Thomas Guhr

141 papers receiving 4.2k citations

Thomas Guhr's Hit Papers

Random matrix approach to cross correlations in financial data 2002 · 597 citations
5970+9+18Years since publication50010001.5k

Peers

Thomas Guhr
Comparison fields: 5 of 98
  • Statistical and Nonlinear Physics 2.6k
  • Condensed Matter Physics 751
  • Statistics and Probability 511
  • Finance 537
  • Atomic and Molecular Physics, and Optics 1.6k
Replace Ya. G. Sinaǐ with:
Ya. G. Sinaǐ Russia
Sergio Albeverio Germany
Yan V. Fyodorov United Kingdom
Alain Comtet France
L. А. Pastur Ukraine
H. P. McKean United States
Peter J. Forrester Australia
Naomichi Hatano Japan
F. Leyvraz Mexico
Z. Burda Poland
Thomas Guhr relative to Ya. G. Sinaǐ Russia Ya. G. Sinaǐ's profile →
Citations per field
00.5×2.6×
Ya. G. Sinaǐ · 1×
Citations per year

Countries citing papers authored by Thomas Guhr

Since Specialization
Citations

This map shows the geographic impact of Thomas Guhr'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 Thomas Guhr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Guhr more than expected).

Fields of papers citing papers by Thomas Guhr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Guhr. 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 Thomas Guhr. The network helps show where Thomas Guhr may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Guhr, 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 Thomas Guhr Line = papers co-authored together Thomas Guhr links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Random-matrix theories in quantum physics: common concepts
Hit paper breakdown →
19981547
2
Random matrix approach to cross correlations in financial data
Hit paper breakdown →
2002597
3 2012152
4 199586
5 199681
6 199080
7 200969
8 199164
9 198955
10 199654
11 199852
12 200348
13 199844
14 199638
15 199337
16 201337
17 199036
18 201036
19 202031
20 201431

About Thomas Guhr

Thomas Guhr is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Economics and Econometrics, Finance and Nuclear and High Energy Physics, having authored 148 papers that have together received 4.3k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (70 papers), Complex Systems and Time Series Analysis (45 papers), Financial Risk and Volatility Modeling (26 papers), Molecular spectroscopy and chirality (19 papers), Quantum many-body systems (19 papers), Cold Atom Physics and Bose-Einstein Condensates (19 papers), Theoretical and Computational Physics (18 papers) and Random Matrices and Applications (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.6k citations), Condensed Matter Physics (751 citations), Statistics and Probability (511 citations), Finance (537 citations) and Atomic and Molecular Physics, and Optics (1.6k citations). Thomas Guhr has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Hans A. Weidenmüller, Axel Müller–Groeling, H. Eugene Stanley, Bernd Rosenow, Parameswaran Gopikrishnan, Luı́s A. Nunes Amaral, Vasiliki Plerou, Rudi Schäfer, H. A. Weidenmüller and Michael C. Münnix. Their work appears in journals such as Physical Review Letters, Physica A Statistical Mechanics and its Applications, Journal of Physics A Mathematical and Theoretical, Annals of Physics and Physical review. E.

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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