Andreas Dechant

1.7k citations
33 papers · 1.1k · h-index 20

Impact in

Papers in

Andreas Dechant

30 papers receiving 1.1k citations

Peers

Andreas Dechant
Comparison fields: 5 of 65
  • Statistical and Nonlinear Physics 920
  • Modeling and Simulation 84
  • Atomic and Molecular Physics, and Optics 353
  • Physical and Theoretical Chemistry 89
  • Cognitive Neuroscience 155
Replace Patrick Pietzonka with:
Patrick Pietzonka Germany
Karel Netočný Czechia
Chulan Kwon South Korea
P. H�nggi Germany
Gianmaria Falasco Luxembourg
Raphaël Chétrite France
Sosuke Ito Japan
Matteo Polettini Luxembourg
Izaak Neri United Kingdom
Tim Schmiedl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Dechant

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Andreas Dechant Line = papers co-authored together Andreas Dechant links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 2020104
3 201893
4 201593
5 202086
6 201857
7 202255
8 201647
9 201439
10 202236
11 201135
12 202032
13
Solution of the Fokker-Planck Equation with a Logarithmic Potential
201632
14 202327
15 201227
16 201527
17 201624
18 201922
19 202222
20 201519

About Andreas Dechant

Andreas Dechant is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Physical and Theoretical Chemistry and Modeling and Simulation, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (24 papers), stochastic dynamics and bifurcation (16 papers), Statistical Mechanics and Entropy (9 papers), Neural dynamics and brain function (6 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 (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (920 citations), Modeling and Simulation (84 citations), Atomic and Molecular Physics, and Optics (353 citations), Physical and Theoretical Chemistry (89 citations) and Cognitive Neuroscience (155 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, Farina Kindermann and Artur Widera. Their work appears in journals such as Physical review. E, Physical Review Letters, Journal of Physics A Mathematical and Theoretical, Physical Review Research and Nature 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.

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