Lazhar Labiod

456 total citations
25 papers, 218 citations indexed

About

Lazhar Labiod is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Lazhar Labiod has authored 25 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Lazhar Labiod's work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (10 papers) and Complex Network Analysis Techniques (9 papers). Lazhar Labiod is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (10 papers) and Complex Network Analysis Techniques (9 papers). Lazhar Labiod collaborates with scholars based in France and Germany. Lazhar Labiod's co-authors include Mohamed Nadif, Nistor Grozavu and Younès Bennani and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Lazhar Labiod

22 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lazhar Labiod France 8 165 84 65 25 19 25 218
Yi Wen China 6 187 1.1× 162 1.9× 24 0.4× 22 0.9× 12 0.6× 8 257
Zhiping Lin China 3 320 1.9× 284 3.4× 98 1.5× 44 1.8× 18 0.9× 4 465
Weixuan Liang China 8 239 1.4× 266 3.2× 31 0.5× 14 0.6× 14 0.7× 17 356
Prateek Yadav India 10 122 0.7× 50 0.6× 46 0.7× 22 0.9× 6 0.3× 26 220
Markus Maier Germany 4 112 0.7× 87 1.0× 35 0.5× 14 0.6× 20 1.1× 4 186
Naiyao Liang China 9 202 1.2× 348 4.1× 16 0.2× 11 0.4× 22 1.2× 21 437
Lingxiao Zhao United States 6 106 0.6× 69 0.8× 35 0.5× 12 0.5× 8 0.4× 15 180
Zhitong Zhao China 4 204 1.2× 289 3.4× 30 0.5× 11 0.4× 14 0.7× 8 371
Ian En-Hsu Yen United States 10 279 1.7× 92 1.1× 24 0.4× 60 2.4× 22 1.2× 24 327
Anand Louis United States 7 97 0.6× 37 0.4× 64 1.0× 10 0.4× 9 0.5× 15 197

Countries citing papers authored by Lazhar Labiod

Since Specialization
Citations

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

Fields of papers citing papers by Lazhar Labiod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lazhar Labiod

This figure shows the co-authorship network connecting the top 25 collaborators of Lazhar Labiod. A scholar is included among the top collaborators of Lazhar Labiod 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 Lazhar Labiod. Lazhar Labiod 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.
Labiod, Lazhar, et al.. (2023). Scalable Attributed-Graph Subspace Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(6). 7559–7567. 13 indexed citations
2.
Labiod, Lazhar, et al.. (2023). Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering. SPIRE - Sciences Po Institutional REpository. 303–311. 7 indexed citations
3.
Labiod, Lazhar, et al.. (2023). Boosting Subspace Co-Clustering via Bilateral Graph Convolution. IEEE Transactions on Knowledge and Data Engineering. 36(3). 960–971. 4 indexed citations
4.
Labiod, Lazhar, et al.. (2022). Efficient and Effective Optimal Transport-Based Biclustering. SPIRE - Sciences Po Institutional REpository. 32989–33000.
5.
Labiod, Lazhar, et al.. (2022). CAEclust: A Consensus of Autoencoders Representations for Clustering. Image Processing On Line. 12. 590–603. 1 indexed citations
6.
Labiod, Lazhar, et al.. (2022). Efficient Graph Convolution for Joint Node Representation Learning and Clustering. HAL (Le Centre pour la Communication Scientifique Directe). 289–297. 19 indexed citations
7.
Labiod, Lazhar, et al.. (2021). Regularized Dual-PPMI Co-clustering for Text Data. HAL (Le Centre pour la Communication Scientifique Directe). 2263–2267. 4 indexed citations
8.
Labiod, Lazhar, et al.. (2021). TensorClus: A python library for tensor (Co)-clustering. Neurocomputing. 468. 464–468. 4 indexed citations
9.
Labiod, Lazhar, et al.. (2021). Implicit consensus clustering from multiple graphs. Data Mining and Knowledge Discovery. 35(6). 2313–2340. 6 indexed citations
10.
Labiod, Lazhar, et al.. (2020). Tensor latent block model for co-clustering. International Journal of Data Science and Analytics. 10(2). 161–175. 7 indexed citations
11.
Labiod, Lazhar & Mohamed Nadif. (2020). Efficient regularized spectral data embedding. Advances in Data Analysis and Classification. 15(1). 99–119. 6 indexed citations
12.
Labiod, Lazhar, et al.. (2018). Simultaneous Spectral Data Embedding and Clustering. IEEE Transactions on Neural Networks and Learning Systems. 29(12). 6396–6401. 17 indexed citations
13.
Labiod, Lazhar, et al.. (2016). Power Simultaneous Spectral Data Embedding and Clustering. 270–278. 4 indexed citations
14.
Labiod, Lazhar, et al.. (2016). Multi-manifold matrix decomposition for data co-clustering. Pattern Recognition. 64. 386–398. 10 indexed citations
15.
Labiod, Lazhar, et al.. (2016). A Semi-NMF-PCA Unified Framework for Data Clustering. IEEE Transactions on Knowledge and Data Engineering. 29(1). 2–16. 57 indexed citations
16.
Labiod, Lazhar, et al.. (2013). A topographical nonnegative matrix factorization algorithm. 42. 1–6. 1 indexed citations
17.
Grozavu, Nistor, Younès Bennani, & Lazhar Labiod. (2012). Feature space transformation for transfer learning. Zenodo (CERN European Organization for Nuclear Research). 16. 1–6.
18.
Labiod, Lazhar, et al.. (2012). A spectral algorithm for topographical Co-clustering. Zenodo (CERN European Organization for Nuclear Research). 24. 1–6.
19.
Labiod, Lazhar & Mohamed Nadif. (2011). Co-clustering for Binary and Categorical Data with Maximum Modularity. 1140–1145. 25 indexed citations
20.
Labiod, Lazhar, Nistor Grozavu, & Younès Bennani. (2010). Relational topological clustering. 1. 1–8. 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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