Adrian Thummerer

20 papers receiving 421 citations

Peers

Adrian Thummerer
Comparison fields: 5 of 18
  • Radiation 291
  • Health Informatics 63
  • Computer Vision and Pattern Recognition 113
  • Oral Surgery 27
  • Pulmonary and Respiratory Medicine 121
Replace Kanabu Nawa with:
Kanabu Nawa Japan
Andrea Pella Italy
Xiao Liang United States
A. Barateau France
Jianrong Dai China
Toshikazu Imae Japan
Dao Lam United States
Stephen J. Gardner United States
Takahiro Nakamoto Japan
Gerd Heilemann Austria
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Citations per field
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Citations per year

Countries citing papers authored by Adrian Thummerer

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Thummerer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 202373
3 202049
4 202443
5 202134
6 202231
7 202121
8 202321
9 202310
10 20249
11 20256
12 20255
13 20234
14 20244
15 20243
16 20243
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18 20243
19 20241
20 20241

About Adrian Thummerer

Adrian Thummerer is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Oral Surgery, Pulmonary and Respiratory Medicine and Health Informatics, having authored 23 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (21 papers), Radiation Therapy and Dosimetry (5 papers), Medical Imaging Techniques and Applications (5 papers), Dental Radiography and Imaging (3 papers), Radiation Dose and Imaging (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Advanced X-ray and CT Imaging (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Radiation (291 citations), Health Informatics (63 citations), Computer Vision and Pattern Recognition (113 citations), Oral Surgery (27 citations) and Pulmonary and Respiratory Medicine (121 citations). Adrian Thummerer has collaborated with scholars based in Germany, Netherlands and Italy. Frequent co-authors include Stefan Both, Johannes Albertus Langendijk, Antje C. Knopf, Artūrs Meijers, Paolo Zaffino, Joao Carlos Seco, Maria Francesca Spadea, Gabriel Guterres Marmitt, Roel J.H.M. Steenbakkers and Matteo Maspero. Their work appears in journals such as Medical Physics, Physics and Imaging in Radiation Oncology, Medical Image Analysis, Physics in Medicine and Biology and Radiotherapy and Oncology.

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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