Igor Franović
Impact in
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- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
Papers in
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- stochastic dynamics and bifurcation 34
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- Neural dynamics and brain function 31
- Co-authors
- Kristina Todorović (19 shared papers)Nebojša Vasović (18 shared papers)Vladimir Klinshov (9 shared papers)Nikola Burić (9 shared papers)Vladimir Miljković (7 shared papers)Matjaž Perc (6 shared papers)Matthias Wolfrum (4 shared papers)Srđan Kostić (10 shared papers)
In The Last Decade
Igor Franović
45 papers receiving 588 citations
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 426
- Cognitive Neuroscience 311
- Computer Networks and Communications 346
- Geophysics 49
- Modeling and Simulation 15
Countries citing papers authored by Igor Franović
This map shows the geographic impact of Igor Franović'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 Igor Franović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Franović more than expected).
Fields of papers citing papers by Igor Franović
This network shows the impact of papers produced by Igor Franović. 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 Igor Franović. The network helps show where Igor Franović may publish in the future.
Co-authors
The 21 scholars most cited alongside Igor Franović, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 37 | |
| 2 | 2012 | 33 | |
| 3 | 2015 | 32 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2012 | 22 | |
| 7 | 2018 | 21 | |
| 8 | 2018 | 21 | |
| 9 | 2023 | 20 | |
| 10 | 2022 | 20 | |
| 11 | 2013 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2018 | 18 | |
| 14 | 2024 | 18 | |
| 15 | 2013 | 17 | |
| 16 | 2014 | 16 | |
| 17 | 2020 | 15 | |
| 18 | 2016 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2018 | 14 |
About Igor Franović
Igor Franović is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Computer Networks and Communications, Geophysics and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 589 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (34 papers), Neural dynamics and brain function (31 papers), Nonlinear Dynamics and Pattern Formation (25 papers), earthquake and tectonic studies (9 papers), Earthquake Detection and Analysis (6 papers), Ecosystem dynamics and resilience (4 papers), Complex Systems and Time Series Analysis (4 papers) and High-pressure geophysics and materials (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (426 citations), Cognitive Neuroscience (311 citations), Computer Networks and Communications (346 citations), Geophysics (49 citations) and Modeling and Simulation (15 citations). Igor Franović has collaborated with scholars based in Serbia, Russia and Germany. Frequent co-authors include Kristina Todorović, Nebojša Vasović, Vladimir Klinshov, Nikola Burić, Vladimir Miljković, Matjaž Perc, Matthias Wolfrum, Srđan Kostić, Serhiy Yanchuk and Anna Zakharova. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, Physical review. E and Europhysics Letters (EPL).
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.