Marko Gosak

2.6k citations
80 papers · 2.0k indexed · h-index 25

Impact in

Papers in

Marko Gosak

79 papers receiving 2.0k citations

Peers

Marko Gosak
Comparison fields: 5 of 139
  • Statistical and Nonlinear Physics 806
  • Modeling and Simulation 152
  • Cognitive Neuroscience 492
  • Computer Networks and Communications 414
  • Endocrine and Autonomic Systems 88
Replace Marko Marhl with:
Marko Marhl Slovenia
Andraž Stožer Slovenia
Morten Gram Pedersen Italy
Gerda de Vries Canada
Rene Markovič Slovenia
Jurij Dolenšek Slovenia
Anmar Khadra Canada
Giovanni Petri Italy
Carlo Vittorio Cannistraci Italy
Teresa Ree Chay United States
Marko Gosak relative to Marko Marhl Slovenia Marko Marhl's profile →
Citations per field
00.5×
Marko Marhl · 1×
Citations per year

Countries citing papers authored by Marko Gosak

Since Specialization
Citations

This map shows the geographic impact of Marko Gosak'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 Marko Gosak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Gosak more than expected).

Fields of papers citing papers by Marko Gosak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marko Gosak. 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 Marko Gosak. The network helps show where Marko Gosak may publish in the future.

Co-authors

The 25 scholars most cited alongside Marko Gosak, 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 Marko Gosak Line = papers co-authored together Marko Gosak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 202310
5 202312
6 202288
7 20225
8 202155
9 202134
10 20217
11 202124
12 202130
13 202124
14 202010
15 20203
16 201920
17 20186
18 2017317
19 201529
20 201251

About Marko Gosak

Marko Gosak is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Modeling and Simulation and Surgery, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (27 papers), Nonlinear Dynamics and Pattern Formation (22 papers), stochastic dynamics and bifurcation (22 papers), Neural dynamics and brain function (20 papers), Gene Regulatory Network Analysis (11 papers), Metabolism, Diabetes, and Cancer (8 papers), Diabetes Management and Research (7 papers) and Evolutionary Game Theory and Cooperation (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (806 citations), Modeling and Simulation (152 citations), Cognitive Neuroscience (492 citations), Computer Networks and Communications (414 citations) and Endocrine and Autonomic Systems (88 citations). Marko Gosak has collaborated with scholars based in Slovenia, Austria and Taiwan. Frequent co-authors include Matjaž Perc, Marko Marhl, Rene Markovič, Andraž Stožer, Marjan Slak Rupnik, Jurij Dolenšek, Maja Duh, Samo Kralj, Dean Korošak and Maša Skelin Klemen. Their work appears in journals such as New Journal of Physics, Biophysical Chemistry, PLoS Computational Biology, Frontiers in Endocrinology and Scientific Reports.

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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