World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
10596
World Ranking
2422
National Ranking
148

Thomas Guhr publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Thomas Guhr sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 210 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Thomas Guhr D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Thomas Guhr sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 37 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Thomas Guhr is affiliated with the University of Duisburg-Essen in Germany. Their research intersects the fields of Physics and Astronomy as well as Economics, Econometrics and Finance. The main concentration of their work is in Statistical and Nonlinear Physics, Economics and Econometrics, Atomic and Molecular Physics, and Optics. Key topics include Complex Systems and Time Series Analysis, Quantum Many-Body Systems, Theoretical and Computational Physics, Complex Network Analysis Techniques, Quantum Chaos and Dynamical Systems, Random Matrices and Applications, and Financial Risk and Volatility Modeling.

Their recent publication record features papers covering a diverse range of theoretical and applied physics topics, often combined with elements of finance and complex systems. Some notable recent papers include:

  • Uncovering the dynamics of correlation structures relative to the collective market motion, 2020, Journal of Statistical Mechanics Theory and Experiment
  • Exact local correlations in kicked chains, 2020, Physical Review B
  • Transition from quantum chaos to localization in spin chains, 2020, Physical Review E
  • Quasi-stationary states in temporal correlations for traffic systems: Cologne orbital motorway as an example, 2020, Journal of Statistical Mechanics Theory and Experiment
  • A new attempt to identify long-term precursors for endogenous financial crises in the market correlation structures, 2022, Journal of Statistical Mechanics Theory and Experiment

Guhr frequently publishes in several prominent scientific venues. These include:

  • arXiv (Cornell University)
  • Journal of Statistical Mechanics Theory and Experiment
  • Physica A Statistical Mechanics and its Applications
  • Physical Review E
  • Journal of Physics A Mathematical and Theoretical

Collaboration plays an important role in their scholarly activity. Frequent co-authors are:

  • Michael Schreckenberg
  • Shanshan Wang
  • Anton J. Heckens
  • Henrik M. Bette
  • Daniel Waltner

Their work is positioned at the intersection of physics-based methodologies and financial and economic modeling, exploring how complex dynamical systems behave both theoretically and in application to real-world data such as market correlations and traffic systems. This interdisciplinary approach highlights statistical physics techniques applied to socioeconomic phenomena and complex quantum systems.

Best Publications

  • RANDOM-MATRIX THEORIES IN QUANTUM PHYSICS : COMMON CONCEPTS

    Thomas Guhr;Axel Müller–Groeling;Hans A. Weidenmüller

  • Random Matrix Theories in Quantum Physics: Common Concepts

    Thomas Guhr;Axel Mueller-Groeling;Hans A. Weidenmueller

  • Random matrix approach to cross correlations in financial data.

    Vasiliki Plerou;Vasiliki Plerou;Parameswaran Gopikrishnan;Bernd Rosenow;Bernd Rosenow;Luís A. Nunes Amaral

  • Identifying States of a Financial Market

    Michael C. Münnix;Michael C. Münnix;Takashi Shimada;Takashi Shimada;Rudi Schäfer;Francois Leyvraz

  • Spectral Statistics of Acoustic Resonances in Aluminum Blocks.

    Clive Sigurd Ellegaard;T. Guhr;K. Lindemann;H.Q. Lorensen

  • Symmetry Breaking and Spectral Statistics of Acoustic Resonances in Quartz Blocks

    C Ellegaard;T Guhr;K Lindemann;J Nygård

  • Dyson’s correlation functions and graded symmetry

    Thomas Guhr

  • A new method to estimate the noise in financial correlation matrices

    Thomas Guhr;Bernd Kalber;Bernd Kalber

  • Microscopic spectrum of the QCD Dirac operator with finite quark masses

    T. Wilke;T. Guhr;T. Wettig

  • Strain in semiconductor core-shell nanowires

    Johan Grönqvist;Niels Søndergaard;Fredrik Boxberg;Thomas Guhr

  • Transitions toward Quantum Chaos: With Supersymmetry from Poisson to Gauss

    Thomas Guhr;Thomas Guhr

  • An Itzykson–Zuber‐like integral and diffusion for complex ordinary and supermatrices

    Thomas Guhr;Tilo Wettig

  • Universal spectral correlations of the Dirac operator at finite temperature

    Thomas Guhr;Tilo Wettig;Tilo Wettig

  • Coexistence of collectivity and chaos in nuclei

    T Guhr;H.A Weidenmüller

  • Particle-time duality in the kicked Ising spin chain

    M Akila;D Waltner;B Gutkin;T Guhr

  • Non-Stationarity in Financial Time Series and Generic Features

    Thilo A. Schmitt;Desislava Chetalova;Rudi Schäfer;Thomas Guhr

  • Impact of the tick-size on financial returns and correlations

    Michael C. Münnix;Rudi Schäfer;Thomas Guhr

  • Recursive construction for a class of radial functions. I. Ordinary space

    Thomas Guhr;Heiner Kohler

  • Non-stationarity in financial time series: Generic features and tail behavior

    Thilo A. Schmitt;Desislava Chetalova;Rudi Schäfer;Thomas Guhr

  • Particle-Time Duality in the Kicked Ising Chain I: The Dual Operator

    M. Akila;D. Waltner;B. Gutkin;T. Guhr

  • Identifying States of a Financial Market

    Michael C. Münnix;Takashi Shimada;Rudi Schäfer;Francois Leyvraz Thomas H. Seligman

Frequent Co-Authors

Boris Gutkin
Boris Gutkin École Normale Supérieure
Achim Richter
Achim Richter Technical University of Darmstadt
Michael Schreckenberg
Michael Schreckenberg University of Duisburg-Essen
Hans-Jürgen Sommers
Hans-Jürgen Sommers University of Duisburg-Essen
Gernot Akemann
Gernot Akemann Bielefeld University
Thomas H. Seligman
Thomas H. Seligman National Autonomous University of Mexico
Hongqi Xu
Hongqi Xu Peking University
H. E. Stanley
H. E. Stanley Boston University
Holger Dette
Holger Dette Ruhr University Bochum
Lars Montelius
Lars Montelius Lund University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Mathematics in the USA, exploring related online degrees can expand career opportunities significantly. Many professionals complement their math background with business-oriented programs like a one year MBA, which can enhance leadership and management skills in a shorter timeframe.

Additionally, those considering an MBA often wonder, can you transfer MBA credits? This flexibility can save time and reduce educational costs, making it easier to pivot or advance in one’s career.

Math graduates interested in the growing field of analytics should explore a master in data analytics. This degree builds on quantitative skills and opens doors to roles in data science, business intelligence, and more.

For those seeking accessible entry points into graduate business studies, programs listed under easiest MBA can provide practical options that align well with a math foundation and career aspirations.

Best Scientists Citing Thomas Guhr

Trending Scientists

Recently Published Articles