World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
16960
World Ranking
2334
National Ranking
1166

Christopher A. Meek 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 Christopher A. Meek 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: 177 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Christopher A. Meek 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 Christopher A. Meek 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Christopher A. Meek is affiliated with Microsoft in the United States and works primarily in the field of Computer Science. Their research spans multiple subfields including Artificial Intelligence, Building and Construction, Environmental Engineering, General Health Professions, and Philosophy.

The scientist's work covers topics such as Building Energy and Comfort Optimization, Environmental Impact and Sustainability, Topic Modeling, Sustainable Building Design and Assessment, Hermeneutics and Narrative Identity, Aging, Elder Care, and Social Issues, as well as Health, Medicine and Society.

Christopher A. Meek has authored several recent publications, including:

  • Graphical Models: Selecting causal and statistical models (2023, OPAL (Open@LaTrobe) (La Trobe University))
  • Synchromesh: Reliable code generation from pre-trained language models (2022, arXiv (Cornell University))
  • On the tradeoffs between embodied and operational carbon in building envelope design: The impact of local climates and energy grids (2022, Energy and Buildings)
  • Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions (2022, arXiv (Cornell University))
  • Spider Realistic Dataset In Structure-Grounded Pretraining for Text-to-SQL (2021, Zenodo (CERN European Organization for Nuclear Research))

The frequent coauthors collaborating with Christopher A. Meek include:

  • Tomás Méndez Echenagucia
  • Teresa Moroseos
  • Oleksandr Polozov
  • C. E. Meek
  • Gabriel Poesia

Their publications commonly appear in the following venues:

  • Energy and Buildings
  • arXiv (Cornell University)
  • OPAL (Open@LaTrobe) (La Trobe University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

Best Publications

  • WikiQA: A Challenge Dataset for Open-Domain Question Answering

    Yi Yang;Wen-tau Yih;Christopher Meek

  • Large-Sample Learning of Bayesian Networks is NP-Hard

    David Maxwell Chickering;David Heckerman;Christopher Meek

  • Systems and methods for allocating placement of content items on a rendered page based upon bid value

    David Chickering;Christopher Meek;David Heckerman;Brian Burdick

  • A Bayesian approach to learning Bayesian networks with local structure

    David Maxwell Chickering;David Heckerman;Christopher Meek

  • Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications

    David E. Heckerman;Paul S. Bradley;David M. Chickering;Christopher A. Meek

  • Semantic Parsing for Single-Relation Question Answering

    Wen-tau Yih;Xiaodong He;Christopher Meek

  • Visualization of navigation patterns on a Web site using model-based clustering

    Igor Cadez;David Heckerman;Christopher Meek;Padhraic Smyth

  • Similarity measures for short segments of text

    Donald Metzler;Susan Dumais;Christopher Meek

  • The Value of Semantic Parse Labeling for Knowledge Base Question Answering

    Wen-tau Yih;Matthew Richardson;Christopher Meek;Ming-Wei Chang

  • Identifying similarities, periodicities and bursts for online search queries

    Michail Vlachos;Christopher Meek;Zografoula Vagena;Dimitrios Gunopulos

  • Model-Based Clustering and Visualization of Navigation Patterns on a Web Site

    Igor Cadez;David Heckerman;Christopher Meek;Padhraic Smyth

  • A Bayesian Approach to Causal Discovery

    David Heckerman;Christopher Meek;Gregory Cooper

  • Content-targeted advertising for interactive computer-based applications

    Joshua Goodman;Christopher Meek;Carl Kadie

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

    Richard Scheines;Peter Spirtes;Clark Glymour;Christopher Meek

  • Dynamic controlling of attribute-specific list for improved object organization

    Christopher A. Meek

  • On the toric algebra of graphical models

    Dan Geiger;Christopher Meek;Bernd Sturmfels

  • Desktop search from mobile device

    Raymond E. Ozzie;Eric J. Horvitz;William H. Gates;Joshua T. Goodman

  • Typed Tensor Decomposition of Knowledge Bases for Relation Extraction

    Kai-Wei Chang;Wen-tau Yih;Bishan Yang;Christopher Meek

  • Systems, methods, computer-readable media and devices for client-based web crawling

    Meek Christopher A;Brill Eric D

  • Visual and multi-dimensional search

    Stephen Lawler;Eric J. Horvitz;Joshua T. Goodman;Anoop Gupta

  • Large-sample learning of bayesian networks is NP-hard

    David Maxwell Chickering;Christopher Meek;David Heckerman

Frequent Co-Authors

David Maxwell Chickering
David Maxwell Chickering Microsoft (United States)
David Heckerman
David Heckerman Microsoft (United States)
Gary W. Flake
Gary W. Flake Independent Scientist / Consultant, US
Dan Geiger
Dan Geiger Technion – Israel Institute of Technology
Eric Horvitz
Eric Horvitz Microsoft (United States)
Joshua T. Goodman
Joshua T. Goodman Microsoft (United States)
Kamal Jain
Kamal Jain Microsoft (United States)
Robert L. Rounthwaite
Robert L. Rounthwaite Microsoft (United States)
Ying Li
Ying Li Microsoft (United States)

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