David Steenhoff
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
- Single-cell and spatial transcriptomics 1
- Genetics 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Hugues Bersini (8 shared papers)Robin Duqué (8 shared papers)Stijn Meganck (8 shared papers)Jonatan Taminau (8 shared papers)Colin Molter (8 shared papers)Ann Nowé (8 shared papers)Cosmin Lazar (8 shared papers)Alain Coletta (8 shared papers)
- Journals
- Genome biology (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Bioinformatics (1 paper)Briefings in Bioinformatics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- BelgiumUnited States
In The Last Decade
David Steenhoff
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 David Steenhoff
This map shows the geographic impact of David Steenhoff'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 David Steenhoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Steenhoff more than expected).
Fields of papers citing papers by David Steenhoff
This network shows the impact of papers produced by David Steenhoff. 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 David Steenhoff. The network helps show where David Steenhoff may publish in the future.
Co-authors
The 12 scholars most cited alongside David Steenhoff, 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 | 2011 | 1 |
About David Steenhoff
David Steenhoff is a scholar working on Molecular Biology, Genetics, Biophysics, Cancer Research and Infectious Diseases, having authored 8 papers that have together received 989 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), Genetic Mapping and Diversity in Plants and Animals (1 paper), Cancer-related molecular mechanisms research (1 paper), Single-cell and spatial transcriptomics (1 paper) and Cell Image Analysis Techniques (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). David Steenhoff has collaborated with scholars based in Belgium and United States. Frequent co-authors include Hugues Bersini, Robin Duqué, Stijn Meganck, Jonatan Taminau, Colin Molter, Ann Nowé, Cosmin Lazar, Alain Coletta, Virginie de Schaetzen and David Solís. Their work appears in journals such as Genome biology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Bioinformatics, Briefings in Bioinformatics and BMC 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.