Claus Peter Heußel
- Radiology, Nuclear Medicine and Imaging top 10%
- Pulmonary and Respiratory Medicine
- Epidemiology
- Infectious Diseases top 10%
- Health Informatics top 1%
- Co-authors
- Hans‐Ulrich KauczorTim Frederik WeberArved BischoffMatthias A. FinkSebastian LeyWolfgang SchreiberHermann EinseleM. Thelen
- Topics
- Atomic and Subatomic Physics Research (8 papers)Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Claus Peter Heußel
24 papers receiving 545 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Radiology, Nuclear Medicine and Imaging 195
- Pulmonary and Respiratory Medicine 173
- Epidemiology 168
- Infectious Diseases 157
- Health Informatics 97
Countries citing papers authored by Claus Peter Heußel
This map shows the geographic impact of Claus Peter Heußel'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 Claus Peter Heußel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claus Peter Heußel more than expected).
Fields of papers citing papers by Claus Peter Heußel
This network shows the impact of papers produced by Claus Peter Heußel. 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 Claus Peter Heußel. The network helps show where Claus Peter Heußel may publish in the future.
Co-authorship network of co-authors of Claus Peter Heußel
This figure shows the co-authorship network connecting the top 25 collaborators of Claus Peter Heußel. A scholar is included among the top collaborators of Claus Peter Heußel 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 Claus Peter Heußel. Claus Peter Heußel 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 | Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancerbreakdown → | 154 |
| 3 | 47 | |
| 4 | 1 | |
| 5 | 93 | |
| 6 | Neue Verfahren: Umfassendes Staging des Lungenkarzinoms mit der MRT | 2 |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 22 | |
| 12 | 65 | |
| 13 | Segmentation of the tracheo-bronchial tree on radiological images leading to an individualized simulation of drug delivery and uptake | 2 |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 10 | |
| 20 | 10 |
About Claus Peter Heußel
Claus Peter Heußel is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 557 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (8 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (97 citations), Infectious Diseases (157 citations) and Radiology, Nuclear Medicine and Imaging (195 citations). Claus Peter Heußel has collaborated with scholars based in Germany, United Kingdom and France. Frequent co-authors include Hans‐Ulrich Kauczor, Tim Frederik Weber, Arved Bischoff, Matthias A. Fink, Sebastian Ley, Wolfgang Schreiber, Hermann Einsele, M. Thelen, Brian J. Hafner and M. Thelen. Their work appears in journals such as Clinical Infectious Diseases, Radiology and European Radiology.
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.