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D-Index & Metrics

Mathematics

D-Index
37
Citations
14319
World Ranking
2414
National Ranking
15

László Györfi 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 László Györfi 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: 194 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

László Györfi 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 László Györfi 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

László Györfi is affiliated with the Budapest University of Technology and Economics in Hungary. Their research is primarily focused on the intersection of mathematics and computer science.

The main fields of study in their work include:

  • Mathematics
  • Computer Science

Within these fields, their specialization spans several subfields such as:

  • Artificial Intelligence
  • Statistics and Probability
  • Applied Mathematics
  • Statistics, Probability and Uncertainty
  • Finance

The key topics addressed in Györfi's work include:

  • Statistical Methods and Inference
  • Privacy-Preserving Technologies in Data
  • Machine Learning and Algorithms
  • Bayesian Modeling and Causal Inference
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference

Recent papers authored by Györfi illustrate the breadth of their research, featuring publication years and venues as follows:

  • "Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces" (2020, arXiv (Cornell University))
  • "Lossless Transformations and Excess Risk Bounds in Statistical Inference" (2023, Entropy)
  • "Multivariate density estimation from privatised data: universal consistency and minimax rates" (2023, Journal of nonparametric statistics)
  • "On Rate Optimal Private Regression Under Local Differential Privacy" (2023, Statistica Sinica)
  • "On the strong stability of ergodic iterations" (2024, Journal of Applied Probability)

The frequent co-authors collaborating with Györfi include:

  • Harro Walk
  • Tamás Linder
  • Martin H. Kroll
  • Roi Weiss
  • Attila Lovas

Györfi has published multiple times in established venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Theory
  • Entropy
  • Journal of nonparametric statistics
  • Statistica Sinica

Best Publications

  • A Probabilistic Theory of Pattern Recognition

    Luc Devroye;László Györfi;Gábor Lugosi

  • A Distribution-Free Theory of Nonparametric Regression

    László Györfi

  • Nonparametric density estimation : the L[1] view

    Luc Devroye;László Györfi

  • Nonparametric entropy estimation. An overview

    J. Beirlant;EJ Dudewicz;László Györfi;István Dénes

  • Nonparametric Density Estimation: The L 1 View.

    Unknown

  • On the Strong Universal Consistency of Nearest Neighbor Regression Function Estimates

    Luc Devroye;Laszlo Gyorfi;Adam Krzyzak;Gabor Lugosi

  • Constructions of binary constant-weight cyclic codes and cyclically permutable codes

    Nguyen Q. A;L. Gyorfi;J.L. Massey

  • NONPARAMETRIC KERNEL-BASED SEQUENTIAL INVESTMENT STRATEGIES

    László Györfi;Gábor Lugosi;Frederic Udina

  • Consistent Nonparametric Tests of Independence

    Arthur Gretton;Arthur Gretton;László Györfi

  • Distribution estimation consistent in total variation and in two types of information divergence

    A.R. Barron;L. Gyorfi;E.C. van der Meulen

  • Density-free convergence properties of various estimators of entropy

    László Györfi;Edward C. van der Meulen

  • Partitioning-estimates of a regression function under random censoring

    A. Carbonez;L. Györfi;E.C. van der Meulen

  • Nonparametric nearest neighbor based empirical portfolio selection strategies

    László Györfi;Frederic Udina;Harro Walk

  • Strong consistency and rates for recursive probability density estimators of stationary processes

    Elias Masry;László Györfi

  • Lower bounds for Bayes error estimation

    A. Antos;L. Devroye;L. Gyorfi

  • Nonparametric inference for ergodic, stationary time series

    Gusztáv Morvai;Sidney Yakowitz;László Györfi

  • Limits to consistent on-line forecasting for ergodic time series

    L. Gyorfi;G. Morvai;S.J. Yakowitz

  • Constructions of protocol sequences for multiple access collision channel without feedback

    L. Gyorfi;I. Vajda

  • Hannan consistency in on-line learning in case of unbounded losses under partial monitoring

    Chamy Allenberg;Peter Auer;Laszlo Györfi;György Ottucsak

  • The estimation problem of minimum mean squared error

    Luc Devroye;Dominik Schäfer;László Györfi;Harro Walk

  • There is no universal source code for an infinite source alphabet

    L. Gyorfi;I. Pali;E.C. Van der Meulen

Frequent Co-Authors

Gábor Lugosi
Gábor Lugosi Pompeu Fabra University
Luc Devroye
Luc Devroye McGill University
Adam Krzyżak
Adam Krzyżak Concordia University
Jan Beirlant
Jan Beirlant KU Leuven
Elias Masry
Elias Masry University of California, San Diego
Arthur Gretton
Arthur Gretton University College London
András György
András György New York University Abu Dhabi
Andrew R. Barron
Andrew R. Barron Swansea University
Peter Auer
Peter Auer University of Leoben
Ezio Biglieri
Ezio Biglieri Pompeu Fabra University

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