M. Mudrinić
Impact in
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
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- Mathematical and Theoretical Epidemiology and Ecology Models
Papers in
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- Quantum chaos and dynamical systems 7
- Scientific Research and Discoveries 2
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- Mathematical Dynamics and Fractals 6
- Co-authors
- Nikola Burić (7 shared papers)Nebojša Vasović (1 shared paper)Ivan Mančev (1 shared paper)Dževad Belkić (1 shared paper)Kristina Todorović (2 shared papers)Dejan V. Timotijević (3 shared papers)Jakob Blomer (1 shared paper)Ashot Harutyunyan (1 shared paper)
- Journals
- Chaos Solitons & Fractals (1 paper)Physical Review A (1 paper)The European Physical Journal Plus (1 paper)Journal of Physics Conference Series (1 paper)Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics (1 paper)
- Partner nations
- SlovakiaSerbiaSwitzerland
In The Last Decade
M. Mudrinić
9 papers receiving 105 citations
Peers
Comparison fields: 5 of 39
- Modeling and Simulation 33
- Public Health, Environmental and Occupational Health 53
- Statistical and Nonlinear Physics 18
- Genetics 36
- Radiation 11
Countries citing papers authored by M. Mudrinić
This map shows the geographic impact of M. Mudrinić'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 M. Mudrinić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mudrinić more than expected).
Fields of papers citing papers by M. Mudrinić
This network shows the impact of papers produced by M. Mudrinić. 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 M. Mudrinić. The network helps show where M. Mudrinić may publish in the future.
Co-authors
The 12 scholars most cited alongside M. Mudrinić, 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 | 2001 | 64 | |
| 2 | 1994 | 27 | |
| 3 | 2011 | 7 | |
| 4 | 1998 | 5 | |
| 5 | 1998 | 4 | |
| 6 | 1997 | 3 | |
| 7 | 1994 | 3 | |
| 8 | 1996 | 2 | |
| 9 | 1996 | 1 | |
| 10 | 2010 | 0 |
About M. Mudrinić
M. Mudrinić is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Condensed Matter Physics, Computer Networks and Communications and Molecular Biology, having authored 10 papers that have together received 116 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (7 papers), Mathematical Dynamics and Fractals (6 papers), Theoretical and Computational Physics (4 papers), Advanced Data Storage Technologies (2 papers), Scientific Research and Discoveries (2 papers), Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Modeling and Simulation (33 citations), Public Health, Environmental and Occupational Health (53 citations), Statistical and Nonlinear Physics (18 citations), Genetics (36 citations) and Radiation (11 citations). M. Mudrinić has collaborated with scholars based in Slovakia, Serbia and Switzerland. Frequent co-authors include Nikola Burić, Nebojša Vasović, Ivan Mančev, Dževad Belkić, Kristina Todorović, Dejan V. Timotijević, Jakob Blomer, Ashot Harutyunyan, P. Bunc̆ić and Ch. Wissing. Their work appears in journals such as Chaos Solitons & Fractals, Physical Review A, The European Physical Journal Plus, Journal of Physics Conference Series and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
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.