Tim C. de Wit

1.9k citations
30 papers · 1.4k · h-index 17

Impact in

Papers in

Tim C. de Wit

30 papers receiving 1.4k citations

Peers

Tim C. de Wit
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 502
  • Radiology, Nuclear Medicine and Imaging 445
  • Astronomy and Astrophysics 131
  • Hepatology 23
  • Dermatology 15
Replace Michael A. Woods with:
Michael A. Woods United States
Bartolomeo Cassano Italy
Amir Alexander Bahadori United States
Walter Schimmerling United States
Adam Rusek United States
Harold A. O'Brien United States
Y. Nagai Japan
Regin Weinreich Switzerland
Ferdinand Sudbrock Germany
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Citations per year

Countries citing papers authored by Tim C. de Wit

Since Specialization
Citations

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

Fields of papers citing papers by Tim C. de Wit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim C. de Wit, 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 C. de Wit Line = papers co-authored together Tim C. de Wit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000277
2 2015255
3 2004125
4 200181
5 200281
6 200256
7 200755
8 200754
9 200648
10 200848
11 200937
12 201231
13 201030
14 200627
15
Evaluation of 3D Monte Carlo-Based Scatter Correction for 99m Tc Cardiac Perfusion SPECT
200623
16 200522
17 200720
18 201417
19 200515
20 201815

About Tim C. de Wit

Tim C. de Wit is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics, Orthopedics and Sports Medicine, Geometry and Topology and Physiology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Black Holes and Theoretical Physics (9 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cardiac Imaging and Diagnostics (2 papers), Bone health and osteoporosis research (1 paper), Adipose Tissue and Metabolism (1 paper), Geometry and complex manifolds (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (502 citations), Radiology, Nuclear Medicine and Imaging (445 citations), Astronomy and Astrophysics (131 citations), Hepatology (23 citations) and Dermatology (15 citations). Tim C. de Wit has collaborated with scholars based in Netherlands, Belgium and Austria. Frequent co-authors include Eric Bergshoeff, Sudhakar Panda, Mees De Roo, Eduardo Eyras, Antoine Van Proeyen, Sorin Cucu, Freek J. Beekman, Stefan Vandoren, Jos Gheerardyn and Steven G. Staelens. Their work appears in journals such as Journal of High Energy Physics, Classical and Quantum Gravity, European Journal of Nuclear Medicine and Molecular Imaging, EJNMMI Research and Physics in Medicine and Biology.

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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