Tim Schakel

429 citations
20 papers · 314 · h-index 11

Impact in

    • Head and Neck Cancer Studies
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced MRI Techniques and Applications
    • MRI in cancer diagnosis
    • Medical Imaging Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications

Papers in

    • MRI in cancer diagnosis 13
    • Radiomics and Machine Learning in Medical Imaging 9
    • Advanced MRI Techniques and Applications 9
    • Advanced Neuroimaging Techniques and Applications 6
    • Medical Imaging Techniques and Applications 6
    • Head and Neck Cancer Studies 4

Tim Schakel

20 papers receiving 309 citations

Peers

Tim Schakel
Comparison fields: 5 of 49
  • Otorhinolaryngology 81
  • Radiology, Nuclear Medicine and Imaging 234
  • Radiation 85
  • Occupational Therapy 17
  • Rehabilitation 15
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Citations per field
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Citations per year

Countries citing papers authored by Tim Schakel

Since Specialization
Citations

This map shows the geographic impact of Tim Schakel'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 Schakel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Schakel more than expected).

Fields of papers citing papers by Tim Schakel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Schakel. 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 Schakel. The network helps show where Tim Schakel may publish in the future.

Co-authors

The 25 scholars most cited alongside Tim Schakel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Schakel Line = papers co-authored together Tim Schakel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201748
2 201339
3 201134
4 201531
5 201727
6 201624
7 201122
8 202020
9 201517
10 201813
11 201810
12 201510
13 20226
14 20224
15 20243
16 20172
17 20251
18 20241
19 20131
20 20131

About Tim Schakel

Tim Schakel is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Pulmonary and Respiratory Medicine, Radiation and Occupational Therapy, having authored 20 papers that have together received 314 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced MRI Techniques and Applications (9 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Medical Imaging Techniques and Applications (6 papers), Head and Neck Cancer Studies (4 papers), Advanced Radiotherapy Techniques (2 papers) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Otorhinolaryngology (81 citations), Radiology, Nuclear Medicine and Imaging (234 citations), Radiation (85 citations), Occupational Therapy (17 citations) and Rehabilitation (15 citations). Tim Schakel has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include M.E.P. Philippens, Chris H.J. Terhaard, Johannes M. Hoogduin, Cornelis P.J. Raaijmakers, N. Kasperts, Frank A. Pameijer, Stefan M. Willems, Klaas Nicolay, Frank Frank Baaijens and Bas W. Raaymakers. Their work appears in journals such as Radiotherapy and Oncology, Physics and Imaging in Radiation Oncology, Magnetic Resonance in Medicine, Acta Oncologica and Magnetic Resonance Materials in Physics Biology and Medicine.

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.

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