Fantine Mordelet
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Genomics and Chromatin Dynamics
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Imbalanced Data Classification Techniques
Papers in
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- Gene Regulatory Network Analysis 3
- Genomics and Chromatin Dynamics 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Molecular Biology Techniques and Applications 1
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- Machine Learning and Algorithms 1
- Imbalanced Data Classification Techniques 1
- Co-authors
- Jean‐Philippe Vert (5 shared papers)Paola Vera‐Licona (1 shared paper)Barbara E. Engelhardt (2 shared papers)Raluca Gordân (1 shared paper)Alexander J. Hartemink (1 shared paper)J.R. Horton (1 shared paper)Athma A. Pai (1 shared paper)Derek Aguiar (1 shared paper)
- Journals
- Bioinformatics (2 papers)BMC Systems Biology (1 paper)BMC Bioinformatics (1 paper)Pattern Recognition Letters (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Fantine Mordelet
7 papers receiving 852 citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 546
- Artificial Intelligence 171
- Computational Theory and Mathematics 62
- Health Information Management 14
- Cancer Research 23
Countries citing papers authored by Fantine Mordelet
This map shows the geographic impact of Fantine Mordelet'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 Fantine Mordelet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fantine Mordelet more than expected).
Fields of papers citing papers by Fantine Mordelet
This network shows the impact of papers produced by Fantine Mordelet. 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 Fantine Mordelet. The network helps show where Fantine Mordelet may publish in the future.
Co-authors
The 9 scholars most cited alongside Fantine Mordelet, 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 | 295 | |
| 2 | 2013 | 242 | |
| 3 | 2008 | 142 | |
| 4 | 2011 | 136 | |
| 5 | 2013 | 43 | |
| 6 | 2018 | 9 | |
| 7 | 2012 | 3 |
About Fantine Mordelet
Fantine Mordelet is a scholar working on Molecular Biology, Artificial Intelligence, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 7 papers that have together received 870 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Genomics and Chromatin Dynamics (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Machine Learning and Algorithms (1 paper), Imbalanced Data Classification Techniques (1 paper), Gene expression and cancer classification (1 paper), Bioinformatics and Genomic Networks (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (546 citations), Artificial Intelligence (171 citations), Computational Theory and Mathematics (62 citations), Health Information Management (14 citations) and Cancer Research (23 citations). Fantine Mordelet has collaborated with scholars based in United States and France. Frequent co-authors include Jean‐Philippe Vert, Paola Vera‐Licona, Barbara E. Engelhardt, Raluca Gordân, Alexander J. Hartemink, J.R. Horton, Athma A. Pai, Derek Aguiar and Bianca Dumitrascu. Their work appears in journals such as Bioinformatics, BMC Systems Biology, BMC Bioinformatics, Pattern Recognition Letters and Nature Communications.
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.