World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4476
World Ranking
13598
National Ranking
5429

Maria Klawe publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Maria Klawe sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Maria Klawe D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Maria Klawe sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2013 - Fellow of the American Mathematical Society
  • 2009 - Fellow of the American Academy of Arts and Sciences
  • 1996 - ACM Fellow For outstanding technical, educational, and disciplinary leadership, and for significant contributions to theoretical computer science and to educational applications of computing technology.

Overview

Maria Klawe is affiliated with Harvey Mudd College in the United States and has published research spanning both Mathematics and Computer Science. Their work engages with topics in discrete mathematics, combinatorics, topology, theoretical computer science, and educational psychology.

Recent publications include:

  • "On the Ramsey numbers of odd-linked double stars," 2022, Discrete Mathematics
  • "As a CS educator, how do you think we can address inequity issues that exist in the field?", 2022, ACM SIGCSE Bulletin
  • "On the Ramsey Numbers of Odd-Linked Double Stars," 2021, arXiv (Cornell University)
  • "Maria Klawe Reflects on Her Career So Far, Part I," 2024, Notices of the American Mathematical Society
  • "Jim Simons (1938-2024)," 2024, Notices of the American Mathematical Society

Frequent coauthors include:

  • Chaitanya Karamchedu
  • Mark C. Wilson
  • Jeffrey S. Miller
  • Charles Wallace
  • Haydee Lindo

Maria Klawe's publications have been featured primarily in the following venues:

  • Notices of the American Mathematical Society
  • Discrete Mathematics
  • ACM SIGCSE Bulletin
  • arXiv (Cornell University)

Their primary fields of study are:

  • Mathematics
  • Computer Science

Subfields addressed include:

  • Discrete Mathematics and Combinatorics
  • Geometry and Topology
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Developmental and Educational Psychology

The main research topics covered by Maria Klawe are:

  • Limits and Structures in Graph Theory
  • Advanced Topology and Set Theory
  • Advanced Graph Theory Research
  • Teaching and Learning Programming
  • Online Learning and Analytics
  • Innovative Teaching and Learning Methods

Among recognitions earned, Maria Klawe is a:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • Fellow of the American Mathematical Society, 2013
  • Fellow of the American Academy of Arts and Sciences, 2009
  • ACM Fellow, 1996, awarded for outstanding technical, educational, and disciplinary leadership, as well as significant contributions to theoretical computer science and educational applications of computing technology

Best Publications

  • Geometric applications of a matrix-searching algorithm

    Alok Aggarwal;Maria M. Klawe;Shlomo Moran;Peter W. Shor

  • An O(n log n) unidirectional distributed algorithm for extrema finding in a circle

    Danny Dolev;Maria M. Klawe;Michael Rodeh

  • Traditional Galleries Require Fewer Watchmen

    J. Kahn;M. Klawe;D. Kleitman

  • Playing together beats playing apart, especially for girls

    Kori Inkpen;Kellogg S. Booth;Maria Klawe;Rena Upitis

  • The participatory design of a sound and image enhanced daily planner for people with aphasia

    Karyn Moffatt;Joanna McGrenere;Barbara Purves;Maria Klawe

  • Women in computing: where are we now?

    Maria Klawe;Nancy Leveson

  • An almost linear time algorithm for generalized matrix searching

    Maria M. Klawe;Daniel J. Kleitman

  • Role of interface manipulation style and scaffolding on cognition and concept learning in learnware

    Kamran Sedig;Maria Klawe;Marvin Westrom

  • Participatory design with proxies: developing a desktop-PDA system to support people with aphasia

    Jordan L. Boyd-Graber;Sonya S. Nikolova;Karyn A. Moffatt;Kenrick C. Kin

  • Turn-Taking Protocols for Mouse-Driven Collaborative Environments

    Kori Inkpen;Joanna McGrenere;Kellogg S. Booth;Maria Klawe

  • Give and take: children collaborating on one computer

    Kori Inkpen;Kellogg S. Booth;Steven D. Gribble;Maria Klawe

  • Women in computing---take 2

    Maria Klawe;Telle Whitney;Caroline Simard

  • We Have Never-Forgetful Flowers In Our Garden: Girls'' Responses to Electronic Games

    Kori Inkpen;Maria Klawe;Joan Lawry;Kamran Sedighian

  • Bounding Fan-out in Logical Networks

    H. J. Hoover;M. M. Klawe;N. J. Pippenger

  • Bounded-depth, polynomial-size circuits for symmetric functions

    Ronald Fagin;Maria M. Klawe;Nicholas J. Pippenger;Larry Stockmeyer

  • Multilayer grid embeddings for VLSI

    Alok Aggarwal;Maria M. Klawe;Peter W. Shor

  • The effect of turn-taking protocols on children's learning in mouse-driven collaborative environments

    Kori Inkpen;Joanna McGrenere;Kellogg S. Booth;Maria Klawe

  • Applications of generalized matrix searching to geometric algorithms

    Alok Aggarwal;Maria Klawe

  • On monotone formulae with restricted depth

    Maria Klawe;Wolfgang J. Paul;Nicholas Pippenger;Mihalis Yannakakis

  • Polygon triangulation inO(n log logn) time with simple data structures

    David G. Kirkpatrick;Maria M. Klawe;Robert E. Tarjan

  • Unidirectional Distributed Algorithm for Extrema Finding in a Circle

    Danny Dolev;Maria Klawe;Michael Rodeh

Frequent Co-Authors

Kori Inkpen
Kori Inkpen Microsoft (United States)
Kellogg S. Booth
Kellogg S. Booth University of British Columbia
Alok Aggarwal
Alok Aggarwal IBM (United States)
Joanna McGrenere
Joanna McGrenere University of British Columbia
David G. Kirkpatrick
David G. Kirkpatrick University of British Columbia
Nicholas Pippenger
Nicholas Pippenger Harvey Mudd College
Cristina Conati
Cristina Conati University of British Columbia
Avi Wigderson
Avi Wigderson Institute for Advanced Study
Frank Harary
Frank Harary New Mexico State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring an online degree in Computer Science offers flexibility, affordability, and a range of pathways to launch or advance your tech career. Many students start with associates degrees online, which provide foundational computing and programming skills in as little as two years. These programs are ideal for those seeking entry-level IT roles or planning to transfer credits toward a bachelor’s degree.

For those looking to advance further, considering the most useful graduate degrees is key. Master’s degrees in Computer Science and related fields are in high demand and can unlock specialized career opportunities in data science, AI, and cybersecurity.

Affordability is a top concern. Fortunately, there are cheap online college classes that help keep tuition costs manageable, making it easier for students of all backgrounds to access top education.

If your academic history presents challenges, don’t worry. Many online graduate programs that accept 2.0 gpa are available, offering pathways to continue your studies even with a lower GPA.

Best Scientists Citing Maria Klawe

Trending Scientists

Recently Published Articles