 38 1.2× 45 1.8× 25 398
T. Krishnan India 8 109 0.6× 47 0.4× 35 0.6× 26 0.8× 32 1.3× 28 301
Dalila B. Megherbi United States 9 106 0.6× 164 1.4× 23 0.4× 20 0.6× 34 1.4× 85 366
Hanene Azzag France 9 185 1.0× 86 0.8× 58 1.0× 10 0.3× 27 1.1× 22 260
Kareem Kamal A. Ghany Egypt 9 130 0.7× 114 1.0× 92 1.6× 18 0.5× 20 0.8× 17 307
F. Desobry France 7 174 0.9× 54 0.5× 91 1.6× 16 0.5× 31 1.2× 10 346

Countries citing papers authored by Khalid Benabdeslem

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Benabdeslem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khalid Benabdeslem

This figure shows the co-authorship network connecting the top 25 collaborators of Khalid Benabdeslem. A scholar is included among the top collaborators of Khalid Benabdeslem 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 Khalid Benabdeslem. Khalid Benabdeslem 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.
Benabdeslem, Khalid, et al.. (2023). mFILS: Tri-Selection via Convex and Nonconvex Regularizations. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 9871–9884. 1 indexed citations
2.
Benabdeslem, Khalid, et al.. (2023). RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression. SPIRE - Sciences Po Institutional REpository. 14. 99–105. 1 indexed citations
3.
Casati, Fabio, et al.. (2022). Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention. Iris (University of Trento). 9582–9602. 6 indexed citations
4.
Benabdeslem, Khalid, et al.. (2022). Adversarial Multi - View Domain Adaptation for Regression. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8.
5.
Benatallah, Boualem, et al.. (2022). Iterative adversarial removal of gender bias in pretrained word embeddings. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. 829–836. 5 indexed citations
6.
Obrecht, Christian, et al.. (2022). Query-adaptive training data recommendation for cross-building predictive modeling. Knowledge and Information Systems. 65(2). 707–732.
7.
Benabdeslem, Khalid, et al.. (2021). Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model. IEEE Transactions on Neural Networks and Learning Systems. 33(11). 6701–6711. 20 indexed citations
8.
Benabdeslem, Khalid, et al.. (2021). Deep Multi-View Learning for Tire Recommendation. arXiv (Cornell University). 162. 1–8.
9.
Benabdeslem, Khalid, et al.. (2021). 3-3FS: ensemble method for semi-supervised multi-label feature selection. Knowledge and Information Systems. 63(11). 2969–2999. 6 indexed citations
10.
Benabdeslem, Khalid, et al.. (2020). sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach. IEEE Transactions on Knowledge and Data Engineering. 34(6). 2899–2911. 6 indexed citations
11.
Kanaan, Mona, Khalid Benabdeslem, & Hamamache Kheddouci. (2020). A Generative Time Series Clustering Framework Based on an Ensemble Mixture of HMMs. HAL (Le Centre pour la Communication Scientifique Directe). 793–798. 2 indexed citations
12.
Benabdeslem, Khalid, et al.. (2019). Reducing Traffic Congestion by LSTM-LOF Framework. 51462. 1–8. 2 indexed citations
13.
Benabdeslem, Khalid, et al.. (2017). Unsupervised outlier detection for time series by entropy and dynamic time warping. Knowledge and Information Systems. 54(2). 463–486. 46 indexed citations
14.
Benabdeslem, Khalid, et al.. (2016). Semi-supervised co-selection: Features and instances by a weighting approach. 220. 3477–3484. 1 indexed citations
15.
Benabdeslem, Khalid, Haytham Elghazel, & Mohammed Hindawi. (2015). Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection. Knowledge and Information Systems. 49(3). 1161–1185. 15 indexed citations
16.
Elghazel, Haytham & Khalid Benabdeslem. (2013). Different Aspects of Clustering The Self-Organizing Maps. Neural Processing Letters. 39(1). 97–114. 5 indexed citations
17.
Benabdeslem, Khalid & Mohammed Hindawi. (2013). Efficient Semi-Supervised Feature Selection: Constraint, Relevance, and Redundancy. IEEE Transactions on Knowledge and Data Engineering. 26(5). 1131–1143. 67 indexed citations
18.
Elghazel, Haytham, et al.. (2010). Clustering With Constraints Using Graph Based Approach. HAL (Le Centre pour la Communication Scientifique Directe).
19.
Benabdeslem, Khalid & Mustapha Lebbah. (2007). Feature Selection for Self-Organizing Map. 45–50. 8 indexed citations
20.
Benabdeslem, Khalid & Younès Bennani. (2006). Dendogram-based SVM for Multi-Class Classification. Journal of Computing and Information Technology. 14(4). 283–283. 41 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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