Miloš Dolnik
Impact in
- Statistical and Nonlinear Physics top 0.5%
- stochastic dynamics and bifurcation
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation
Papers in
-
- Nonlinear Dynamics and Pattern Formation 59
-
- stochastic dynamics and bifurcation 11
- Chaos control and synchronization 7
- Quantum chaos and dynamical systems 5
- Co-authors
- Irving R. EpsteinAnatol M. ZhabotinskyJames J. CollinsJeff HastyLingfa YangJoël PradinesAlberto P. MuñuzuriVladimir K. Vanag
- Journals
- The Journal of Physical Chemistry (14 papers)The Journal of Physical Chemistry A (9 papers)Physical Review Letters (8 papers)Physical Chemistry Chemical Physics (5 papers)Chaos An Interdisciplinary Journal of Nonlinear Science (5 papers)
- Partner nations
- United StatesBrazilPoland
In The Last Decade
Miloš Dolnik
72 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 111
- Statistical and Nonlinear Physics 993
- Computer Networks and Communications 1.7k
- Biophysics 129
- Condensed Matter Physics 187
- Molecular Biology 1.1k
Countries citing papers authored by Miloš Dolnik
This map shows the geographic impact of Miloš Dolnik'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 Miloš Dolnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miloš Dolnik more than expected).
Fields of papers citing papers by Miloš Dolnik
This network shows the impact of papers produced by Miloš Dolnik. 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 Miloš Dolnik. The network helps show where Miloš Dolnik may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Miloš Dolnik, 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 | 2021 | 1 | |
| 3 | 2020 | 2 | |
| 4 | 2016 | 13 | |
| 5 | 2012 | 22 | |
| 6 | 2011 | 17 | |
| 7 | 2011 | 22 | |
| 8 | 2010 | 4 | |
| 9 | 2008 | 14 | |
| 10 | 2004 | 31 | |
| 11 | 2003 | 64 | |
| 12 | 2002 | 109 | |
| 13 | 2002 | 154 | |
| 14 | 2001 | 65 | |
| 15 | 2001 | 72 | |
| 16 | 2000 | 26 | |
| 17 | 1998 | 19 | |
| 18 | 1989 | 47 | |
| 19 | 1987 | 16 | |
| 20 | 1984 | 32 |
About Miloš Dolnik
Miloš Dolnik is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Biophysics, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 74 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (59 papers), Slime Mold and Myxomycetes Research (15 papers), Spectroscopy and Quantum Chemical Studies (13 papers), stochastic dynamics and bifurcation (11 papers), Photoreceptor and optogenetics research (7 papers), Chaos control and synchronization (7 papers), Theoretical and Computational Physics (6 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (993 citations), Computer Networks and Communications (1.7k citations), Biophysics (129 citations), Condensed Matter Physics (187 citations) and Molecular Biology (1.1k citations). Miloš Dolnik has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Irving R. Epstein, Anatol M. Zhabotinsky, James J. Collins, Jeff Hasty, Lingfa Yang, Joël Pradines, Alberto P. Muñuzuri, Vladimir K. Vanag, Igal Berenstein and David R. McMillen. Their work appears in journals such as The Journal of Physical Chemistry, The Journal of Physical Chemistry A, Physical Review Letters, Physical Chemistry Chemical Physics and Chaos An Interdisciplinary Journal of Nonlinear Science.
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.