Tomaž Omerzu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
- COVID-19 diagnosis using AI
Papers in
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- Cardiovascular Health and Disease Prevention 3
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- Multiple Sclerosis Research Studies 2
- Co-authors
- Harman S. Suri (7 shared papers)John R. Laird (7 shared papers)Andrew Nicolaides (7 shared papers)Narendra N. Khanna (7 shared papers)Jasjit S. Suri (7 shared papers)Elisa Cuadrado‐Godia (6 shared papers)Luca Saba (5 shared papers)Sophie Mavrogeni (6 shared papers)
- Journals
- Computers in Biology and Medicine (4 papers)European Journal of Radiology (1 paper)Current Atherosclerosis Reports (1 paper)Wiener klinische Wochenschrift (1 paper)Journal for Vascular Ultrasound (1 paper)
- Partner nations
- SloveniaUnited StatesIndia
In The Last Decade
Tomaž Omerzu
9 papers receiving 438 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 41
- Radiology, Nuclear Medicine and Imaging 155
- Health Information Management 30
- Cardiology and Cardiovascular Medicine 115
- Pulmonary and Respiratory Medicine 111
Countries citing papers authored by Tomaž Omerzu
This map shows the geographic impact of Tomaž Omerzu'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 Tomaž Omerzu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomaž Omerzu more than expected).
Fields of papers citing papers by Tomaž Omerzu
This network shows the impact of papers produced by Tomaž Omerzu. 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 Tomaž Omerzu. The network helps show where Tomaž Omerzu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomaž Omerzu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 240 | |
| 2 | 2018 | 62 | |
| 3 | 2019 | 31 | |
| 4 | 2019 | 31 | |
| 5 | 2019 | 28 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 1 |
About Tomaž Omerzu
Tomaž Omerzu is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Health Informatics, having authored 9 papers that have together received 441 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (3 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Multiple Sclerosis Research Studies (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), COVID-19 diagnosis using AI (1 paper), AI in cancer detection (1 paper), Acute Ischemic Stroke Management (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Health Informatics (41 citations), Radiology, Nuclear Medicine and Imaging (155 citations), Health Information Management (30 citations), Cardiology and Cardiovascular Medicine (115 citations) and Pulmonary and Respiratory Medicine (111 citations). Tomaž Omerzu has collaborated with scholars based in Slovenia, United States and India. Frequent co-authors include Harman S. Suri, John R. Laird, Andrew Nicolaides, Narendra N. Khanna, Jasjit S. Suri, Elisa Cuadrado‐Godia, Luca Saba, Sophie Mavrogeni, George D. Kitas and Ajay Gupta. Their work appears in journals such as Computers in Biology and Medicine, European Journal of Radiology, Current Atherosclerosis Reports, Wiener klinische Wochenschrift and Journal for Vascular Ultrasound.
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.