Ivan Balog
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Physics of Superconductivity and Magnetism
Papers in
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- Theoretical and Computational Physics 18
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- Quantum chaos and dynamical systems 4
- Complex Network Analysis Techniques 4
- Co-authors
- Matthieu Tissier (8 shared papers)Nicolás Wschebor (3 shared papers)Gilles Tarjus (8 shared papers)Bertrand Delamotte (4 shared papers)Hugues Chaté (1 shared paper)O. S. Barišić (1 shared paper)J. Kokalj (1 shared paper)P. Prelovšek (1 shared paper)
In The Last Decade
Ivan Balog
21 papers receiving 357 citations
Peers
Comparison fields: 5 of 38
- Condensed Matter Physics 203
- Computational Mathematics 6
- Nuclear and High Energy Physics 107
- Mathematical Physics 62
- Statistical and Nonlinear Physics 85
Countries citing papers authored by Ivan Balog
This map shows the geographic impact of Ivan Balog'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 Ivan Balog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Balog more than expected).
Fields of papers citing papers by Ivan Balog
This network shows the impact of papers produced by Ivan Balog. 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 Ivan Balog. The network helps show where Ivan Balog may publish in the future.
Co-authors
The 13 scholars most cited alongside Ivan Balog, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2020 | 74 | |
| 3 | 2016 | 60 | |
| 4 | 2018 | 35 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 12 | |
| 8 | 2018 | 10 | |
| 9 | 2014 | 7 | |
| 10 | 2014 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2007 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2010 | 3 | |
| 16 | 2008 | 3 | |
| 17 | 2025 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Ivan Balog
Ivan Balog is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Mathematical Physics, Atomic and Molecular Physics, and Optics and Statistics and Probability, having authored 23 papers that have together received 359 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (18 papers), Stochastic processes and statistical mechanics (10 papers), Quantum many-body systems (7 papers), Quantum chaos and dynamical systems (4 papers), Complex Network Analysis Techniques (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Material Dynamics and Properties (3 papers) and Markov Chains and Monte Carlo Methods (2 papers). The work is most often cited by research in Condensed Matter Physics (203 citations), Computational Mathematics (6 citations), Nuclear and High Energy Physics (107 citations), Mathematical Physics (62 citations) and Statistical and Nonlinear Physics (85 citations). Ivan Balog has collaborated with scholars based in Croatia, France and Uruguay. Frequent co-authors include Matthieu Tissier, Nicolás Wschebor, Gilles Tarjus, Bertrand Delamotte, Hugues Chaté, O. S. Barišić, J. Kokalj, P. Prelovšek, Katarina Uzelac and Adam Rançon. Their work appears in journals such as Physical review. E, Physical Review Letters, Physical review. B., Physical Review B and SciPost Physics.
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.