Andreas Dechant
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Advanced Thermodynamics and Statistical Mechanics
- stochastic dynamics and bifurcation
- Statistical Mechanics and Entropy
- Modeling and Simulation top 5%
Papers in
-
- Advanced Thermodynamics and Statistical Mechanics 22
- stochastic dynamics and bifurcation 16
- Statistical Mechanics and Entropy 8
-
- Fractional Differential Equations Solutions 4
- Co-authors
- Eric LutzShin-ichi SasaShin‐ichi SasaSosuke ItoEli BarkaiNikolai KieselDavid A. KesslerTakahiro Sagawa
In The Last Decade
Andreas Dechant
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 900
- Modeling and Simulation 81
- Atomic and Molecular Physics, and Optics 350
- Physical and Theoretical Chemistry 89
- Cognitive Neuroscience 147
Countries citing papers authored by Andreas Dechant
This map shows the geographic impact of Andreas Dechant'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 Andreas Dechant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Dechant more than expected).
Fields of papers citing papers by Andreas Dechant
This network shows the impact of papers produced by Andreas Dechant. 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 Andreas Dechant. The network helps show where Andreas Dechant may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andreas Dechant, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 14 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 23 | |
| 6 | 2022 | 53 | |
| 7 | 2020 | 84 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 7 | |
| 12 | 2016 | 23 | |
| 13 | 2016 | 14 | |
| 14 | 2015 | 19 | |
| 15 | 2015 | 24 | |
| 16 | 2015 | 90 | |
| 17 | 2014 | 38 | |
| 18 | 2012 | 17 | |
| 19 | 2012 | 27 | |
| 20 | 2011 | 34 |
About Andreas Dechant
Andreas Dechant is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation, Physical and Theoretical Chemistry, Statistics, Probability and Uncertainty and Cognitive Neuroscience, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (22 papers), stochastic dynamics and bifurcation (16 papers), Statistical Mechanics and Entropy (8 papers), Neural dynamics and brain function (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), thermodynamics and calorimetric analyses (5 papers), Fractional Differential Equations Solutions (4 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (900 citations), Modeling and Simulation (81 citations), Atomic and Molecular Physics, and Optics (350 citations), Physical and Theoretical Chemistry (89 citations) and Cognitive Neuroscience (147 citations). Andreas Dechant has collaborated with scholars based in Japan, Germany and Israel. Frequent co-authors include Eric Lutz, Shin-ichi Sasa, Shin‐ichi Sasa, Sosuke Ito, Eli Barkai, Nikolai Kiesel, David A. Kessler, Takahiro Sagawa, Artur Widera and Farina Kindermann. Their work appears in journals such as Physical review. E, Physical Review Letters, Journal of Physics A Mathematical and Theoretical, Physical Review Research and Carbon.
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.