Mohamed Bouguessa

994 total citations
42 papers, 614 citations indexed

About

Mohamed Bouguessa is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Mohamed Bouguessa has authored 42 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 18 papers in Statistical and Nonlinear Physics and 10 papers in Information Systems. Recurrent topics in Mohamed Bouguessa's work include Complex Network Analysis Techniques (18 papers), Advanced Clustering Algorithms Research (9 papers) and Advanced Graph Neural Networks (8 papers). Mohamed Bouguessa is often cited by papers focused on Complex Network Analysis Techniques (18 papers), Advanced Clustering Algorithms Research (9 papers) and Advanced Graph Neural Networks (8 papers). Mohamed Bouguessa collaborates with scholars based in Canada, Bahrain and United Kingdom. Mohamed Bouguessa's co-authors include Shengrui Wang, Benoît Dumoulin, Haojun Sun, Lotfi Romdhane, Riadh Ksantini, Qingshan Jiang, Naouel Moha, Mohammed Talbi, Rokia Missaoui and Abdoulaye Baniré Diallo and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Neurocomputing.

In The Last Decade

Mohamed Bouguessa

38 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Bouguessa Canada 11 388 250 177 134 90 42 614
Xiangyu Song China 11 538 1.4× 142 0.6× 52 0.3× 130 1.0× 160 1.8× 28 746
Guoyong Cai China 10 279 0.7× 165 0.7× 82 0.5× 47 0.4× 30 0.3× 53 494
Yintao Yu United States 8 578 1.5× 282 1.1× 450 2.5× 28 0.2× 104 1.2× 11 931
Shulong Tan China 15 576 1.5× 351 1.4× 194 1.1× 18 0.1× 270 3.0× 27 895
Xianyong Li China 12 332 0.9× 100 0.4× 138 0.8× 16 0.1× 64 0.7× 86 615
Shiwan Zhao China 15 545 1.4× 482 1.9× 91 0.5× 18 0.1× 149 1.7× 56 917
Mohamed Aly United States 13 659 1.7× 345 1.4× 90 0.5× 21 0.2× 269 3.0× 28 1.1k
Emmanuel Viennet France 15 160 0.4× 155 0.6× 115 0.6× 24 0.2× 158 1.8× 42 488
Jianzong Wang China 15 702 1.8× 184 0.7× 94 0.5× 25 0.2× 143 1.6× 156 1000
Alessandro Epasto United States 10 204 0.5× 117 0.5× 177 1.0× 19 0.1× 57 0.6× 26 471

Countries citing papers authored by Mohamed Bouguessa

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Bouguessa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Bouguessa

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Bouguessa. A scholar is included among the top collaborators of Mohamed Bouguessa 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 Mohamed Bouguessa. Mohamed Bouguessa 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.
Bouguessa, Mohamed, et al.. (2023). A contrastive variational graph auto-encoder for node clustering. Pattern Recognition. 149. 110209–110209. 9 indexed citations
2.
Bouguessa, Mohamed, et al.. (2023). Exploring the Interaction between Local and Global Latent Configurations for Clustering Single-Cell RNA-Seq: A Unified Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 9235–9242.
3.
4.
Bouguessa, Mohamed, et al.. (2023). Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data. 4855–4863. 1 indexed citations
5.
Bouguessa, Mohamed, et al.. (2023). Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding. IEEE Transactions on Knowledge and Data Engineering. 36(4). 1624–1637. 7 indexed citations
6.
Bouguessa, Mohamed, et al.. (2022). Graph Attention Network for Camera Relocalization on Dynamic Scenes. 20. 1–10. 1 indexed citations
7.
Bouguessa, Mohamed, et al.. (2021). Data Mining for Cyberbullying and Harassment Detection in Arabic Texts. International Journal of Information Technology and Computer Science. 13(5). 41–50. 9 indexed citations
8.
Bouguessa, Mohamed, et al.. (2021). Mining Customers’ Changeable Electricity Consumption for Effective Load Forecasting. ACM Transactions on Intelligent Systems and Technology. 12(4). 1–26. 4 indexed citations
9.
Bouguessa, Mohamed, et al.. (2021). Exploring the representational power of graph autoencoder. Neurocomputing. 457. 225–241. 4 indexed citations
10.
Bouguessa, Mohamed, et al.. (2018). Modeling and Predicting Community Structure Changes in Time-Evolving Social Networks. IEEE Transactions on Knowledge and Data Engineering. 31(6). 1166–1180. 38 indexed citations
11.
Bouguessa, Mohamed, et al.. (2017). MCDA. 291–296. 2 indexed citations
12.
Bouguessa, Mohamed, et al.. (2017). Survival analysis for modeling critical events that communities may undergo in dynamic social networks. 1068–1075. 2 indexed citations
13.
Bouguessa, Mohamed, et al.. (2017). Mining Community Structures in Multidimensional Networks. ACM Transactions on Knowledge Discovery from Data. 11(4). 1–36. 22 indexed citations
14.
Bouguessa, Mohamed. (2015). A practical outlier detection approach for mixed-attribute data. Expert Systems with Applications. 42(22). 8637–8649. 28 indexed citations
15.
Bouguessa, Mohamed & Lotfi Romdhane. (2015). Identifying Authorities in Online Communities. ACM Transactions on Intelligent Systems and Technology. 6(3). 1–23. 41 indexed citations
16.
Bouguessa, Mohamed, et al.. (2015). A model-based approach for identifying spammers in social networks. 1–9. 4 indexed citations
17.
Bouguessa, Mohamed. (2013). Clustering categorical data in projected spaces. Data Mining and Knowledge Discovery. 29(1). 3–38. 20 indexed citations
18.
Bouguessa, Mohamed, Shengrui Wang, & Benoît Dumoulin. (2010). Discovering Knowledge-Sharing Communities in Question-Answering Forums. ACM Transactions on Knowledge Discovery from Data. 5(1). 1–49. 10 indexed citations
19.
Bouguessa, Mohamed, Shengrui Wang, & Haojun Sun. (2006). An objective approach to cluster validation. Pattern Recognition Letters. 27(13). 1419–1430. 80 indexed citations
20.
Bouguessa, Mohamed, Shengrui Wang, & Qingshan Jiang. (2006). A K-means-based Algorithm for Projective Clustering. 888–891. 5 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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