World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
53
Citations
10063
World Ranking
911
National Ranking
435

Computer Science

D-Index
56
Citations
19816
World Ranking
3967
National Ranking
1887

Jack Snoeyink 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 Jack Snoeyink 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: 238 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Jack Snoeyink 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 Jack Snoeyink 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: 53 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Overview

Jack Snoeyink is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research primarily spans the field of Computer Science with a strong focus on computational and algorithmic aspects.

Their main fields of study include:

  • Computer Graphics and Computer-Aided Design
  • Molecular Biology
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Signal Processing

The core topics in Jack Snoeyink's research cover:

  • Computational Geometry and Mesh Generation
  • Data Management and Algorithms
  • Digital Image Processing Techniques
  • Advanced Numerical Analysis Techniques
  • 3D Modeling in Geospatial Applications
  • Computer Graphics and Visualization Techniques
  • Biofuel production and bioconversion

Snoeyink's publication record features contributions in several venues, predominantly:

  • UNC Libraries
  • Computational Geometry
  • OPAL (Open@LaTrobe) (La Trobe University)

Notable recent papers include:

  • Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs, 2021, UNC Libraries
  • RNABC: forward kinematics to reduce all-atom steric clashes in RNA backbone, 2020, UNC Libraries
  • Computation of spatial skyline points, 2020, Computational Geometry
  • Tight degree bounds for pseudo-triangulations of points, 2021, UNC Libraries
  • Structure-based function inference using protein family-specific fingerprints, 2020, UNC Libraries

Snoeyink frequently collaborates with other researchers, with frequent co-authors including:

  • Deepak Bandyopadhyay
  • Jane S. Richardson
  • Lutz Kettner
  • Andrew Leaver-Fay
  • Jun Huan

Best Publications

  • MolProbity: More and better reference data for improved all-atom structure validation.

    Christopher J. Williams;Jeffrey J. Headd;Nigel W. Moriarty;Michael G. Prisant

  • MolProbity: all-atom contacts and structure validation for proteins and nucleic acids

    Ian W. Davis;Andrew Leaver-Fay;Vincent B. Chen;Jeremy N. Block

  • Computing contour trees in all dimensions

    Hamish Carr;Jack Snoeyink;Ulrike Axen

  • Speeding Up the Douglas-Peucker Line-Simplification Algorithm

    John Hershberger;Jack Snoeyink

  • Finding the Medial Axis of a Simple Polygon in Linear Time

    Francis Y. L. Chin;Jack Snoeyink;Cao An Wang

  • Simplifying Flexible Isosurfaces Using Local Geometric Measures

    Hamish Carr;Jack Snoeyink;Michiel van de Panne

  • Combined covalent-electrostatic model of hydrogen bonding improves structure prediction with Rosetta

    Matthew J. O’Meara;Andrew Leaver-Fay;Michael D. Tyka;Amelie Stein

  • KINETIC COLLISION DETECTION FOR SIMPLE POLYGONS

    David G. Kirkpatrick;Jack Snoeyink;Bettina Speckmann

  • Computing minimum length paths of a given homotopy class

    John Hershberger;Jack Snoeyink

  • Streaming computation of Delaunay triangulations

    Martin Isenburg;Yuanxin Liu;Jonathan Shewchuk;Jack Snoeyink

  • Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement

    Andrew P Leaver-Fay;Matthew J. O'Meara;Mike Tyka;Ron Jacak

  • Ray shooting in polygons using geodesic triangulations

    Bernard Chazelle;Herbert Edelsbrunner;Michelangelo Grigni;Leonidas J. Guibas;Leonidas J. Guibas

  • Face fixer: compressing polygon meshes with properties

    Martin Isenburg;Jack Snoeyink

  • Centralized path planning for multiple robots: Optimal decoupling into sequential plans

    Jur van den Berg;Jack Snoeyink;Ming C. Lin;Dinesh Manocha

  • APPROXIMATING POLYGONS AND SUBDIVISIONS WITH MINIMUM-LINK PATHS

    Leonidas J. Guibas;John E. Hershberger;Joseph S.B. Mitchell;Jack Scott Snoeyink

  • Mining protein family specific residue packing patterns from protein structure graphs

    Jun Huan;Wei Wang;Deepak Bandyopadhyay;Jack Snoeyink

  • Efficient ray shooting and hidden surface removal

    de Mt Mark Berg;D Dan Halperin;MH Mark Overmars;J Jack Snoeyink

  • Large mesh simplification using processing sequences

    M. Isenburg;P. Lindstrom;S. Gumhold;J. Snoeyink

  • A lower bound for multicast key distribution

    J. Snoeyink;S. Suri;G. Varghese

  • ON THE TIME BOUND FOR CONVEX DECOMPOSITION OF SIMPLE POLYGONS

    J. Mark Keil;Jack Snoeyink

  • Generalizing Ham Sandwich Cuts to Equitable Subdivisions

    S. Bespamyatnikh;D. Kirkpatrick;J. Snoeyink

Frequent Co-Authors

John Hershberger
John Hershberger Mentor Graphics
Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Micha Sharir
Micha Sharir Tel Aviv University
Marc van Kreveld
Marc van Kreveld Utrecht University
Prosenjit Bose
Prosenjit Bose Carleton University
Herbert Edelsbrunner
Herbert Edelsbrunner Institute of Science and Technology Austria
Joseph S. B. Mitchell
Joseph S. B. Mitchell Stony Brook University
Jan F. Prins
Jan F. Prins University of North Carolina at Chapel Hill
Bettina Speckmann
Bettina Speckmann Eindhoven University of Technology

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Related Online Degrees & Career Pathways

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Another promising direction is a data analytics master's degree, which leverages mathematical expertise to interpret complex datasets and support decision-making across industries. These interconnected pathways highlight how Mathematics can serve as a strong foundation for various online degrees and thriving career options.

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