World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
27887
World Ranking
12333
National Ranking
4989

Richard Scheines 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 Richard Scheines 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: 112 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Richard Scheines 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 Richard Scheines 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Richard Scheines is affiliated with Carnegie Mellon University in the United States. Their academic profile includes work primarily associated with this institution.

Although no specific recent papers are listed, nor any book publications attributed to Scheines, they maintain an active role connected to their university.

No frequent co-authors or publication venues have been recorded in the available data. Similarly, detailed fields of study, subfields, and main research topics related to their work are not specified.

There are no awards documented or noted in relation to this researcher.

This profile reflects available information without extrapolation or assumptions beyond the documented facts.

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

  • Causation, Prediction, and Search, 2nd Edition

    Peter Spirtes;Clark Glymour;Richard Scheines

  • Causation, Prediction, and Search

    Unknown

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

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

  • Bayesian estimation and testing of structural equation models

    Richard Scheines;Herbert Hoijtink;Anne Boomsma

  • 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

  • Interventions and Causal Inference

    Frederick Eberhardt;Richard Scheines

  • Learning the Structure of Linear Latent Variable Models

    Ricardo Silva;Richard Scheines;Clark Glymour;Peter Spirtes

  • Uniform consistency in causal inference

    James M. Robins;Richard Scheines;Peter Spirtes;Larry Wasserman

  • Causality From Probability

    Peter Spirtes;Clark N. Glymour;Richard Scheines

  • Using path diagrams as a structural equation modeling tool

    Peter Spirtes;Thomas Richardson;Christopher Meek;Richard Scheines

  • A Response Time Model for Bottom-Out Hints as Worked Examples

    Benjamin Shih;Kenneth R. Koedinger;Richard Scheines

  • Constructing Bayesian Network Models of Gene Expression Networks from Microarray Data

    Pater Spirtes;Clark Glymour;Richard Scheines;Stuart Kauffman

  • When Are Multidimensional Data Unidimensional Enough for Structural Equation Modeling? An Evaluation of the DETECT Multidimensionality Index

    Wes E. Bonifay;Steven P. Reise;Richard Scheines;Rob R. Meijer

  • An introduction to Causal Inference

    Richard Scheines

  • On the number of experiments sufficient and in the worst case necessary to identify all causal relations among N variables

    Frederick Eberhardt;Clark Glymour;Richard Scheines

  • Simulation Studies of the Reliability of Computer-Aided Model Specification Using the TETRAD II, EQS, and LISREL Programs:

    Peter Spirtes;Richard Scheines;Clark N. Glymour

  • Causal Inference of Ambiguous Manipulations

    Peter Spirtes;Richard Scheines

  • Tetrad II: User's Manual

    R. Scheines;P. Spirtes;C. Glymour;C. Meek

  • A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays

    Tianjiao Chu;Clark Glymour;Richard Scheines;Peter Spirtes

  • TETRAD II : tools for causal modeling

    Richard Scheines;Peter Spirtes;Clark N. Glymour;C. Meek

  • Replacing Lecture with Web-Based Course Materials.

    Richard Scheines;Gaea Leinhardt;Joel Smith;Kwangsu Cho

Frequent Co-Authors

Clark Glymour
Clark Glymour Carnegie Mellon University
Peter Spirtes
Peter Spirtes Carnegie Mellon University
Vincent Aleven
Vincent Aleven Carnegie Mellon University
Larry Wasserman
Larry Wasserman Carnegie Mellon University
Thomas S. Richardson
Thomas S. Richardson University of Washington
Kenneth R. Koedinger
Kenneth R. Koedinger Carnegie Mellon University
Steven P. Reise
Steven P. Reise University of California, Los Angeles
Gregory F. Cooper
Gregory F. Cooper University of Pittsburgh
Gaea Leinhardt
Gaea Leinhardt University of Pittsburgh
Patrik O. Hoyer
Patrik O. Hoyer University of Helsinki

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 online education options can open doors for a variety of career paths—even for those who may not have a perfect academic record. If you're concerned about your academic background, there are many college with low gpa options offering online programs to help you get started.

For students eager to fast-track their education, several universities provide fastest computer science degree programs online. These are designed to help you earn your degree quickly and enter the workforce sooner.

Those interested in interdisciplinary science or sustainability may consider environmental-related fields. There are a growing number of accredited environmental engineering schools online that offer affordable programs tailored to modern industry needs.

Graduates of computer science, environmental science, and engineering programs alike can pursue lucrative and purposeful roles. If you’re curious about outcomes, check out some high-paying jobs with environmental science degree to see what your future could hold.

Best Scientists Citing Richard Scheines

Trending Scientists

Recently Published Articles