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Gesine Reinert 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 Gesine Reinert 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+

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

Gesine Reinert 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 Gesine Reinert 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+

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

Overview

Gesine Reinert is affiliated with the University of Oxford in the United Kingdom. Their research spans multiple fields, primarily focused on Computer Science and Mathematics, with significant contributions in Statistics and Probability, Artificial Intelligence, Molecular Biology, Statistical and Nonlinear Physics, and Economics and Econometrics.

Their scholarly work covers a wide range of topics, including:

  • Complex Network Analysis Techniques
  • Bioinformatics and Genomic Networks
  • Random Matrices and Applications
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Advanced Graph Neural Networks
  • Complex Systems and Time Series Analysis

Reinert has published extensively in several venues, with a strong presence in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Complex Networks
  • SSRN Electronic Journal
  • Bioinformatics

Their recent published papers illustrate a diverse research portfolio. Selected works include:

  • "Core-periphery structure in directed networks," 2020, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
  • "Lead-lag detection and network clustering for multivariate time series with an application to the US equity market," 2022, Machine Learning
  • "Hypergraphs for predicting essential genes using multiprotein complex data," 2020, Journal of Complex Networks
  • "Functional module detection through integration of single-cell RNA sequencing data with protein-protein interaction networks," 2020, BMC Genomics
  • "Stein's Method Meets Computational Statistics: A Review of Some Recent Developments," 2022, Statistical Science

They have collaborated frequently with multiple researchers, including:

  • Mihai Cucuringu (26 coauthored works)
  • Charlotte M. Deane (13 coauthored works)
  • Andrew Elliott (8 coauthored works)
  • Javier Pardo-Diaz (7 coauthored works)
  • Robert E. Gaunt (5 coauthored works)

Best Publications

  • Probabilistic and Statistical Properties of Words: An Overview

    Gesine Reinert;Sophie Schbath;Michael S. Waterman

  • Alignment-free sequence comparison (I): statistics and power.

    Gesine Reinert;David Chew;Fengzhu Sun;Michael S. Waterman

  • Stein's method and the zero bias transformation with application to simple random sampling

    Larry Goldstein;Gesine Reinert

  • Multivariate normal approximation with Stein’s method of exchangeable pairs under a general linearity condition

    Gesine Reinert;Adrian Röllin

  • Estimating the Number of Communities in a Network.

    M. E. J. Newman;M. E. J. Newman;Gesine Reinert

  • Use of exchangeable pairs in the analysis of simulations

    Charles Stein;Persi Diaconis;Susan Holmes;Gesine Reinert

  • Stein's method for comparison of univariate distributions

    Christophe Ley;Gesine Reinert;Yvik Swan

  • Invariance Principles for Homogeneous Sums: Universality of Gaussian Wiener Chaos

    Ivan Nourdin;Giovanni Peccati;Gesine Reinert

  • Alignment-free sequence comparison (II): theoretical power of comparison statistics.

    Lin Wan;Gesine Reinert;Fengzhu Sun;Michael S. Waterman

  • Small worlds

    A. D. Barbour;Gesine Reinert

  • Compound Poisson and Poisson Process Approximations for Occurrences of Multiple Words in Markov Chains

    Gesine Reinert;Sophie Schbath

  • Approximating the epidemic curve

    Andrew David Barbour;Gesine Reinert

  • Second order Poincaré inequalities and CLTs on Wiener space

    Ivan Nourdin;Giovanni Peccati;Gesine Reinert

  • Poisson Process Approximation for Sequence Repeats, and Sequencing by Hybridization

    Richard Arratia;Daniela Martin;Gesine Reinert;Michael S. Waterman

  • Three general approaches to Stein's method

    Gesine Reinert

  • Chi-square approximation by Stein's method with application to Pearson's statistic

    Robert E. Gaunt;Alastair M. Pickett;Gesine Reinert

  • Stein's method for the Beta distribution and the Pólya-Eggenberger urn

    Larry Goldstein;Gesine Reinert

  • Efficient method for estimating the number of communities in a network

    Maria A. Riolo;George T. Cantwell;Gesine Reinert;Mark E. J. Newman

  • Discussion on the paper by Handcock, Raftery and Tantrum

    Tom A. B. Snijders;Tony Robinson;Anthony C. Atkinson;Marco Riani

  • Second order Poincar'e inequalities and CLTs on Wiener space

    Ivan Nourdin;Giovanni Peccati;Gesine Reinert

Frequent Co-Authors

Charlotte M. Deane
Charlotte M. Deane University of Oxford
Fengzhu Sun
Fengzhu Sun University of Southern California
Michael S. Waterman
Michael S. Waterman University of Southern California
Claudia Klüppelberg
Claudia Klüppelberg Technical University of Munich
Jukka-Pekka Onnela
Jukka-Pekka Onnela Harvard University
Giovanni Peccati
Giovanni Peccati University of Luxembourg
Ivan Nourdin
Ivan Nourdin University of Luxembourg
Judith P. Armitage
Judith P. Armitage University of Oxford
Philip S. Poole
Philip S. Poole University of Oxford
Helen M. Byrne
Helen M. Byrne University of Oxford

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