Rok Blagus

3.5k total citations · 1 hit paper
91 papers, 2.2k citations indexed

About

Rok Blagus is a scholar working on Epidemiology, Surgery and Artificial Intelligence. According to data from OpenAlex, Rok Blagus has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 15 papers in Surgery and 12 papers in Artificial Intelligence. Recurrent topics in Rok Blagus's work include Imbalanced Data Classification Techniques (10 papers), Vector-borne infectious diseases (7 papers) and Obesity, Physical Activity, Diet (6 papers). Rok Blagus is often cited by papers focused on Imbalanced Data Classification Techniques (10 papers), Vector-borne infectious diseases (7 papers) and Obesity, Physical Activity, Diet (6 papers). Rok Blagus collaborates with scholars based in Slovenia, Switzerland and United States. Rok Blagus's co-authors include Lara Lusa, Rok Orel, Modest Vengušt, Bojan Leskošek, Daša Stupica, M. Ocepek, Gregor Starc, Tjaša Cerar, Blaž Krhin and Andrej Janež and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Rok Blagus

86 papers receiving 2.2k citations

Hit Papers

SMOTE for high-dimensional class-imbalanced data 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rok Blagus Slovenia 21 563 272 272 197 163 91 2.2k
Nam K. Tran United States 25 595 1.1× 253 0.9× 521 1.9× 391 2.0× 179 1.1× 115 2.5k
Zubair Shah Qatar 24 593 1.1× 197 0.7× 364 1.3× 132 0.7× 127 0.8× 108 2.9k
Vida Abedi United States 25 239 0.4× 295 1.1× 617 2.3× 205 1.0× 159 1.0× 111 2.3k
Ricardo Henao United States 28 1.1k 1.9× 424 1.6× 520 1.9× 161 0.8× 130 0.8× 169 2.7k
Chi‐Ren Shyu United States 28 622 1.1× 634 2.3× 165 0.6× 211 1.1× 83 0.5× 191 3.1k
Pankaj Malhotra India 22 518 0.9× 389 1.4× 156 0.6× 178 0.9× 189 1.2× 332 3.1k
Tingting Zhu China 32 449 0.8× 567 2.1× 371 1.4× 143 0.7× 217 1.3× 193 3.0k
Mevlut Türe Türkiye 25 246 0.4× 181 0.7× 202 0.7× 103 0.5× 240 1.5× 100 2.0k
Emmanuel Lesaffre Belgium 37 827 1.5× 201 0.7× 317 1.2× 97 0.5× 264 1.6× 125 6.1k
Nevenka Dimitrova United States 28 435 0.8× 723 2.7× 198 0.7× 131 0.7× 224 1.4× 134 3.3k

Countries citing papers authored by Rok Blagus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rok Blagus

This figure shows the co-authorship network connecting the top 25 collaborators of Rok Blagus. A scholar is included among the top collaborators of Rok Blagus 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 Rok Blagus. Rok Blagus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Blagus, Rok, Bojan Leskošek, Francisco B. Ortega, Grant R. Tomkinson, & Gregor Jurak. (2025). Recommendations for reporting regression-based norms and the development of free-access tools to implement them in practice. PLoS ONE. 20(6). e0325770–e0325770.
2.
Blagus, Rok, et al.. (2024). Deregulation in adult IgA vasculitis skin as the basis for the discovery of novel serum biomarkers. Arthritis Research & Therapy. 26(1). 85–85. 5 indexed citations
3.
Vidmar, Gaj, et al.. (2024). Factors associated with the outcome of root canal treatment—A cohort study conducted in a private practice. International Endodontic Journal. 57(4). 377–393. 8 indexed citations
4.
Blagus, Rok, et al.. (2023). COVID-19 and Changes in the Model of Physical Fitness and Body Composition of Young Tennis Players. Applied Sciences. 13(18). 10015–10015. 1 indexed citations
5.
Blagus, Rok. (2023). Bias‐reduced estimators of conditional odds ratios in matched case‐control studies with unmatched confounding. Biometrical Journal. 65(4). e2200133–e2200133. 1 indexed citations
6.
Kejžar, Nataša, et al.. (2022). Correct specification of design matrices in linear mixed effects models: tests with graphical representation. Test. 32(1). 184–210. 5 indexed citations
7.
Blagus, Rok, et al.. (2022). Wild Carnivore Survey of Echinococcus Species in Slovenia. Animals. 12(17). 2223–2223. 7 indexed citations
8.
Kejžar, Nataša, et al.. (2021). COVID-19 in Slovenia, from a Success Story to Disaster: What Lessons Can Be Learned?. Life. 11(10). 1045–1045. 9 indexed citations
9.
Blagus, Rok, et al.. (2021). High Seroprevalence of Toxoplasma gondii in Slovenian Wild Boars (Sus scrofa). Animals. 11(11). 3139–3139. 7 indexed citations
10.
Kovács, Viktória, Gregor Starc, Mirko Brandes, et al.. (2021). Physical activity, screen time and the COVID‐19 school closures in Europe – An observational study in 10 countries. European Journal of Sport Science. 22(7). 1094–1103. 115 indexed citations
11.
Perme, Maja Pohar, et al.. (2020). Estimation of the reproductive number and the outbreak size of SARS-CoV-2 in Slovenia. 89. 591–602. 3 indexed citations
12.
Kejžar, Nataša, et al.. (2020). Modeling COVID-19 pandemic using Bayesian analysis with application to Slovene data. Mathematical Biosciences. 329. 108466–108466. 22 indexed citations
13.
Blagus, Rok & Jelle J. Goeman. (2019). Mean squared error of ridge estimators in logistic regression. Statistica Neerlandica. 74(2). 159–191. 1 indexed citations
14.
Blagus, Rok, Tjaša Cerar, Eva Ružić‐Sabljić, et al.. (2019). Antibiotic Use and Long-Term Outcome in Patients with Tick-Borne Encephalitis and Co-Infection with Borrelia Burgdorferi Sensu Lato in Central Europe. A Retrospective Cohort Study. Journal of Clinical Medicine. 8(10). 1740–1740. 7 indexed citations
15.
Blagus, Rok, et al.. (2018). Clinical Course, Serologic Response, and Long-Term Outcome in Elderly Patients with Early Lyme Borreliosis. Journal of Clinical Medicine. 7(12). 506–506. 20 indexed citations
16.
Marinko, Tanja, et al.. (2018). Early cardiotoxicity after adjuvant concomitant treatment with radiotherapy and trastuzumab in patients with breast cancer. Radiology and Oncology. 52(2). 204–212. 13 indexed citations
17.
Morrison, Shawnda A., et al.. (2018). Cold Susceptibility of Digit Stumps Resulting from Amputation After Freezing Cold Injury in Elite Alpinists. High Altitude Medicine & Biology. 19(2). 185–192. 8 indexed citations
18.
Blagus, Rok & Lara Lusa. (2016). Gradient boosting for high-dimensional prediction of rare events. Computational Statistics & Data Analysis. 113. 19–37. 66 indexed citations
19.
Matos, Erika, Borut Jug, Rok Blagus, & Branko Zakotnik. (2016). A Prospective Cohort Study on Cardiotoxicity of Adjuvant Trastuzumab Therapy in Breast Cancer Patients. Arquivos Brasileiros de Cardiologia. 107(1). 40–7. 18 indexed citations
20.
Čižman, Milan, et al.. (2014). The long-term effects of restrictive interventions on consumption and costs of antibiotics. Journal of Global Antimicrobial Resistance. 3(1). 31–35. 3 indexed citations

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.

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