Tim Lustberg
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Health Informatics top 0.5%
Papers in
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- Advanced Radiotherapy Techniques 7
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 2
- Co-authors
- A.L.A.J. Dekker (9 shared papers)Johan van Soest (9 shared papers)Wouter van Elmpt (7 shared papers)Erik Roelofs (2 shared papers)Timo M. Deist (2 shared papers)Yvonka van Wijk (2 shared papers)Seán Walsh (2 shared papers)Philippe Lambin (2 shared papers)
- Journals
- Medical Physics (3 papers)Radiotherapy and Oncology (3 papers)IEEE Transactions on Medical Imaging (2 papers)Physics in Medicine and Biology (1 paper)Oncotarget (1 paper)
- Partner nations
- NetherlandsUnited KingdomCanada
In The Last Decade
Tim Lustberg
15 papers receiving 4.7k citations
Tim Lustberg's Hit Papers
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 2.5k
- Health Informatics 175
- Radiation 348
- Hepatology 236
- Pulmonary and Respiratory Medicine 826
Countries citing papers authored by Tim Lustberg
This map shows the geographic impact of Tim Lustberg'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 Lustberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Lustberg more than expected).
Fields of papers citing papers by Tim Lustberg
This network shows the impact of papers produced by Tim Lustberg. 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 Lustberg. The network helps show where Tim Lustberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Lustberg, 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 | Radiomics: the bridge between medical imaging and personalized medicine Hit paper breakdown → | 2017 | 4148 |
| 2 | Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer Hit paper breakdown → | 2017 | 279 |
| 3 | 2018 | 64 | |
| 4 | 2016 | 57 | |
| 5 | 2016 | 29 | |
| 6 | 2019 | 28 | |
| 7 | 2012 | 26 | |
| 8 | 2012 | 26 | |
| 9 | 2018 | 22 | |
| 10 | 2014 | 17 | |
| 11 | 2014 | 17 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 5 |
About Tim Lustberg
Tim Lustberg is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Otorhinolaryngology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 4.7k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Biomedical Text Mining and Ontologies (2 papers), Medical Imaging Techniques and Applications (2 papers), Semantic Web and Ontologies (2 papers), Radiation Therapy and Dosimetry (2 papers), Medical Imaging and Analysis (1 paper) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (175 citations), Radiation (348 citations), Hepatology (236 citations) and Pulmonary and Respiratory Medicine (826 citations). Tim Lustberg has collaborated with scholars based in Netherlands, United Kingdom and Canada. Frequent co-authors include A.L.A.J. Dekker, Johan van Soest, Wouter van Elmpt, Erik Roelofs, Timo M. Deist, Yvonka van Wijk, Seán Walsh, Philippe Lambin, Arthur Jochems and Felix Manuel Mottaghy. Their work appears in journals such as Medical Physics, Radiotherapy and Oncology, IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Oncotarget.
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.