World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 56 3934 3823 1867 1800 231 33766

Clark Glymour publications per year

The chart shows the history of publications by Clark Glymour between 1970 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Clark Glymour published across 56 years, from 1970 to 2025, averaging 5.9 papers a year. Output peaked at 16 publications in 1987. 1 of the 331 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1970 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 1987. 1970: 2 publications 1971: 1 publication 1972: 4 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 2 publications 1977: 6 publications 1978: 3 publications 1979: 0 publications 1980: 5 publications 1981: 0 publications 1982: 7 publications 1983: 4 publications 1984: 0 publications 1985: 4 publications 1986: 5 publications 1987: 16 publications 1988: 9 publications 1989: 4 publications 1990: 12 publications 1991: 8 publications 1992: 9 publications 1993: 13 publications 1994: 12 publications 1995: 7 publications 1996: 5 publications 1997: 5 publications 1998: 13 publications 1999: 6 publications 2000: 5 publications 2001: 4 publications 2002: 11 publications 2003: 10 publications 2004: 13 publications 2005: 7 publications 2006: 8 publications 2007: 6 publications 2008: 6 publications 2009: 5 publications 2010: 12 publications 2011: 4 publications 2012: 4 publications 2013: 4 publications 2014: 7 publications 2015: 7 publications 2016: 9 publications 2017: 7 publications 2018: 8 publications 2019: 14 publications 2020: 10 publications 2021: 2 publications 2022: 1 publication 2023: 4 publications 2024: 0 publications 2025: 1 publication
1970 2025

331 publications in total across all disciplines

View publications per year as a table
Clark Glymour: publications per year, 1970 to 2025
Year Publications
1970 2
1971 1
1972 4
1973 0
1974 0
1975 0
1976 2
1977 6
1978 3
1979 0
1980 5
1981 0
1982 7
1983 4
1984 0
1985 4
1986 5
1987 16
1988 9
1989 4
1990 12
1991 8
1992 9
1993 13
1994 12
1995 7
1996 5
1997 5
1998 13
1999 6
2000 5
2001 4
2002 11
2003 10
2004 13
2005 7
2006 8
2007 6
2008 6
2009 5
2010 12
2011 4
2012 4
2013 4
2014 7
2015 7
2016 9
2017 7
2018 8
2019 14
2020 10
2021 2
2022 1
2023 4
2024 0
2025 1
Total 331
Download as CSV

Clark Glymour 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 Clark Glymour sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 222–231 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 231 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437 231
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Clark Glymour 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 Clark Glymour sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 56–57 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458 56
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2019 - Fellow of the American Academy of Arts and Sciences
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1989 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Clark Glymour is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on the field of Computer Science, with a specialization in Artificial Intelligence. Additional areas of study include Management Science and Operations Research, Information Systems, Statistics and Probability, and Control and Systems Engineering.

The scientist's work covers several main topics, including:

  • Bayesian Modeling and Causal Inference
  • Machine Learning and Data Classification
  • Data Quality and Management
  • Domain Adaptation and Few-Shot Learning
  • Data Mining Algorithms and Applications
  • Statistical Methods and Inference
  • Multi-Criteria Decision Making

Clark Glymour has contributed multiple papers to notable publication venues. Frequent outlets for their research include:

  • arXiv (Cornell University)
  • Philosophy of Science
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Physics Today

Some of their recent papers are:

  • Domain Adaptation as a Problem of Inference on Graphical Models, 2020, arXiv (Cornell University)
  • Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Latent Hierarchical Causal Structure Discovery with Rank Constraints, 2022, arXiv (Cornell University)
  • Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs, 2020, arXiv (Cornell University)
  • Action-Sufficient State Representation Learning for Control with Structural Constraints, 2021, arXiv (Cornell University)

Frequent co-authors working with Clark Glymour include:

  • Biwei Huang
  • Kun Zhang
  • Ruichu Cai
  • Mingming Gong
  • Feng Xie

Clark Glymour has been recognized with several professional fellowships, including:

  • Fellow of the American Academy of Arts and Sciences, 2019
  • Fellow of the American Association for the Advancement of Science (AAAS), 2004
  • Fellow of John Simon Guggenheim Memorial Foundation, 1989

Best Publications

  • Causation, prediction, and search

    Peter Spirtes;Clark N. Glymour;Richard Scheines

  • Causation, Prediction, and Search, 2nd Edition

    Peter Spirtes;Clark Glymour;Richard Scheines

  • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.

    Alison Gopnik;Clark Glymour;David M. Sobel;Laura E. Schulz

  • An Algorithm for Fast Recovery of Sparse Causal Graphs

    Peter Spirtes;Clark N. Glymour

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  • Review of Causal Discovery Methods Based on Graphical Models.

    Clark Glymour;Kun Zhang;Peter Spirtes

  • Causal learning mechanisms in very young children: two-, three-, and four-year-olds infer causal relations from patterns of variation and covariation.

    Alison Gopnik;David M. Sobel;Laura E. Schulz;Clark Glymour

  • Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling

    Clark Glymour;Richard Scheines;Peter Spirtes;Kevin T. Kelly

  • Computation, Causation, and Discovery

    Clark N. Glymour;Gregory Floyd Cooper

  • Six problems for causal inference from fMRI

    Joseph D. Ramsey;Stephen José Hanson;Catherine Hanson;Yaroslav O. Halchenko

  • Statistical Themes and Lessons for Data Mining

    Clark Glymour;David Madigan;Daryl Pregibon;Padhraic Smyth

  • The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology

    Clark N. Glymour

  • A million variables and more: the Fast Greedy Equivalence Search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images

    Joseph D. Ramsey;Madelyn Glymour;Ruben Sanchez-Romero;Clark Glymour

  • Discovering Causal Structure.

    S. C. Pearce;C. Glymour;R. Scheines;P. Spirtes

  • The TETRAD project: Constraint based aids to causal model specification.

    Richard Scheines;Peter Spirtes;Clark Glymour;Christopher Meek

  • Causal inference

    Unknown

  • Preschool children learn about causal structure from conditional interventions.

    Laura E. Schulz;Alison Gopnik;Clark Glymour

  • An Evaluation of Machine-Learning Methods for Predicting Pneumonia Mortality

    Gregory F. Cooper;Constantin F. Aliferis;Richard Ambrosino;John M. Aronis

  • Domain adaptation with conditional transferable components

    Mingming Gong;Kun Zhang;Tongliang Liu;Dacheng Tao

  • Optical coherence tomography machine learning classifiers for glaucoma detection: a preliminary study

    Zvia Burgansky-Eliash;Gadi Wollstein;Tianjiao Chu;Joseph D. Ramsey

  • Learning the Structure of Linear Latent Variable Models

    Ricardo Silva;Richard Scheines;Clark Glymour;Peter Spirtes

Frequent Co-Authors

Peter Spirtes
Peter Spirtes Carnegie Mellon University
Richard Scheines
Richard Scheines Carnegie Mellon University
Kun Zhang
Kun Zhang Carnegie Mellon University
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
John Earman
John Earman University of Pittsburgh
Alison Gopnik
Alison Gopnik University of California, Berkeley
Thomas S. Richardson
Thomas S. Richardson University of Washington
Padhraic Smyth
Padhraic Smyth University of California, Irvine
David Madigan
David Madigan Northeastern 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 computer science in the USA opens the door to many related fields and flexible career trajectories, especially with the rise of online degrees. For students looking to fast-track their studies, pursuing one of the accelerated CS degree programs can be a strategic choice, offering a quicker route to the tech job market.

Computer Science skills are highly transferable, making it easier to branch into interdisciplinary fields. For example, students interested in technology’s role in environmental issues might wonder what can you do with an environmental science major. Roles in data analysis, environmental modeling, or sustainability tech are a few options.

Those interested in applying computational skills to engineering might consider degree paths such as an environmental engineering schools online or an online degree in mechanical engineering. These programs blend technical know-how with real-world applications, enhancing employability across industries.

Best Scientists Citing Clark Glymour

Trending Scientists

Recently Published Articles