World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
37
Citations
7005
World Ranking
2462
National Ranking
11

Byeong U. Park 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 Byeong U. Park 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: 82 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: 137 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Byeong U. Park 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 Byeong U. Park 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: 137 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.

Research.com Recognitions

  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Byeong U. Park is affiliated with Seoul National University in South Korea. Their research primarily centers on advanced statistical methods and mathematical approaches within the field of mathematics.

Park's work spans several main and subfields, including:

  • Mathematics
  • Statistics and Probability
  • Artificial Intelligence
  • Applied Mathematics
  • Control and Systems Engineering
  • Mathematical Physics

The scientist's research topics cover a range of areas such as:

  • Statistical Methods and Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Control Systems and Identification
  • Point processes and geometric inequalities
  • Morphological variations and asymmetry
  • Topological and Geometric Data Analysis

Byeong U. Park has published frequently in a number of academic venues, including:

  • Bernoulli
  • The Annals of Statistics
  • Electronic Journal of Statistics
  • Statistics and Its Interface
  • arXiv (Cornell University)

Recent published papers authored or coauthored by Park include:

  • "Additive regression with Hilbertian responses" (2020, The Annals of Statistics)
  • "Additive regression for non-Euclidean responses and predictors" (2021, The Annals of Statistics)
  • "Nonparametric regression with parametric help" (2020, Electronic Journal of Statistics)
  • "Nonparametric regression on Lie groups with measurement errors" (2022, The Annals of Statistics)
  • "Locally polynomial Hilbertian additive regression" (2022, Bernoulli)

Their frequent coauthors include:

  • Young Lee
  • Jeong Min Jeon
  • Enno Mammen
  • Ingrid Van Keilegom
  • Hyerim Hong

In 2005, Byeong U. Park was named a Fellow of the American Statistical Association (ASA).

Best Publications

  • Comparison of Data-Driven Bandwidth Selectors

    Byeong U. Park;J. S. Marron

  • A note on the convergence of nonparametric DEA estimators for production efficiency scores

    Alois Kneip;Byeong U. Park;Léopold Simar

  • Choice of neighbor order in nearest-neighbor classification

    Peter Hall;Byeong U. Park;Richard J. Samworth

  • Smoothed cross-validation

    Peter Hall;Peter Hall;J. S. Marron;J. S. Marron;Byeong U. Park;Byeong U. Park

  • Nonparametric stochastic frontiers: a local maximum likelihood approach

    Subal C. Kumbhakar;Byeong U. Park;Léopold Simar;Efthymios G. Tsionas

  • On estimation of monotone and concave frontier functions

    Irène Gijbels;Enno Mammen;Byeong U. Park;Léopold Simar

  • The FDH estimator for productivity efficiency scores

    Byeong U. Park;Léopold Simar

  • Model Selection via Bayesian Information Criterion for Quantile Regression Models

    Eun Ryung Lee;Hohsuk Noh;Byeong U. Park

  • A simple root n bandwidth selector

    M. C. Jones;J. S. Marron;B. U. Park

  • Practical performance of several data driven bandwidth selectors

    Byeong U. Park;Berwin A. Turlach

  • Versions of Kernel-Type Regression Estimators

    M. C. Jones;S. J. Davies;B. U. Park

  • Efficient Semiparametric Estimation in a Stochastic Frontier Model

    Byeong u. Park;Léopold Simar

  • Nonparametric conditional efficiency measures: asymptotic properties

    Seok-Oh Jeong;Byeong U. Park;Léopold Simar

  • Stochastic panel frontiers: A semiparametric approach☆

    B. U. Park;R. C. Sickles;Léopold Simar

  • Varying Coefficient Regression Models: A Review and New Developments

    Byeong U. Park;Enno Mammen;Young K. Lee;Eun Ryung Lee

  • Time Series Modelling with Semiparametric Factor Dynamics

    Byeong U. Park;Enno Mammen;Wolfgang Härdle;Szymon Borak

  • Smooth backfitting in generalized additive models

    Kyusang Yu;Byeong U. Park;Enno Mammen

  • Estimation of non-sharp support boundaries

    W. Härdle;B. U. Park;A. B. Tsybakov

  • Semiparametric efficient estimation of dynamic panel data models

    Byeong U. Park;Robin C. Sickles;Léopold Simar

  • Semiparametric efficient estimation of AR(1) panel data models.

    Byeong U. Park;Robin C. Sickles;Léopold Simar

  • A Note on the Convergence of Nonparametric DEA Efficiency Measures

    Alois Kneip;Byeong U. Park;Leopold Simar

Frequent Co-Authors

Léopold Simar
Léopold Simar Université Catholique de Louvain
Enno Mammen
Enno Mammen Heidelberg University
James Stephen Marron
James Stephen Marron University of North Carolina at Chapel Hill
Robin C. Sickles
Robin C. Sickles Rice University
M. C. Jones
M. C. Jones The Open University
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Hans-Georg Müller
Hans-Georg Müller University of California, Davis
Alois Kneip
Alois Kneip University of Bonn
Subal C. Kumbhakar
Subal C. Kumbhakar Binghamton University
Piotr Kokoszka
Piotr Kokoszka Colorado State University

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