World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
57
Citations
15261
World Ranking
679
National Ranking
345

Computer Science

D-Index
59
Citations
15997
World Ranking
3392
National Ranking
1645

Haesun 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 Haesun 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: 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: 204 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Haesun 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 Haesun 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: 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: 57 D-Index — 82nd percentile

82% 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

  • 2020 - ACM Fellow For contributions to numerical algorithms, data analytics, and leadership in computational science and engineering
  • 2017 - IEEE Fellow For contributions to large-scale data and visual analytics
  • 2013 - SIAM Fellow For contributions to numerical analysis and the data sciences.

Overview

Haesun Park is affiliated with the Georgia Institute of Technology in the United States. Their research spans across the fields of Engineering and Materials Science, with a focus on subfields such as Electrical and Electronic Engineering, Materials Chemistry, Pharmaceutical Science, Electronic, Optical and Magnetic Materials, and Inorganic Chemistry.

The scientist's work covers a range of topics, including:

  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Advanced Drug Delivery Systems
  • Supercapacitor Materials and Fabrication
  • Inorganic Chemistry and Materials
  • Advanced Battery Technologies Research
  • Advancements in Solid Oxide Fuel Cells

Haesun Park has published recent papers such as:

  • "Evolution of drug delivery systems: From 1950 to 2020 and beyond," 2021, Journal of Controlled Release
  • "Theoretical Design of Lithium Chloride Superionic Conductors for All-Solid-State High-Voltage Lithium-Ion Batteries," 2020, ACS Applied Materials & Interfaces (authored by Dongsu Park)
  • "High-Voltage Phosphate Cathodes for Rechargeable Ca-Ion Batteries," 2020, ACS Energy Letters (authored by Sang-Hyeon Kim)
  • "Formulation composition, manufacturing process, and characterization of poly(lactide-co-glycolide) microparticles," 2020, Journal of Controlled Release (authored by Kinam Park)
  • "Potential Roles of the Glass Transition Temperature of PLGA Microparticles in Drug Release Kinetics," 2020, Molecular Pharmaceutics (authored by Kinam Park)

Frequent co-authors include:

  • Peter Zapol
  • Robert F. Klie
  • John T. Vaughey
  • Kinam Park
  • Saul H. Lapidus

The scientist's frequent publication venues are:

  • ECS Meeting Abstracts
  • Journal of Controlled Release
  • Chemistry of Materials
  • ACS Energy Letters
  • Molecular Pharmaceutics

Haesun Park has received several awards including:

  • ACM Fellow (2020) for contributions to numerical algorithms, data analytics, and leadership in computational science and engineering
  • IEEE Fellow (2017) for contributions to large-scale data and visual analytics
  • SIAM Fellow (2013) for contributions to numerical analysis and the data sciences

Best Publications

  • Orthogonal nonnegative matrix t-factorizations for clustering

    Chris Ding;Tao Li;Wei Peng;Haesun Park

  • Sparse non-negative matrix factorizations via alternating non-negativity-constrained least squares for microarray data analysis

    Hyunsoo Kim;Haesun Park

  • Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method

    Hyunsoo Kim;Haesun Park

  • Missing value estimation for DNA microarray gene expression data: local least squares imputation

    Hyunsoo Kim;Gene H. Golub;Haesun Park

  • Symmetric Nonnegative Matrix Factorization for Graph Clustering.

    Da Kuang;Chris Ding;Haesun Park

  • Generalizing discriminant analysis using the generalized singular value decomposition

    P. Howland;H. Park

  • Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

    Jingu Kim;Yunlong He;Haesun Park

  • Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons

    Jingu Kim;Haesun Park

  • Dimension Reduction in Text Classification with Support Vector Machines

    Hyunsoo Kim;Peg Howland;Haesun Park

  • UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

    Jaegul Choo;Changhyun Lee;Chandan K. Reddy;Haesun Park

  • An optimization criterion for generalized discriminant analysis on undersampled problems

    Jieping Ye;R. Janardan;C.H. Park;H. Park

  • Magnetic field imaging with NV ensembles

    L. M. Pham;D. Le Sage;P. L. Stanwix;T. K. Yeung

  • Protein secondary structure prediction based on an improved support vector machines approach.

    Hyunsoo Kim;Haesun Park

  • Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons

    Jingu Kim;Haesun Park

  • Total Least Norm Formulation and Solution for Structured Problems

    J. Ben Rosen;Haesun Park;John Glick

  • Sparse Nonnegative Matrix Factorization for Clustering

    Jingu Kim;Haesun Park

  • A new optimization criterion for generalized discriminant analysis on undersampled problems

    J. Ye;Ravi Janardan;C.H. Park;H. Park

  • A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering

    Yunjae Jung;Haesun Park;Ding-Zhu Du;Barry L. Drake

  • Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition

    Peg Howland;Moongu Jeon;Haesun Park

  • SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering

    Da Kuang;Sangwoon Yun;Haesun Park

  • SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping

    Ioakeim Perros;Evangelos E. Papalexakis;Haesun Park;Richard Vuduc

Frequent Co-Authors

Jaegul Choo
Jaegul Choo Korea Advanced Institute of Science and Technology
John Stasko
John Stasko Georgia Institute of Technology
Lars Eldén
Lars Eldén Linköping University
Chandan K. Reddy
Chandan K. Reddy Virginia Tech
Jieping Ye
Jieping Ye Alibaba Group (China)
Moongu Jeon
Moongu Jeon Gwangju Institute of Science and Technology
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Alex Endert
Alex Endert Georgia Institute of Technology

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