World's Best Scientists 2026 revealed!
Charles L. A. Clarke

Charles L. A. Clarke

D-Index & Metrics

Computer Science

D-Index
55
Citations
12193
World Ranking
4313
National Ranking
170

Charles L. A. Clarke 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 Charles L. A. Clarke 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: 253 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Charles L. A. Clarke 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 Charles L. A. Clarke 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: 55 D-Index — 71st percentile

71% 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

  • 2015 - ACM Distinguished Member

Overview

Charles L. A. Clarke is affiliated with the University of Waterloo in Canada. Their research primarily falls within the field of Computer Science, with a focus on subfields such as Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Transportation, and Computer Science Applications.

The main topics addressed in their work include:

  • Topic Modeling
  • Information Retrieval and Search Behavior
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Semantic Web and Ontologies
  • Speech and dialogue systems
  • Expert finding and Q&A systems

Charles L. A. Clarke has contributed to numerous publications, with a significant number appearing in venues such as arXiv (Cornell University), ACM SIGIR Forum, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Communications of the ACM, and Information Retrieval.

Notable recent papers include:

  • "Shallow pooling for sparse labels," 2022, Information Retrieval
  • "Who Determines What Is Relevant? Humans or AI? Why Not Both?", 2024, Communications of the ACM
  • "Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education," 2023, ACM SIGIR Forum
  • "Assessing Top- Preferences," 2021, ACM Transactions on Information Systems
  • "A Comparison of Methods for Evaluating Generative IR," 2024, arXiv (Cornell University)

Frequent co-authors include:

  • Negar Arabzadeh
  • Guglielmo Faggioli
  • Noriko Kando
  • Mohammad Aliannejadi
  • Laura Dietz

Charles L. A. Clarke was recognized as an ACM Distinguished Member in 2015.

Best Publications

  • Novelty and diversity in information retrieval evaluation

    Charles L.A. Clarke;Maheedhar Kolla;Gordon V. Cormack;Olga Vechtomova

  • Information Retrieval: Implementing and Evaluating Search Engines

    Stefan Büttcher;Charles Clarke;Gordon V. Cormack

  • Reciprocal rank fusion outperforms condorcet and individual rank learning methods

    Gordon V. Cormack;Charles L A Clarke;Stefan Buettcher

  • Overview of the TREC 2009 Web Track

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff

  • Efficient and effective spam filtering and re-ranking for large web datasets

    Gordon V. Cormack;Mark D. Smucker;Charles L. Clarke

  • Exploiting redundancy in question answering

    Charles L. A. Clarke;Gordon V. Cormack;Thomas R. Lynam

  • Efficient construction of large test collections

    Gordon V. Cormack;Christopher R. Palmer;Charles L. A. Clarke

  • Relevance ranking for one to three term queries

    Charles L. A. Clarke;Gordon V. Cormack;Elizabeth A. Tudhope

  • Frequency estimates for statistical word similarity measures

    Egidio Terra;C. L. A. Clarke

  • An Algebra for Structured Text Search and a Framework for its Implementation

    Charles L. A. Clarke;Gordon V. Cormack;Forbes J. Burkowski

  • Time-based calibration of effectiveness measures

    Mark D. Smucker;Charles L.A. Clarke

  • Term proximity scoring for ad-hoc retrieval on very large text collections

    Stefan Büttcher;Charles L. A. Clarke;Brad Lushman

  • Overview of the TREC 2012 Web Track

    Charles L. A. Clarke;Nick Craswell;Ellen M. Voorhees

  • Overview of the TREC 2004 Terabyte Track.

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff

  • The influence of caption features on clickthrough patterns in web search

    Charles L. A. Clarke;Eugene Agichtein;Susan Dumais;Ryen W. White

  • Question Answering by Passage Selection (MultiText Experiments for TREC-9).

    Charles L. A. Clarke;Gordon V. Cormack;D. I. E. Kisman;Thomas R. Lynam

  • An Effectiveness Measure for Ambiguous and Underspecified Queries

    Charles L. Clarke;Maheedhar Kolla;Olga Vechtomova

  • Archetypal source code searches: a survey of software developers and maintainers

    S.E. Sim;C.L.A. Clarke;R.C. Holt

  • Perspectives on Large Language Models for Relevance Judgment

    Unknown

  • A comparative analysis of cascade measures for novelty and diversity

    Charles L.A. Clarke;Nick Craswell;Ian Soboroff;Azin Ashkan

  • Overview of the TREC 2010 Web Track.

    Charles L. A. Clarke;Nick Craswell;Ian Soboroff;Gordon V. Cormack

  • TREC 2013 Web Track Overview

    Kevyn Collins-Thompson;Paul Bennett;Fernando Diaz;Charles L Clarke

Frequent Co-Authors

Gordon V. Cormack
Gordon V. Cormack University of Waterloo
Jaap Kamps
Jaap Kamps University of Amsterdam
Jimmy Lin
Jimmy Lin University of Waterloo
Ian Soboroff
Ian Soboroff National Institute of Standards and Technology
Nick Craswell
Nick Craswell Microsoft (United States)
Eugene Agichtein
Eugene Agichtein Emory University
Ellen M. Voorhees
Ellen M. Voorhees National Institute of Standards and Technology
Vanessa Murdock
Vanessa Murdock Amazon (United States)
Craig Macdonald
Craig Macdonald University of Glasgow
Jamie Callan
Jamie Callan Carnegie Mellon 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 a career in Computer Science opens doors to a variety of online study options beyond the traditional bachelor’s pathway. Flexible online programs make it possible to balance your education with work or family commitments, often at a more affordable cost.

If you’re interested in pursuing high-level research or university teaching roles, consider the most affordable online doctoral programs in technology or related fields. Those seeking leadership or administrative positions in education may benefit from enrolling in the cheapest ed.d online program that fits their schedule and budget.

Looking for a quicker way to break into tech? A 6 month degree course in computing or IT can jumpstart entry-level opportunities. Alternatively, for those interested in tech-driven business roles, an online degree in business offers a practical pathway to management, analytics, or entrepreneurship in the digital marketplace.

Whichever route you choose, online degrees provide versatile and accessible ways to advance your computer science career.

Best Scientists Citing Charles L. A. Clarke

Trending Scientists

Recently Published Articles