World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
46742
World Ranking
6964
National Ranking
3044

Richard K. Belew 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 K. Belew 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Richard K. Belew 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 K. Belew 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Richard K. Belew is affiliated with the University of California, San Diego in the United States. Their research primarily focuses on the fields of Arts and Humanities, with a specialization in Language and Linguistics. Belew's work centers on linguistics and terminology studies as key topics.

Among their contributions is a recent paper titled Attribution analysis of legal language as used by LLM, published in 2025 in arXiv (Cornell University). This publication reflects involvement in current research discussions within the domain of language analysis, especially in the context of legal language processing.

Publication venues where Richard K. Belew has contributed include:

  • arXiv (Cornell University)

Their work does not list frequent co-authors, indicating a focus on independent research or collaborations not recurring frequently in published materials.

The main fields of study represented in Belew's research are:

  • Arts and Humanities

Subfields within their research include:

  • Language and Linguistics

The main topics of their scholarly contributions, reflecting the thematic core of their investigations, are:

  • linguistics and terminology studies

Best Publications

  • AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility

    Garrett M. Morris;Ruth Huey;William Lindstrom;Michel F. Sanner

  • Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function

    Garrett M. Morris;David S. Goodsell;Robert S. Halliday;Ruth Huey

  • New methods for competitive coevolution

    Christopher D. Rosin;Richard K. Belew

  • Proceedings of the fourth international conference on Genetic algorithms

    Richard K. Belew;Lashon B. Booker

  • Dynamic Parameter Encoding for Genetic Algorithms

    Nicol N. Schraudolph;Richard K. Belew

  • Automatic combination of multiple ranked retrieval systems

    Brian T. Bartell;Garrison W. Cottrell;Richard K. Belew

  • Finding Out About: A Cognitive Perspective on Search Engine Technology and the WWW

    Richard K. Belew;C. J. Van Rijsbergen

  • Adaptive Individuals In Evolving Populations: Models And Algorithms

    Richard K. Belew;Melanie Mitchell

  • Adaptive information retrieval: using a connectionist representation to retrieve and learn about documents

    Richard K. Belew

  • No perfect two-state cellular automata for density classification exists.

    Mark Land;Richard K. Belew

  • Methods for Competitive Co-Evolution: Finding Opponents Worth Beating

    Christopher D. Rosin;Richard K. Belew

  • Adaptive Retrieval Agents: Internalizing Local Contextand Scaling up to the Web

    Filippo Menczer;Richard K. Belew

  • Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms.

    Richard K. Belew

  • The Immune Recruitment Mechanism: A Selective Evolutionary Strategy

    Hugues Bersini;Francisco Varela;Richard K. Belew;Lashon B. Booker

  • Coevolutionary search among adversaries

    Christopher Darrell Rosin;Richard K. Belew

  • Evolutionary algorithms with local search for combinatorial optimization

    Mark William Shannon Land;Richard K. Belew

  • Latent semantic indexing is an optimal special case of multidimensional scaling

    Brian T. Bartell;Garrison W. Cottrell;Richard K. Belew

  • Optimising an Arbitrary Function is Hard for the Genetic Algorithm.

    William E. Hart;Richard K. Belew

  • Systems and methods for creating and publishing relational data bases

    Sadanand Singh;Richard Belew;Brian Bartell;Marie Linvill

  • Adaptive information agents in distributed textual environments

    Filippo Menczer;Richard K. Belew

  • Neuroscience and connectionist theory

    Richard K. Belew

Frequent Co-Authors

Filippo Menczer
Filippo Menczer Indiana University
Arthur J. Olson
Arthur J. Olson Scripps Research Institute
David S. Goodsell
David S. Goodsell Rutgers, The State University of New Jersey
Garrison W. Cottrell
Garrison W. Cottrell University of California, San Diego
William E. Hart
William E. Hart Sandia National Laboratories
Melanie Mitchell
Melanie Mitchell Santa Fe Institute
Joshua Fierer
Joshua Fierer University of California, San Diego
Kate S. Carroll
Kate S. Carroll Scripps Research Institute
Francisco J. Varela
Francisco J. Varela Centre national de la recherche scientifique, CNRS
Donald G. Guiney
Donald G. Guiney University of California, San Diego

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 college majors related to Computer Science can open up diverse career opportunities in the tech industry and beyond. Whether you're considering software development, data analytics, or cybersecurity, understanding the broader landscape of tech majors can help you tailor your studies to meet your career goals.

For those seeking flexible and accelerated graduate options, pursuing the easiest online masters degree can be a smart way to upskill without major scheduling disruptions. These programs often focus on applied skills, allowing working professionals to advance their knowledge efficiently.

If you're interested in advanced research or academic careers, exploring cheap phd programs online can make earning a doctorate more accessible and affordable. For those aiming for leadership in education or administration, online edd programs offer a fast-track solution to high-level credentials.

Understanding these online degree pathways helps students customize their education journey, balancing cost, flexibility, and career outcomes for long-term success in Computer Science and related fields.

Best Scientists Citing Richard K. Belew

Recently Published Articles