Tim Boers
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Co-authors
- Fons van der Sommen (18 shared papers)Kiki Fockens (15 shared papers)Jacques Bergman (14 shared papers)Erik J. Schoon (5 shared papers)Maarten R. Struyvenberg (6 shared papers)Joost van der Putten (9 shared papers)Wouter L. Curvers (5 shared papers)Jeroen de Groof (5 shared papers)
- Journals
- Gastrointestinal Endoscopy (4 papers)Gastroenterology (3 papers)European Radiology Experimental (2 papers)Artificial Intelligence in Medicine (1 paper)United European Gastroenterology Journal (1 paper)
- Partner nations
- NetherlandsBelgiumUnited States
In The Last Decade
Tim Boers
23 papers receiving 358 citations
Peers
Comparison fields: 5 of 48
- Health Informatics 16
- Radiology, Nuclear Medicine and Imaging 110
- Gastroenterology 25
- Oncology 114
- Pulmonary and Respiratory Medicine 113
Countries citing papers authored by Tim Boers
This map shows the geographic impact of Tim Boers'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 Boers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Boers more than expected).
Fields of papers citing papers by Tim Boers
This network shows the impact of papers produced by Tim Boers. 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 Boers. The network helps show where Tim Boers may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Boers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2020 | 87 | |
| 3 | 2020 | 39 | |
| 4 | 2018 | 33 | |
| 5 | 2023 | 30 | |
| 6 | 2020 | 16 | |
| 7 | 2023 | 14 | |
| 8 | 2021 | 14 | |
| 9 | 2023 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2020 | 2 | |
| 20 | 2024 | 1 |
About Tim Boers
Tim Boers is a scholar working on Surgery, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 27 papers that have together received 373 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (11 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Colorectal Cancer Screening and Detection (5 papers), Gastric Cancer Management and Outcomes (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Advanced X-ray and CT Imaging (2 papers). The work is most often cited by research in Health Informatics (16 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Gastroenterology (25 citations), Oncology (114 citations) and Pulmonary and Respiratory Medicine (113 citations). Tim Boers has collaborated with scholars based in Netherlands, Belgium and United States. Frequent co-authors include Fons van der Sommen, Kiki Fockens, Jacques Bergman, Erik J. Schoon, Maarten R. Struyvenberg, Joost van der Putten, Wouter L. Curvers, Jeroen de Groof, Sveta Zinger and Roos E. Pouw. Their work appears in journals such as Gastrointestinal Endoscopy, Gastroenterology, European Radiology Experimental, Artificial Intelligence in Medicine and United European Gastroenterology Journal.
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.