Marko Gosak
Impact in
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation
- Complex Network Analysis Techniques
- Modeling and Simulation top 2%
Papers in
-
- Gene Regulatory Network Analysis 11
- Metabolism, Diabetes, and Cancer 8
- Surgery 28
- Pancreatic function and diabetes 28
- Co-authors
- Matjaž Perc (36 shared papers)Marko Marhl (40 shared papers)Rene Markovič (23 shared papers)Andraž Stožer (28 shared papers)Marjan Slak Rupnik (18 shared papers)Jurij Dolenšek (21 shared papers)Maja Duh (9 shared papers)Samo Kralj (3 shared papers)
In The Last Decade
Marko Gosak
79 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 142
- Statistical and Nonlinear Physics 804
- Modeling and Simulation 142
- Cognitive Neuroscience 491
- Computer Networks and Communications 427
- Endocrine and Autonomic Systems 87
Countries citing papers authored by Marko Gosak
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
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.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 325 | |
| 2 | 2013 | 137 | |
| 3 | 2022 | 97 | |
| 4 | 2008 | 84 | |
| 5 | 2007 | 77 | |
| 6 | 2021 | 63 | |
| 7 | 2021 | 55 | |
| 8 | 2008 | 55 | |
| 9 | 2015 | 51 | |
| 10 | 2012 | 51 | |
| 11 | 2009 | 46 | |
| 12 | 2008 | 44 | |
| 13 | 2007 | 41 | |
| 14 | 2011 | 41 | |
| 15 | 2017 | 38 | |
| 16 | 2021 | 36 | |
| 17 | 2006 | 33 | |
| 18 | 2021 | 32 | |
| 19 | 2017 | 31 | |
| 20 | 2019 | 30 |
About Marko Gosak
Marko Gosak is a scholar working on Molecular Biology, Surgery, Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 81 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (28 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 Molecular Communication and Nanonetworks (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (804 citations), Modeling and Simulation (142 citations), Cognitive Neuroscience (491 citations), Computer Networks and Communications (427 citations) and Endocrine and Autonomic Systems (87 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 Biophysical Chemistry, New Journal of Physics, PLoS Computational Biology, Frontiers in Endocrinology and Physical review. E.
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.