World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
31
Citations
3196
World Ranking
3388
National Ranking
207

Michael H. Neumann 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 Michael H. Neumann 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Michael H. Neumann 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 Michael H. Neumann 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: 31 D-Index — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Overview

Michael H. Neumann is a researcher affiliated with Friedrich Schiller University Jena in Germany. Their academic work spans multiple fields with significant contributions in Mathematics, Economics, Econometrics and Finance, and Computer Science.

The primary subfields of study for Neumann include:

  • Statistics and Probability
  • Finance
  • Artificial Intelligence
  • Signal Processing
  • Statistics, Probability and Uncertainty

The main research topics covered in their publications are:

  • Statistical Methods and Inference
  • Financial Risk and Volatility Modeling
  • Bayesian Methods and Mixture Models
  • Statistical Distribution Estimation and Applications
  • Advanced Statistical Process Monitoring
  • Monetary Policy and Economic Impact
  • Forecasting Techniques and Applications

Neumann has contributed to the following frequent publication venues:

  • arXiv (Cornell University)
  • Bernoulli
  • Latin American Journal of Probability and Mathematical Statistics
  • Statistica Neerlandica
  • The Annals of Applied Probability

The following papers highlight some of their recent work:

  • Bootstrap for integer-valued GARCH(p, q) processes, 2021, Statistica Neerlandica
  • Mixing properties of integer-valued GARCH processes, 2021, Latin American Journal of Probability and Mathematical Statistics
  • Stationarity and ergodic properties for some observation-driven models in random environments, 2023, The Annals of Applied Probability
  • On Integrated L 1 Convergence Rate of an Isotonic Regression Estimator for Multivariate Observations, 2020, IEEE Transactions on Information Theory
  • Consistency of a nonparametric least squares estimator in integer-valued GARCH models, 2022, Journal of nonparametric statistics

Neumann frequently collaborates with other researchers, including:

  • Anne Leucht
  • Paul Doukhan
  • Lionel Truquet
  • Zinsou Max Debaly
  • Naushad Mamode Khan

Best Publications

  • Wavelet thresholding in anisotropic function classes and application to adaptive estimation of evolutionary spectra

    Michael H. Neumann;Rainer von Sachs

  • On the effect of estimating the error density in nonparametric deconvolution

    Michael H. Neumann;O. Hössjer

  • Nonparametric estimation for Lévy processes from low-frequency observations

    Michael H. Neumann;Markus Reiß

  • Exact Risk Analysis of Wavelet Regression

    J. S. Marron;S. Adak;I. M. Johnstone;M. H. Neumann

  • Predictable Dynamics in Higher-Order Risk-Neutral Moments: Evidence from the S&P 500 Options

    Michael Neumann;George Skiadopoulos

  • Absolute regularity and ergodicity of Poisson count processes

    Michael H. Neumann

  • SPECTRAL DENSITY ESTIMATION VIA NONLINEAR WAVELET METHODS FOR STATIONARY NON‐GAUSSIAN TIME SERIES

    Michael H. Neumann

  • Simultaneous bootstrap confidence bands in nonparametric regression

    Michael H. Neumann;Jörg Polzehl

  • A Wavelet‐Based Test for Stationarity

    Rainer Von Sachs;Michael H. Neumann

  • Probability and moment inequalities for sums of weakly dependent random variables, with applications

    Paul Doukhan;Michael H. Neumann

  • Regression-type inference in nonparametric autoregression

    Michael H. Neumann;Jens-Peter Kreiss

  • Problems related to confidence intervals for impulse responses of autoregressive processes

    Alexander Benkwitz;Michael H. Neumann;Helmut Lütekpohl

  • Nonlinear Wavelet Estimation of Time-Varying Autoregressive Processes

    Rainer Dahlhaus;Michael H. Neumann;Rainer Von Sachs

  • Bootstrapping Neural Networks

    Jürgen Franke;Michael H. Neumann

  • Dependent wild bootstrap for degenerate U- and V-statistics

    Anne Leucht;Michael H. Neumann

  • Wavelet Thresholding: Beyond the Gaussian I.I.D. Situation

    Michael H. Neumann;Rainer von Sachs

  • Fully Data-Driven Nonparametric Variance Estimators

    Michael H. Neumann

  • An exponential inequality under weak dependence

    Raoul S. Kallabis;Michael H. Neumann

  • Deconvolution from panel data with unknown error distribution

    Michael H. Neumann

  • Bootstrap tests for simple structures in nonparametric time series regression

    Jens-Peter Kreiss;Michael H. Neumann;Qiwei Yao

  • Nonlinear Wavelet Estimation of Time-Varying Autoregressive Processes

    Rainer Dahlhaus;M. Neumann;R. von Sachs

Frequent Co-Authors

Ralf Schulz
Ralf Schulz University of Koblenz and Landau
Konstantinos Fokianos
Konstantinos Fokianos University of Cyprus
Efstathios Paparoditis
Efstathios Paparoditis University of Cyprus
Hans Peter H. Arp
Hans Peter H. Arp Norwegian University of Science and Technology
Matthias Liess
Matthias Liess Helmholtz Centre for Environmental Research
Enno Mammen
Enno Mammen Heidelberg University
Sarah E. Hale
Sarah E. Hale Norwegian Geotechnical Institute
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Urs Berger
Urs Berger Helmholtz Centre for Environmental Research
Hans-Ulrich Prokosch
Hans-Ulrich Prokosch University of Erlangen-Nuremberg

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