Erik Aurell
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics
- Quantum chaos and dynamical systems
- Chaos control and synchronization
- Mathematical Physics top 5%
Papers in
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- Advanced Thermodynamics and Statistical Mechanics 19
- Quantum chaos and dynamical systems 9
- Statistical Mechanics and Entropy 9
- Complex Network Analysis Techniques 8
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- Protein Structure and Dynamics 9
- Co-authors
- Magnus Ekeberg (3 shared papers)Predrag Cvitanović (2 shared papers)Roberto Artuso (2 shared papers)Angelo Vulpiani (10 shared papers)A. Crisanti (4 shared papers)G. Paladin (4 shared papers)G. Boffetta (4 shared papers)Yueheng Lan (3 shared papers)
In The Last Decade
Erik Aurell
115 papers receiving 3.9k citations
Erik Aurell's Hit Papers
Peers
Comparison fields: 5 of 140
- Statistical and Nonlinear Physics 1.5k
- Mathematical Physics 294
- Condensed Matter Physics 348
- Modeling and Simulation 94
- Molecular Biology 1.3k
Countries citing papers authored by Erik Aurell
This map shows the geographic impact of Erik Aurell'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 Erik Aurell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Aurell more than expected).
Fields of papers citing papers by Erik Aurell
This network shows the impact of papers produced by Erik Aurell. 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 Erik Aurell. The network helps show where Erik Aurell may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Aurell, 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 127 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models Hit paper breakdown → | 2013 | 447 |
| 2 | 1990 | 306 | |
| 3 | 1997 | 294 | |
| 4 | 1990 | 176 | |
| 5 | 2012 | 161 | |
| 6 | 2011 | 158 | |
| 7 | 1996 | 124 | |
| 8 | 1992 | 121 | |
| 9 | 2014 | 119 | |
| 10 | 2012 | 118 | |
| 11 | 2002 | 116 | |
| 12 | 2002 | 101 | |
| 13 | 2012 | 98 | |
| 14 | 2012 | 85 | |
| 15 | 2016 | 75 | |
| 16 | 2001 | 72 | |
| 17 | 2014 | 67 | |
| 18 | 2017 | 66 | |
| 19 | 1992 | 55 | |
| 20 | 2011 | 49 |
About Erik Aurell
Erik Aurell is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Computer Networks and Communications, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 127 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (19 papers), Theoretical and Computational Physics (19 papers), Complex Systems and Time Series Analysis (12 papers), Fluid Dynamics and Turbulent Flows (11 papers), Quantum chaos and dynamical systems (9 papers), Protein Structure and Dynamics (9 papers), Statistical Mechanics and Entropy (9 papers) and Complex Network Analysis Techniques (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Mathematical Physics (294 citations), Condensed Matter Physics (348 citations), Modeling and Simulation (94 citations) and Molecular Biology (1.3k citations). Erik Aurell has collaborated with scholars based in Sweden, Finland and France. Frequent co-authors include Magnus Ekeberg, Predrag Cvitanović, Roberto Artuso, Angelo Vulpiani, A. Crisanti, G. Paladin, G. Boffetta, Yueheng Lan, Cecilia Lövkvist and Martin Weigt. Their work appears in journals such as Physical review. E, Physical Review Letters, Journal of Statistical Physics, Europhysics Letters (EPL) and Physical Biology.
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.