Thomas Pyka
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 13
- Glioma Diagnosis and Treatment 13
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- Medical Imaging Techniques and Applications 8
- Radiomics and Machine Learning in Medical Imaging 6
- Advanced MRI Techniques and Applications 2
- Co-authors
- Jens Gempt (15 shared papers)Markus Schwaiger (4 shared papers)Tobias Maurer (2 shared papers)Matthias J. Eiber (2 shared papers)Claus Zimmer (13 shared papers)Christine Preibisch (10 shared papers)Bernhard Meyer (13 shared papers)Benedikt Wiestler (8 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (9 papers)World Neurosurgery (5 papers)European Journal of Radiology (2 papers)Cancer Imaging (1 paper)Cancer Medicine (1 paper)
- Partner nations
- GermanySwitzerlandDenmark
In The Last Decade
Thomas Pyka
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Health Informatics 88
- Genetics 391
- Radiology, Nuclear Medicine and Imaging 715
- Pulmonary and Respiratory Medicine 480
- Modeling and Simulation 48
Countries citing papers authored by Thomas Pyka
This map shows the geographic impact of Thomas Pyka'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 Thomas Pyka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Pyka more than expected).
Fields of papers citing papers by Thomas Pyka
This network shows the impact of papers produced by Thomas Pyka. 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 Thomas Pyka. The network helps show where Thomas Pyka may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Pyka, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 291 | |
| 2 | 2023 | 149 | |
| 3 | 2019 | 120 | |
| 4 | 2015 | 116 | |
| 5 | 2018 | 85 | |
| 6 | 2015 | 84 | |
| 7 | 2015 | 76 | |
| 8 | 2023 | 57 | |
| 9 | 2016 | 52 | |
| 10 | 2018 | 51 | |
| 11 | 2020 | 44 | |
| 12 | 2016 | 35 | |
| 13 | 2016 | 35 | |
| 14 | 2017 | 34 | |
| 15 | 2015 | 30 | |
| 16 | 2015 | 27 | |
| 17 | 2016 | 25 | |
| 18 | 2015 | 21 | |
| 19 | 2018 | 18 | |
| 20 | 2019 | 17 |
About Thomas Pyka
Thomas Pyka is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Biochemistry, Radiation and Health Informatics, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Advanced Radiotherapy Techniques (2 papers), Osteomyelitis and Bone Disorders Research (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Health Informatics (88 citations), Genetics (391 citations), Radiology, Nuclear Medicine and Imaging (715 citations), Pulmonary and Respiratory Medicine (480 citations) and Modeling and Simulation (48 citations). Thomas Pyka has collaborated with scholars based in Germany, Switzerland and Denmark. Frequent co-authors include Jens Gempt, Markus Schwaiger, Tobias Maurer, Matthias J. Eiber, Claus Zimmer, Christine Preibisch, Bernhard Meyer, Benedikt Wiestler, Kuangyu Shi and Axel Rominger. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, World Neurosurgery, European Journal of Radiology, Cancer Imaging and Cancer 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.