Béatrice Duval

1.2k total citations
20 papers, 540 citations indexed

About

Béatrice Duval is a scholar working on Molecular Biology, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Béatrice Duval has authored 20 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Artificial Intelligence and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Béatrice Duval's work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Scheduling and Timetabling Solutions (4 papers). Béatrice Duval is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers) and Scheduling and Timetabling Solutions (4 papers). Béatrice Duval collaborates with scholars based in France, China and Australia. Béatrice Duval's co-authors include Jin‐Kao Hao, Yangming Zhou, Xing-Ming Zhao, Luonan Chen, Keqin Liu, Zhi‐Ping Liu, Xiujun Zhang, Thomas Cauchy, De-Shuang Huang and Guanghui Zhu and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Béatrice Duval

19 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Béatrice Duval France 12 297 141 102 88 68 20 540
Giuseppe Lancia Italy 16 543 1.8× 190 1.3× 156 1.5× 140 1.6× 13 0.2× 49 942
Yanglan Gan China 15 296 1.0× 173 1.2× 38 0.4× 9 0.1× 42 0.6× 75 658
Xianjun Shen China 10 170 0.6× 62 0.4× 78 0.8× 18 0.2× 18 0.3× 54 304
Stephanus Daniel Handoko Singapore 11 204 0.7× 156 1.1× 318 3.1× 53 0.6× 3 0.0× 18 545
Feng Shi China 11 142 0.5× 42 0.3× 56 0.5× 52 0.6× 4 0.1× 62 311
Jianxiu Hao China 10 71 0.2× 22 0.2× 137 1.3× 34 0.4× 11 0.2× 20 320
Jianrui Chen China 14 39 0.1× 122 0.9× 17 0.2× 74 0.8× 16 0.2× 54 508
Yongsheng Rao China 10 72 0.2× 53 0.4× 94 0.9× 4 0.0× 66 1.0× 62 359
Alex Thomas United States 6 184 0.6× 168 1.2× 19 0.2× 30 0.3× 40 0.6× 8 566

Countries citing papers authored by Béatrice Duval

Since Specialization
Citations

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

Fields of papers citing papers by Béatrice Duval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Béatrice Duval

This figure shows the co-authorship network connecting the top 25 collaborators of Béatrice Duval. A scholar is included among the top collaborators of Béatrice Duval 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 Béatrice Duval. Béatrice Duval 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.
Duval, Béatrice, et al.. (2021). Evolutionary Local Search Algorithm for the biclustering of gene expression data based on biological knowledge. Applied Soft Computing. 104. 107177–107177. 12 indexed citations
2.
Cauchy, Thomas, et al.. (2020). EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation. Journal of Cheminformatics. 12(1). 55–55. 43 indexed citations
3.
Duval, Béatrice, et al.. (2020). Population-based gradient descent weight learning for graph coloring problems. Knowledge-Based Systems. 212. 106581–106581. 11 indexed citations
4.
Legeay, Marc, Sébastien Aubourg, Jean‐Pierre Renou, & Béatrice Duval. (2018). Large scale study of anti-sense regulation by differential network analysis. BMC Systems Biology. 12(S5). 95–95. 1 indexed citations
5.
Duval, Béatrice, et al.. (2018). Evolutionary biclustering algorithms: an experimental study on microarray data. Soft Computing. 23(17). 7671–7697. 11 indexed citations
6.
Zhou, Yangming, Béatrice Duval, & Jin‐Kao Hao. (2018). Improving probability learning based local search for graph coloring. Applied Soft Computing. 65. 542–553. 28 indexed citations
7.
Zhou, Yangming, Jin‐Kao Hao, & Béatrice Duval. (2017). Opposition-Based Memetic Search for the Maximum Diversity Problem. IEEE Transactions on Evolutionary Computation. 21(5). 731–745. 63 indexed citations
8.
Zhou, Yangming, Jin‐Kao Hao, & Béatrice Duval. (2016). Reinforcement learning based local search for grouping problems: A case study on graph coloring. Expert Systems with Applications. 64. 412–422. 47 indexed citations
9.
Legeay, Marc, Béatrice Duval, & Jean‐Pierre Renou. (2016). Inference and differential analysis of Extended Core Networks: A way to study anti-sense regulation. HAL (Le Centre pour la Communication Scientifique Directe). 3. 284–287. 1 indexed citations
10.
Nguyên, Ngoc Thanh, et al.. (2015). Transactions on Computational Collective Intelligence XX. Lecture notes in computer science. 3 indexed citations
11.
Tessier, Dominique, et al.. (2014). In silico evaluation of the influence of the translocon on partitioning of membrane segments. BMC Bioinformatics. 15(1). 156–156. 1 indexed citations
12.
Zhao, Xing-Ming, Guanghui Zhu, Béatrice Duval, et al.. (2014). Identifying cancer-related microRNAs based on gene expression data. Bioinformatics. 31(8). 1226–1234. 73 indexed citations
13.
Duval, Béatrice, et al.. (2014). Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1. 6 indexed citations
14.
Duval, Béatrice, et al.. (2012). Local search method based on biological knowledge for the biclustering of gene expression data. 6(2). 65. 2 indexed citations
15.
Zhang, Xiujun, Keqin Liu, Zhi‐Ping Liu, et al.. (2012). NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference. Bioinformatics. 29(1). 106–113. 116 indexed citations
16.
Duval, Béatrice, et al.. (2010). A hybrid LDA and genetic algorithm for gene selection and classification of microarray data. Neurocomputing. 73(13-15). 2375–2383. 51 indexed citations
17.
Duval, Béatrice & Jin‐Kao Hao. (2009). Advances in metaheuristics for gene selection and classification of microarray data. Briefings in Bioinformatics. 11(1). 127–141. 49 indexed citations
18.
Duval, Béatrice, et al.. (2008). Fuzzy Logic for Elimination of Redundant Information of Microarray Data. Genomics Proteomics & Bioinformatics. 6(2). 61–73. 21 indexed citations
19.
Duval, Béatrice, et al.. (2004). Interactive Refinement of a Knowledge Base.. The Florida AI Research Society. 325–330. 1 indexed citations
20.
Duval, Béatrice & Yves Kodratoff. (1986). Automated deduction in an uncertain and inconsistent data basis. European Conference on Artificial Intelligence. 297–304.

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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