World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
46
Citations
6031
World Ranking
1404
National Ranking
618

Computer Science

D-Index
46
Citations
6032
World Ranking
6954
National Ranking
3040

Jeff Erickson 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 Jeff Erickson 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: 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.

Jeff Erickson 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 Jeff Erickson 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: 46 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Overview

Jeff Erickson is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple areas within computer science, with a focus on computational theory and mathematics, computer graphics and computer-aided design, artificial intelligence, computer vision and pattern recognition, and computational mechanics.

They have contributed extensively to topics such as computational geometry and mesh generation, complexity and algorithms in graphs, advanced graph theory research, 3D shape modeling and analysis, machine learning and algorithms, topological and geometric data analysis, and semigroups and automata theory.

Jeff Erickson has published research in several venues, often contributing to:

  • arXiv (Cornell University)
  • SIAM Journal on Computing
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Logical Methods in Computer Science
  • Discrete & Computational Geometry

Recent publications by Erickson include:

  • Smoothing the Gap Between NP and ER, 2022, SIAM Journal on Computing
  • A Toroidal Maxwell-Cremona-Delaunay Correspondence, 2020, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Fusible numbers and Peano Arithmetic, 2022, Logical Methods in Computer Science
  • Topologically Trivial Closed Walks in Directed Surface Graphs, 2020, Discrete & Computational Geometry

Their coauthors frequently include Patrick Lin, Jordi L. Vermeulen, Tillmann Miltzow, Paul Bastide, and Linda S. Cook.

Best Publications

  • Indexing moving points

    Pankaj K. Agarwal;Lars Arge;Jeff Erickson

  • Optimally Cutting a Surface into a Disk

    Jeff Erickson;Sariel Har-Peled

  • Raising Roofs, Crashing Cycles, and Playing Pool: Applications of a Data Structure for Finding Pairwise Interactions

    David Eppstein;Jeff Erickson

  • Greedy optimal homotopy and homology generators

    Jeff Erickson;Kim Whittlesey

  • Output-Sensitive Algorithms for Computing Nearest-Neighbour Decision Boundaries

    David Bremner;Erik Demaine;Jeff Erickson;John Iacono

  • Indexing moving points (extended abstract)

    Pankaj K. Agarwal;Lars Arge;Jeff Erickson

  • Iterated nearest neighbors and finding minimal polytopes

    David Eppstein;Jeff Erickson

  • New Lower Bounds for Convex Hull Problems in Odd Dimensions

    Jeff Erickson

  • Homology Flows, Cohomology Cuts

    Erin W. Chambers;Jeff G Erickson;Amir Nayyeri

  • Minimum-cost coverage of point sets by disks

    Helmut Alt;Esther M. Arkin;Hervé Brönnimann;Jeff Erickson

  • Efficient searching with linear constraints

    Pankaj K. Agarwal;Lars Arge;Jeff Erickson;Paolo G. Franciosa

  • Dense Point Sets Have Sparse Delaunay Triangulations or ... But Not Too Nasty

    Jeff Erickson

  • Nice Point Sets Can Have Nasty Delaunay Triangulations

    Jeff Erickson

  • New lower bounds for Hopcroft's problem

    J. Erickson

  • Kinetic binary space partitions for intersecting segments and disjoint triangles

    Pankaj K. Agarwal;Jeff Erickson;Leonidas J. Guibas

  • Algorithmic issues in modeling motion

    Pankaj K. Agarwal;Leonidas J. Guibas;Herbert Edelsbrunner;Jeff Erickson

  • Spacetime meshing with adaptive refinement and coarsening

    Reza Abedi;Shuo-Heng Chung;Jeff Erickson;Yong Fan

  • Vietoris–Rips Complexes of Planar Point Sets

    Erin W. Chambers;Vin de Silva;Jeff Erickson;Robert Ghrist

  • Homotopic Fréchet distance between curves or, walking your dog in the woods in polynomial time

    Erin Wolf Chambers;Éric Colin de Verdière;Jeff Erickson;Sylvain Lazard

  • Building spacetime meshes over arbitrary spatial domains

    Jeff Erickson;Damrong Guoy;M. Sullivan;Alper Üngör

  • Minimum-Cost Coverage of Point Sets by Disks

    Esther M. Arkin;Herve Broennimann;Jeff Erickson;Sandor P. Fekete

  • Iterated nearest neighbors and finding minimal polytypes

    David Eppstein;Jeff Erickson

  • Raising roofs, crashing cycles, and playing pool: applications of a data structure for finding pairw

    David Eppstein;Jeff Erickson

Frequent Co-Authors

Leonidas J. Guibas
Leonidas J. Guibas Stanford University
David Eppstein
David Eppstein University of California, Irvine
Pankaj K. Agarwal
Pankaj K. Agarwal Duke University
Sariel Har-Peled
Sariel Har-Peled University of Illinois at Urbana-Champaign
Lars Arge
Lars Arge Aarhus University
Pat Morin
Pat Morin Carleton University
Li Zhang
Li Zhang Google (United States)
Mark H. Overmars
Mark H. Overmars Utrecht University
Robert B. Haber
Robert B. Haber University of Illinois at Urbana-Champaign

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Related Online Degrees & Career Pathways

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If advancing quickly in business leadership appeals to you, consider enrolling in one of the 1 year MBA programs in USA. Their accelerated structure allows math graduates to gain managerial skills without a long break from their careers.

Many students also face the challenge of transferring credits when switching programs. To ease this transition, it helps to look into MBA programs that accept transfer credits, allowing for more flexible academic planning without losing valuable progress.

For those passionate about turning raw data into insights, pursuing data analytics masters programs offers an excellent pathway. These programs build upon mathematical foundations and lead to careers in high-demand tech and finance sectors.

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