Markus D. Herrmann
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Health Informatics top 10%
Papers in
-
- AI in cancer detection 8
-
- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Lucas Pelkmans (2 shared papers)Gabriele Gut (1 shared paper)Jochen K. Lennerz (5 shared papers)Thomas Stoeger (1 shared paper)Nico Battich (1 shared paper)David Clunie (4 shared papers)Andriy Fedorov (4 shared papers)Peter Möller (1 shared paper)
- Journals
- Journal of Pathology Informatics (3 papers)International Journal of Radiation Oncology*Biology*Physics (1 paper)Journal of Digital Imaging (1 paper)Nature Communications (1 paper)The Annals of Thoracic Surgery (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Markus D. Herrmann
24 papers receiving 470 citations
Peers
Comparison fields: 5 of 86
- Biophysics 147
- Health Informatics 17
- Molecular Biology 301
- Radiology, Nuclear Medicine and Imaging 60
- Structural Biology 3
Countries citing papers authored by Markus D. Herrmann
This map shows the geographic impact of Markus D. Herrmann'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 Markus D. Herrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus D. Herrmann more than expected).
Fields of papers citing papers by Markus D. Herrmann
This network shows the impact of papers produced by Markus D. Herrmann. 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 Markus D. Herrmann. The network helps show where Markus D. Herrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus D. Herrmann, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 297 | |
| 2 | 2015 | 25 | |
| 3 | 2020 | 21 | |
| 4 | 2014 | 21 | |
| 5 | 2023 | 19 | |
| 6 | 2021 | 17 | |
| 7 | 2021 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2014 | 7 | |
| 11 | 2012 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2016 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2020 | 1 |
About Markus D. Herrmann
Markus D. Herrmann is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biophysics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 473 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Scientific Computing and Data Management (3 papers), Advanced X-ray and CT Imaging (2 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers). The work is most often cited by research in Biophysics (147 citations), Health Informatics (17 citations), Molecular Biology (301 citations), Radiology, Nuclear Medicine and Imaging (60 citations) and Structural Biology (3 citations). Markus D. Herrmann has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lucas Pelkmans, Gabriele Gut, Jochen K. Lennerz, Thomas Stoeger, Nico Battich, David Clunie, Andriy Fedorov, Peter Möller, Stephanie E. Weissinger and Ron Kikinis. Their work appears in journals such as Journal of Pathology Informatics, International Journal of Radiation Oncology*Biology*Physics, Journal of Digital Imaging, Nature Communications and The Annals of Thoracic Surgery.
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.