Marko Puljic
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Cognitive Science and Education Research
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 9
- Functional Brain Connectivity Studies 1
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- Nonlinear Dynamics and Pattern Formation 5
- Co-authors
- Róbert Kozma (10 shared papers)Paul Balister (1 shared paper)Walter Freeman (1 shared paper)Béla Bollobás (1 shared paper)Leonid Perlovsky (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Complexity (1 paper)Cognitive Computation (1 paper)Biological Cybernetics (1 paper)Neural Networks (1 paper)
- Partner nations
- United States
In The Last Decade
Marko Puljic
10 papers receiving 180 citations
Peers
Comparison fields: 5 of 42
- Cognitive Neuroscience 132
- Statistical and Nonlinear Physics 51
- Computer Networks and Communications 43
- Artificial Intelligence 56
- Computational Theory and Mathematics 23
Countries citing papers authored by Marko Puljic
This map shows the geographic impact of Marko Puljic'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 Puljic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Puljic more than expected).
Fields of papers citing papers by Marko Puljic
This network shows the impact of papers produced by Marko Puljic. 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 Puljic. The network helps show where Marko Puljic may publish in the future.
Co-authors
The 5 scholars most cited alongside Marko Puljic, 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 | 2005 | 81 | |
| 2 | 2014 | 29 | |
| 3 | 2013 | 23 | |
| 4 | 2008 | 18 | |
| 5 | 2005 | 14 | |
| 6 | Broad-band Oscillations by Probabilistic Cellular Automata. | 2010 | 6 |
| 7 | 2009 | 6 | |
| 8 | 2012 | 5 | |
| 9 | 2015 | 3 | |
| 10 | 2004 | 2 |
About Marko Puljic
Marko Puljic is a scholar working on Cognitive Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence and Computational Theory and Mathematics, having authored 10 papers that have together received 187 indexed citations. Recurring topics across this work include Neural dynamics and brain function (9 papers), Nonlinear Dynamics and Pattern Formation (5 papers), stochastic dynamics and bifurcation (4 papers), Neural Networks and Applications (3 papers), Cellular Automata and Applications (2 papers), Functional Brain Connectivity Studies (1 paper), Theoretical and Computational Physics (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (132 citations), Statistical and Nonlinear Physics (51 citations), Computer Networks and Communications (43 citations), Artificial Intelligence (56 citations) and Computational Theory and Mathematics (23 citations). Marko Puljic has collaborated with scholars based in United States. Frequent co-authors include Róbert Kozma, Paul Balister, Walter Freeman, Béla Bollobás and Leonid Perlovsky. Their work appears in journals such as Theoretical Computer Science, Complexity, Cognitive Computation, Biological Cybernetics and Neural Networks.
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.