Miloš Radović
Impact in
- Biophysics top 10%
- Electromagnetic Fields and Biological Effects
- Health Information Management top 10%
Papers in
-
- Cardiovascular Health and Disease Prevention 4
-
- Cerebrovascular and Carotid Artery Diseases 2
- Co-authors
- Nenad Filipović (17 shared papers)Zoran Obradović (2 shared papers)Mohamed Ghalwash (1 shared paper)Aleksandar Peulić (4 shared papers)Milena Milutinović (2 shared papers)Danijela Cvetković (3 shared papers)Zhongzhao Teng (1 shared paper)Arso M. Vukićević (3 shared papers)
- Journals
- Computers in Biology and Medicine (2 papers)Journal of Computational Science (1 paper)Cancer Cell International (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Bioelectrochemistry (1 paper)
- Partner nations
- SerbiaUnited StatesSlovenia
In The Last Decade
Miloš Radović
20 papers receiving 554 citations
Peers
Comparison fields: 5 of 136
- Biophysics 35
- Health Information Management 19
- Radiology, Nuclear Medicine and Imaging 89
- Artificial Intelligence 116
- Health Informatics 4
Countries citing papers authored by Miloš Radović
This map shows the geographic impact of Miloš Radović'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 Miloš Radović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Radović more than expected).
Fields of papers citing papers by Miloš Radović
This network shows the impact of papers produced by Miloš Radović. 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 Miloš Radović. The network helps show where Miloš Radović may publish in the future.
Co-authors
The 25 scholars most cited alongside Miloš Radović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 318 | |
| 2 | 2013 | 40 | |
| 3 | 2014 | 37 | |
| 4 | 2016 | 27 | |
| 5 | 2020 | 20 | |
| 6 | 2014 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2013 | 17 | |
| 9 | 2021 | 14 | |
| 10 | 2016 | 13 | |
| 11 | 2011 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2021 | 5 | |
| 15 | 2018 | 3 | |
| 16 | 2013 | 2 | |
| 17 | 1998 | 2 | |
| 18 | 2010 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2015 | 1 |
About Miloš Radović
Miloš Radović is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Molecular Biology, having authored 23 papers that have together received 568 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (4 papers), Gene expression and cancer classification (2 papers), Coronary Interventions and Diagnostics (2 papers), Microbial Inactivation Methods (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), AI in cancer detection (2 papers), Electromagnetic Fields and Biological Effects (2 papers) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Biophysics (35 citations), Health Information Management (19 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Artificial Intelligence (116 citations) and Health Informatics (4 citations). Miloš Radović has collaborated with scholars based in Serbia, United States and Slovenia. Frequent co-authors include Nenad Filipović, Zoran Obradović, Mohamed Ghalwash, Aleksandar Peulić, Milena Milutinović, Danijela Cvetković, Zhongzhao Teng, Arso M. Vukićević, Igor Šaveljić and Dimitrios I. Fotiadis. Their work appears in journals such as Computers in Biology and Medicine, Journal of Computational Science, Cancer Cell International, IEEE Journal of Biomedical and Health Informatics and Bioelectrochemistry.
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.