Rok Blagus
Impact in
-
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 2%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
Papers in
- Epidemiology 16
- Microscopic Colitis 4
- Surgery 15
- Co-authors
- Lara Lusa (9 shared papers)Rok Orel (5 shared papers)Modest Vengušt (8 shared papers)Bojan Leskošek (8 shared papers)Gregor Starc (6 shared papers)M. Ocepek (4 shared papers)Daša Stupica (8 shared papers)Tjaša Cerar (7 shared papers)
- Journals
- BMC Bioinformatics (5 papers)Muscle & Nerve (3 papers)PLoS ONE (3 papers)BMC Veterinary Research (2 papers)Journal of Antimicrobial Chemotherapy (2 papers)
- Partner nations
- SloveniaSwitzerlandUnited States
In The Last Decade
Rok Blagus
86 papers receiving 2.2k citations
Rok Blagus's Hit Papers
Peers
Comparison fields: 5 of 183
- Health Information Management 121
- Artificial Intelligence 563
- Parasitology 92
- Infectious Diseases 197
- Health Informatics 14
Countries citing papers authored by Rok Blagus
This map shows the geographic impact of Rok Blagus'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 Rok Blagus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rok Blagus more than expected).
Fields of papers citing papers by Rok Blagus
This network shows the impact of papers produced by Rok Blagus. 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 Rok Blagus. The network helps show where Rok Blagus may publish in the future.
Co-authors
The 25 scholars most cited alongside Rok Blagus, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SMOTE for high-dimensional class-imbalanced data Hit paper breakdown → | 2013 | 717 |
| 2 | 2010 | 183 | |
| 3 | 2021 | 115 | |
| 4 | 2015 | 86 | |
| 5 | 2012 | 72 | |
| 6 | 2016 | 66 | |
| 7 | 2014 | 52 | |
| 8 | 2010 | 51 | |
| 9 | 2013 | 42 | |
| 10 | 2012 | 37 | |
| 11 | 2016 | 35 | |
| 12 | 2013 | 33 | |
| 13 | 2019 | 29 | |
| 14 | 2015 | 28 | |
| 15 | 2011 | 27 | |
| 16 | 2012 | 27 | |
| 17 | 2014 | 24 | |
| 18 | 2020 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2018 | 20 |
About Rok Blagus
Rok Blagus is a scholar working on Epidemiology, Surgery, Artificial Intelligence, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 91 papers that have together received 2.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (10 papers), Vector-borne infectious diseases (7 papers), Obesity, Physical Activity, Diet (6 papers), Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (5 papers), Viral Infections and Vectors (5 papers), Microscopic Colitis (4 papers) and Children's Physical and Motor Development (4 papers). The work is most often cited by research in Health Information Management (121 citations), Artificial Intelligence (563 citations), Parasitology (92 citations), Infectious Diseases (197 citations) and Health Informatics (14 citations). Rok Blagus has collaborated with scholars based in Slovenia, Switzerland and United States. Frequent co-authors include Lara Lusa, Rok Orel, Modest Vengušt, Bojan Leskošek, Gregor Starc, M. Ocepek, Daša Stupica, Tjaša Cerar, Andrej Janež and Gaj Vidmar. Their work appears in journals such as BMC Bioinformatics, Muscle & Nerve, PLoS ONE, BMC Veterinary Research and Journal of Antimicrobial Chemotherapy.
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.