Rene Markovič
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Complex Network Analysis Techniques
- stochastic dynamics and bifurcation
- Opinion Dynamics and Social Influence
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 3
- Complex Network Analysis Techniques 3
- Co-authors
- Marko MarhlMarko GosakMatjaž PercAndraž StožerJurij DolenšekMarjan Slak RupnikVladimir GrubelnikMaja Duh
In The Last Decade
Rene Markovič
33 papers receiving 912 citations
Peers
Comparison fields: 5 of 127
- Modeling and Simulation 115
- Statistical and Nonlinear Physics 251
- Cognitive Neuroscience 148
- Endocrinology, Diabetes and Metabolism 105
- Surgery 234
Countries citing papers authored by Rene Markovič
This map shows the geographic impact of Rene Markovič'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 Rene Markovič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rene Markovič more than expected).
Fields of papers citing papers by Rene Markovič
This network shows the impact of papers produced by Rene Markovič. 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 Rene Markovič. The network helps show where Rene Markovič may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rene Markovič, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 55 | |
| 7 | 2021 | 62 | |
| 8 | 2021 | 23 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 74 | |
| 12 | 2020 | 22 | |
| 13 | 2019 | 27 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 317 | |
| 16 | 2017 | 8 | |
| 17 | 2017 | 37 | |
| 18 | 2015 | 29 | |
| 19 | 2015 | 50 | |
| 20 | 2015 | 17 |
About Rene Markovič
Rene Markovič is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology, having authored 35 papers that have together received 926 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Gene Regulatory Network Analysis (6 papers), Neural dynamics and brain function (4 papers), Diabetes Management and Research (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Protein Structure and Dynamics (3 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Statistical and Nonlinear Physics (251 citations), Cognitive Neuroscience (148 citations), Endocrinology, Diabetes and Metabolism (105 citations) and Surgery (234 citations). Rene Markovič has collaborated with scholars based in Slovenia, Austria and Taiwan. Frequent co-authors include Marko Marhl, Marko Gosak, Matjaž Perc, Andraž Stožer, Jurij Dolenšek, Marjan Slak Rupnik, Vladimir Grubelnik, Maja Duh, Maša Skelin Klemen and Lidija Križančić Bombek. Their work appears in journals such as Frontiers in Physiology, Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, Physics of Life Reviews and PLoS ONE.
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.