Rene Markovič

1.3k citations
36 papers · 1.0k · h-index 17

Impact in

Papers in

Rene Markovič

36 papers receiving 996 citations

Peers

Rene Markovič
Comparison fields: 5 of 131
  • Modeling and Simulation 112
  • Statistical and Nonlinear Physics 251
  • Cognitive Neuroscience 149
  • Endocrinology, Diabetes and Metabolism 103
  • Surgery 252
Replace Marko Gosak with:
Marko Gosak Slovenia
Qun Liu China
Yu-jiang Liu China
José Luís Herrera United States
V. Sree Hari Rao India
Ryan Kellogg United States
Yuanmei Wang China
Georges Haddad Lebanon
Christine Nardini Italy
Toshio Aoyagi Japan
Rene Markovič relative to Marko Gosak Slovenia Marko Gosak's profile →
Citations per field
00.5×1.5×
Marko Gosak · 1×
Citations per year

Countries citing papers authored by Rene Markovič

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Rene Markovič Line = papers co-authored together Rene Markovič links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017340
2 202077
3 202169
4 202162
5 201553
6 201742
7 201930
8 201529
9 202027
10 202127
11 202022
12 202022
13 201520
14 201520
15 202220
16 201118
17 201917
18 201817
19 202013
20 201813

About Rene Markovič

Rene Markovič is a scholar working on Statistical and Nonlinear Physics, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Cognitive Neuroscience, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Gene Regulatory Network Analysis (6 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Neural dynamics and brain function (4 papers), Advanced Thermodynamics and Statistical Mechanics (3 papers), Protein Structure and Dynamics (3 papers), Metabolism, Diabetes, and Cancer (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Modeling and Simulation (112 citations), Statistical and Nonlinear Physics (251 citations), Cognitive Neuroscience (149 citations), Endocrinology, Diabetes and Metabolism (103 citations) and Surgery (252 citations). Rene Markovič has collaborated with scholars based in Slovenia, Austria and Taiwan. Frequent co-authors include Marko Marhl, Marko Gosak, M Nekrep 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, Physics of Life Reviews, Chaos Solitons & Fractals 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.

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