Tim Hulsen
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Aging top 10%
Papers in
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- Artificial Intelligence in Healthcare and Education 6
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Jacob de VliegWynand AlkemaJason H. KarnesSaumya Shekhar JamuarAlan R. MoodyRoberto SpreaficoEoin McKinneyOrsolya Varga
- Journals
- BMC Bioinformatics (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (1 paper)BioData Mining (1 paper)FEBS Letters (1 paper)International Journal of Environmental Research and Public Health (1 paper)
- Partner nations
- NetherlandsUnited KingdomAustralia
In The Last Decade
Tim Hulsen
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 119
- Aging 36
- Health Information Management 78
- Molecular Biology 954
- Cancer Research 140
Countries citing papers authored by Tim Hulsen
This map shows the geographic impact of Tim Hulsen'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 Tim Hulsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Hulsen more than expected).
Fields of papers citing papers by Tim Hulsen
This network shows the impact of papers produced by Tim Hulsen. 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 Tim Hulsen. The network helps show where Tim Hulsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Hulsen, 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 | 2025 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 113 | |
| 5 | 2022 | 19 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 74 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 3 | |
| 11 | From Big Data to Precision Medicine Hit paper breakdown → | 2019 | 258 |
| 12 | 2018 | 1 | |
| 13 | 2013 | 4 | |
| 14 | 2008 | 8 | |
| 15 | BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams Hit paper breakdown → | 2008 | 1186 |
| 16 | 2008 | 10 | |
| 17 | 2007 | 88 | |
| 18 | 2006 | 11 | |
| 19 | 2006 | 11 | |
| 20 | 2004 | 44 |
About Tim Hulsen
Tim Hulsen is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Human-Computer Interaction, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Artificial Intelligence in Healthcare and Education (6 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Healthcare (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Biomedical Text Mining and Ontologies (3 papers), Artificial Intelligence in Healthcare (3 papers) and Prostate Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (119 citations), Aging (36 citations), Health Information Management (78 citations), Molecular Biology (954 citations) and Cancer Research (140 citations). Tim Hulsen has collaborated with scholars based in Netherlands, United Kingdom and Australia. Frequent co-authors include Jacob de Vlieg, Wynand Alkema, Jason H. Karnes, Saumya Shekhar Jamuar, Alan R. Moody, Roberto Spreafico, Eoin McKinney, Orsolya Varga, D Hafler and Renate Voit. Their work appears in journals such as BMC Bioinformatics, Clinical Chemistry and Laboratory Medicine (CCLM), BioData Mining, FEBS Letters and International Journal of Environmental Research and Public Health.
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.