Stefan Heldmann
- Computer Vision and Pattern Recognition top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Spectroscopy top 5%
- Biomedical Engineering
- Co-authors
- Eldad HaberBernd FischerJan ModersitzkiStefan WirtzDennis TredeHerbert ThieleUri M. AscherJanina Oetjen
- Topics
- Medical Image Segmentation Techniques (18 papers)Medical Imaging Techniques and Applications (15 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnalytical ChemistryJournal of Computational Physics
- Partner nations
- GermanyUnited StatesNew Zealand
In The Last Decade
Stefan Heldmann
46 papers receiving 839 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 254
- Molecular Biology 186
- Radiology, Nuclear Medicine and Imaging 183
- Spectroscopy 182
- Biomedical Engineering 116
Countries citing papers authored by Stefan Heldmann
This map shows the geographic impact of Stefan Heldmann'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 Stefan Heldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Heldmann more than expected).
Fields of papers citing papers by Stefan Heldmann
This network shows the impact of papers produced by Stefan Heldmann. 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 Stefan Heldmann. The network helps show where Stefan Heldmann may publish in the future.
Co-authorship network of co-authors of Stefan Heldmann
This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Heldmann. A scholar is included among the top collaborators of Stefan Heldmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Heldmann. Stefan Heldmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | 11 | |
| 12 | 61 | |
| 13 | 46 | |
| 14 | 19 | |
| 15 | 37 | |
| 16 | 14 | |
| 17 | 11 | |
| 18 | 16 | |
| 19 | 83 | |
| 20 | 10 |
About Stefan Heldmann
Stefan Heldmann is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 50 papers that have together received 863 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), Medical Imaging Techniques and Applications (15 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (254 citations), Spectroscopy (182 citations) and Biophysics (56 citations). Stefan Heldmann has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Eldad Haber, Bernd Fischer, Jan Modersitzki, Stefan Wirtz, Dennis Trede, Herbert Thiele, Uri M. Ascher, Janina Oetjen, Jan Strehlow and Jan Hendrik Kobarg. Their work appears in journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Journal of Computational Physics.
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.