Nabil Belacel

1.5k total citations
49 papers, 969 citations indexed

About

Nabil Belacel is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nabil Belacel has authored 49 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Molecular Biology and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nabil Belacel's work include Imbalanced Data Classification Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Gene expression and cancer classification (5 papers). Nabil Belacel is often cited by papers focused on Imbalanced Data Classification Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Gene expression and cancer classification (5 papers). Nabil Belacel collaborates with scholars based in Canada, United States and Belgium. Nabil Belacel's co-authors include Miroslava Čuperlović‐Culf, Yunguo Guan, Ali A. Ghorbani, Mohamed‐Rachid Boulassel, Rodney J. Ouellette, Guillaume Durand, Pierre Hansen, Nenad Mladenović, Feras Al‐Obeidat and Mohamed Rachid Boulassel and has published in prestigious journals such as Bioinformatics, European Journal of Operational Research and Pattern Recognition.

In The Last Decade

Nabil Belacel

46 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nabil Belacel Canada 18 441 192 141 140 124 49 969
Hisashi Kashima Japan 12 563 1.3× 171 0.9× 71 0.5× 65 0.5× 108 0.9× 28 1.0k
Jun Sakuma Japan 20 772 1.8× 139 0.7× 86 0.6× 170 1.2× 213 1.7× 120 1.3k
Michael Cochez Germany 16 881 2.0× 277 1.4× 165 1.2× 117 0.8× 228 1.8× 46 1.6k
Ricardo B. C. Prudêncio Brazil 19 711 1.6× 257 1.3× 82 0.6× 86 0.6× 262 2.1× 91 1.3k
Antoine Zimmermann France 13 749 1.7× 134 0.7× 231 1.6× 223 1.6× 291 2.3× 49 1.2k
Yun Xiong China 21 779 1.8× 245 1.3× 119 0.8× 119 0.8× 420 3.4× 116 1.4k
Claudia d’Amato Italy 13 986 2.2× 226 1.2× 232 1.6× 124 0.9× 342 2.8× 89 1.3k
Tossapon Boongoen Thailand 18 615 1.4× 160 0.8× 78 0.6× 111 0.8× 177 1.4× 59 994
Zied Elouedi Tunisia 15 518 1.2× 54 0.3× 183 1.3× 90 0.6× 195 1.6× 64 883

Countries citing papers authored by Nabil Belacel

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Belacel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil Belacel

This figure shows the co-authorship network connecting the top 25 collaborators of Nabil Belacel. A scholar is included among the top collaborators of Nabil Belacel 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 Nabil Belacel. Nabil Belacel 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.
2.
Wang, Jianguo, Nabil Belacel, Sam M. Doesburg, et al.. (2024). Enhancing Brain Age Prediction: A Generative AI Approach for EEG Machine Learning Models. NPARC. 1–6.
3.
Belacel, Nabil, et al.. (2024). Leveraging Large Language Models and Fuzzy Clustering for EEG Report Analysis. NPARC. 1–4. 1 indexed citations
4.
Belacel, Nabil, et al.. (2022). An LSTM Encoder-Decoder Approach for Unsupervised Online Anomaly Detection in Machine Learning Packages for Streaming Data. 2022 IEEE International Conference on Big Data (Big Data). 3348–3357. 2 indexed citations
5.
Belacel, Nabil, et al.. (2014). A Hierarchical Clustering Based Heuristic for Automatic Clustering. NPARC. 201–210.
6.
Al‐Obeidat, Feras & Nabil Belacel. (2011). Alternative approach for learning and improving the MCDA method PROAFTN. International Journal of Intelligent Systems. 26(5). 444–463. 2 indexed citations
7.
Čuperlović‐Culf, Miroslava, Nabil Belacel, Michelle Davey, & Rodney J. Ouellette. (2010). Multi-gene biomarker panel for reference free prostate cancer diagnosis: determination and independent validation. Biomarkers. 15(8). 693–706. 5 indexed citations
8.
Belacel, Nabil, et al.. (2009). Fuzzy Clustering with Improved Artificial Fish Swarm Algorithm. NPARC. 317–321. 27 indexed citations
9.
Bouachir, Wassim, et al.. (2009). Improving Bag of Visual Words Image Retrieval: A Fuzzy Weighting Scheme for Efficient Indexation. R-libre (Université Téluq). 55. 215–220. 13 indexed citations
10.
Čuperlović‐Culf, Miroslava, Nabil Belacel, Adrian S. Culf, et al.. (2009). NMR metabolic analysis of samples using fuzzy K‐means clustering. Magnetic Resonance in Chemistry. 47(S1). S96–104. 27 indexed citations
11.
Belacel, Nabil, et al.. (2009). Multicriteria PCF Design: An Accurate Photonic Crystal Fiber Design Tool. NPARC. 285. 252–256. 1 indexed citations
12.
Čuperlović‐Culf, Miroslava, Nabil Belacel, & Adrian S. Culf. (2008). Integrated analysis of transcriptomics and metabolomics profiles. Expert Opinion on Medical Diagnostics. 2(5). 497–509. 6 indexed citations
13.
Čuperlović‐Culf, Miroslava, Nabil Belacel, Adrian S. Culf, & Rodney J. Ouellette. (2006). Data analysis of alternative splicing microarrays. Drug Discovery Today. 11(21-22). 983–990. 13 indexed citations
14.
Čuperlović‐Culf, Miroslava, Nabil Belacel, & Rodney J. Ouellette. (2005). Determination of tumour marker genes from gene expression data. Drug Discovery Today. 10(6). 429–437. 28 indexed citations
15.
Belacel, Nabil, et al.. (2005). Web-Integration PROAFTN Methodology for Acute Leukemia Diagnosis. Telemedicine Journal and e-Health. 11(6). 652–659. 12 indexed citations
16.
Belacel, Nabil, Miroslava Čuperlović‐Culf, Mark Laflamme, & Rodney J. Ouellette. (2004). Fuzzy J-Means and VNS methods for clustering genes from microarray data. Bioinformatics. 20(11). 1690–1701. 44 indexed citations
17.
Belacel, Nabil & Mohamed‐Rachid Boulassel. (2001). Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis. Artificial Intelligence in Medicine. 21(1-3). 201–207. 53 indexed citations
18.
Belacel, Nabil, et al.. (2001). Acute leukemia diagnosis aid using multicriteria fuzzy assignment methodology. Computer Methods and Programs in Biomedicine. 64(2). 145–151. 35 indexed citations
19.
Belacel, Nabil & Mohamed‐Rachid Boulassel. (2000). PROAFTN: a fuzzy assignment method to grade bladder cancer malignancy using features generated by computer-assisted image analysis. Foundations of Computing and Decision Sciences. 37–47. 4 indexed citations
20.
Belacel, Nabil & Philippe Vincke. (2000). Méthodes de classification multicritère : méthodologie et applications à l'aide au diagnostic médical. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Hisashi Kashima Breakdown of academic impact, for papers by Jun Sakuma Breakdown of academic impact, for papers by Michael Cochez Breakdown of academic impact, for papers by Ricardo B. C. Prudêncio Breakdown of academic impact, for papers by Antoine Zimmermann Breakdown of academic impact, for papers by Yun Xiong Breakdown of academic impact, for papers by Claudia d’Amato Breakdown of academic impact, for papers by Tossapon Boongoen Breakdown of academic impact, for papers by Zied Elouedi
Rankless by CCL
2026