Heiko Peschl
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine
- Infectious Diseases
- Artificial Intelligence
- Oncology
- Co-authors
- Fergus GleesonMaria TsakokL. PickupSarim AtherJérôme DeclerckTimor KadirCarlos ArtetaPetr Novotný
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Lung Cancer Diagnosis and Treatment (4 papers)COVID-19 diagnosis using AI (3 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingPulmonary and Respiratory Medicine
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Respiratory and Critical Care MedicineRadiology
- Partner nations
- United KingdomAustraliaCzechia
In The Last Decade
Heiko Peschl
13 papers receiving 332 citations
Peers
Comparison fields: 5 of 52
- Radiology, Nuclear Medicine and Imaging 247
- Pulmonary and Respiratory Medicine 194
- Infectious Diseases 56
- Artificial Intelligence 50
- Oncology 35
Countries citing papers authored by Heiko Peschl
This map shows the geographic impact of Heiko Peschl'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 Heiko Peschl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heiko Peschl more than expected).
Fields of papers citing papers by Heiko Peschl
This network shows the impact of papers produced by Heiko Peschl. 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 Heiko Peschl. The network helps show where Heiko Peschl may publish in the future.
Co-authorship network of co-authors of Heiko Peschl
This figure shows the co-authorship network connecting the top 25 collaborators of Heiko Peschl. A scholar is included among the top collaborators of Heiko Peschl 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 Heiko Peschl. Heiko Peschl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 52 | |
| 3 | 7 | |
| 4 | 125 | |
| 5 | 8 | |
| 6 | 109 | |
| 7 | 18 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | The role of coronial autopsies in a context of decreasing hospital autopsies: an investigation of the issues. | 1 |
About Heiko Peschl
Heiko Peschl is a scholar working on Radiology, Nuclear Medicine and Imaging, Critical Care and Intensive Care Medicine and Genetics, having authored 13 papers that have together received 345 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Health Informatics (15 citations), Radiology, Nuclear Medicine and Imaging (247 citations) and Pulmonary and Respiratory Medicine (194 citations). Heiko Peschl has collaborated with scholars based in United Kingdom, Australia and Czechia. Frequent co-authors include Fergus Gleeson, Maria Tsakok, L. Pickup, Sarim Ather, Jérôme Declerck, Timor Kadir, Carlos Arteta, Petr Novotný, Rachel Benamore and Matthijs Oudkerk. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Respiratory and Critical Care Medicine and 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.