Robin Duqué
Impact in
- Artificial Intelligence top 5%
- Evolutionary Algorithms and Applications
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
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- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Molecular Biology Techniques and Applications
Papers in
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- Gene expression and cancer classification 8
- Bioinformatics and Genomic Networks 4
- Molecular Biology Techniques and Applications 3
- Machine Learning in Bioinformatics 1
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- Pharmaceutical industry and healthcare 1
- Co-authors
- Ann Nowé (8 shared papers)Colin Molter (8 shared papers)Stijn Meganck (8 shared papers)Cosmin Lazar (8 shared papers)Jonatan Taminau (8 shared papers)Hugues Bersini (8 shared papers)Alain Coletta (8 shared papers)David Steenhoff (8 shared papers)
- Journals
- Genome biology (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Bioinformatics (1 paper)Value in Health (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Robin Duqué
8 papers receiving 970 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 277
- Molecular Biology 521
- Cancer Research 86
- Computer Vision and Pattern Recognition 133
- Health Information Management 11
Countries citing papers authored by Robin Duqué
This map shows the geographic impact of Robin Duqué'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 Robin Duqué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robin Duqué more than expected).
Fields of papers citing papers by Robin Duqué
This network shows the impact of papers produced by Robin Duqué. 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 Robin Duqué. The network helps show where Robin Duqué may publish in the future.
Co-authors
The 13 scholars most cited alongside Robin Duqué, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 492 | |
| 2 | 2012 | 241 | |
| 3 | 2012 | 179 | |
| 4 | 2011 | 36 | |
| 5 | 2012 | 35 | |
| 6 | 2013 | 4 | |
| 7 | 2011 | 1 | |
| 8 | 2015 | 1 | |
| 9 | 2011 | 1 |
About Robin Duqué
Robin Duqué is a scholar working on Molecular Biology, Pharmacology, Genetics, Economics and Econometrics and Biophysics, having authored 9 papers that have together received 990 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (4 papers), Molecular Biology Techniques and Applications (3 papers), Machine Learning in Bioinformatics (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Pharmaceutical Economics and Policy (1 paper) and Pharmaceutical industry and healthcare (1 paper). The work is most often cited by research in Artificial Intelligence (277 citations), Molecular Biology (521 citations), Cancer Research (86 citations), Computer Vision and Pattern Recognition (133 citations) and Health Information Management (11 citations). Robin Duqué has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Ann Nowé, Colin Molter, Stijn Meganck, Cosmin Lazar, Jonatan Taminau, Hugues Bersini, Alain Coletta, David Steenhoff, Virginie de Schaetzen and David Solís. Their work appears in journals such as Genome biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics, Value in Health and Briefings in Bioinformatics.
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.