Martin Auerbach
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Surgery
- Co-authors
- Johannes CzerninDaniel SilvermanChristiaan SchiepersCarl K. HohSanjiv S. GambhirOsman RatibHeinrich R. SchelbertMagnus Dahlbom
- Topics
- Radiomics and Machine Learning in Medical Imaging (7 papers)Medical Imaging Techniques and Applications (6 papers)Sarcoma Diagnosis and Treatment (2 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Martin Auerbach
12 papers receiving 376 citations
Peers
Comparison fields: 5 of 35
- Radiology, Nuclear Medicine and Imaging 209
- Cardiology and Cardiovascular Medicine 170
- Pulmonary and Respiratory Medicine 85
- Biomedical Engineering 62
- Surgery 58
Countries citing papers authored by Martin Auerbach
This map shows the geographic impact of Martin Auerbach'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 Martin Auerbach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Auerbach more than expected).
Fields of papers citing papers by Martin Auerbach
This network shows the impact of papers produced by Martin Auerbach. 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 Martin Auerbach. The network helps show where Martin Auerbach may publish in the future.
Co-authorship network of co-authors of Martin Auerbach
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Auerbach. A scholar is included among the top collaborators of Martin Auerbach 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 Martin Auerbach. Martin Auerbach 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 | 106 | |
| 3 | 39 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | Is there a correlation between tumor proliferative and glycolytic phenotype in high grade soft tissue sarcoma | 0 |
| 10 | Glucose metabolic phenotyping of bone and soft tissue sarcomas in the pediatric population | 2 |
| 11 | 12 | |
| 12 | Optimizing imaging protocols for overweight and obese patients: a lutetium orthosilicate PET/CT study. | 97 |
| 13 | 113 |
About Martin Auerbach
Martin Auerbach is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 394 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (6 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (209 citations), Cardiology and Cardiovascular Medicine (170 citations) and Hepatology (26 citations). Martin Auerbach has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Johannes Czernin, Daniel Silverman, Christiaan Schiepers, Carl K. Hoh, Sanjiv S. Gambhir, Osman Ratib, Heinrich R. Schelbert, Magnus Dahlbom, Barbara J. Fueger and J.W. Sayre. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Journal of Nuclear 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.