Vladimir Evilevitch
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cardiology and Cardiovascular Medicine
- Rheumatology top 10%
- Oncology
- Co-authors
- Wolfgang WeberFritz C. EilberJohannes CzerninMartin Allen-AuerbachMatthias BenzMichael E. PhelpsWilliam D. TapKira Chow
- Topics
- Sarcoma Diagnosis and Treatment (5 papers)Multiple Sclerosis Research Studies (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Vladimir Evilevitch
10 papers receiving 413 citations
Peers
Comparison fields: 5 of 52
- Pulmonary and Respiratory Medicine 271
- Radiology, Nuclear Medicine and Imaging 159
- Cardiology and Cardiovascular Medicine 120
- Rheumatology 99
- Oncology 90
Countries citing papers authored by Vladimir Evilevitch
This map shows the geographic impact of Vladimir Evilevitch'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 Vladimir Evilevitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Evilevitch more than expected).
Fields of papers citing papers by Vladimir Evilevitch
This network shows the impact of papers produced by Vladimir Evilevitch. 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 Vladimir Evilevitch. The network helps show where Vladimir Evilevitch may publish in the future.
Co-authorship network of co-authors of Vladimir Evilevitch
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Evilevitch. A scholar is included among the top collaborators of Vladimir Evilevitch 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 Vladimir Evilevitch. Vladimir Evilevitch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 134 | |
| 5 | 90 | |
| 6 | 140 | |
| 7 | 1 | |
| 8 | Influence of ROI definition on the results of FDG-PET studies in patients with sarcomas | 3 |
| 9 | 0 | |
| 10 | 33 | |
| 11 | 1 |
About Vladimir Evilevitch
Vladimir Evilevitch is a scholar working on Endocrine and Autonomic Systems, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 424 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Multiple Sclerosis Research Studies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (271 citations), Radiology, Nuclear Medicine and Imaging (159 citations) and Rheumatology (99 citations). Vladimir Evilevitch has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Wolfgang Weber, Fritz C. Eilber, Johannes Czernin, Martin Allen-Auerbach, Matthias Benz, Michael E. Phelps, William D. Tap, Kira Chow, Robert M. Elashoff and Michael E. Phelps. Their work appears in journals such as Journal of Clinical Oncology, Neurology and Clinical Cancer Research.
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.