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 17
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- Complex Network Analysis Techniques 4
- Quantum chaos and dynamical systems 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)P. Prelovšek (1 shared paper)J. Kokalj (1 shared paper)
In The Last Decade
Ivan Balog
18 papers receiving 322 citations
Peers
Comparison fields: 5 of 38
- Condensed Matter Physics 190
- Computational Mathematics 6
- Nuclear and High Energy Physics 105
- Statistical and Nonlinear Physics 79
- Mathematical Physics 57
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 12 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2020 | 69 | |
| 3 | 2016 | 58 | |
| 4 | 2018 | 34 | |
| 5 | 2015 | 16 | |
| 6 | 2020 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2022 | 8 | |
| 9 | 2014 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2008 | 3 | |
| 14 | 2007 | 3 | |
| 15 | 2010 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2012 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2025 | 0 |
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 21 papers that have together received 325 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (17 papers), Stochastic processes and statistical mechanics (10 papers), Quantum many-body systems (7 papers), Complex Network Analysis Techniques (4 papers), Quantum chaos and dynamical systems (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Material Dynamics and Properties (3 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Condensed Matter Physics (190 citations), Computational Mathematics (6 citations), Nuclear and High Energy Physics (105 citations), Statistical and Nonlinear Physics (79 citations) and Mathematical Physics (57 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, P. Prelovšek, J. Kokalj, Katarina Uzelac and David Carpentier. Their work appears in journals such as Physical review. E, Physical Review Letters, SciPost Physics, Physical review. B. and Physical Review B.
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.