World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5221
World Ranking
11706
National Ranking
738

Kayvan Kousha 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 Kayvan Kousha 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 99 publications — 8th percentile

8% of scientists in this discipline score the same or lower.

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

Kayvan Kousha 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 Kayvan Kousha sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Kayvan Kousha is affiliated with the University of Wolverhampton in the United Kingdom. Their research primarily focuses on decision sciences and covers several interconnected subfields including statistics, probability and uncertainty; information systems and management; health informatics; information systems; and sociology and political science.

Their scholarly contributions emphasize key topics such as scientometrics and bibliometrics research, meta-analysis and systematic reviews, academic publishing and open access, artificial intelligence in healthcare and education, research data management practices, scientific computing and data management, and health and medical research impacts.

Kousha has published extensively in various venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Scientometrics
  • Quantitative Science Studies
  • Journal of the Association for Information Science and Technology
  • Online Information Review

Their work includes several recent papers such as:

  • COVID-19 publications: Database coverage, citations, readers, tweets, news, Facebook walls, Reddit posts (2020, Quantitative Science Studies)
  • Artificial intelligence to support publishing and peer review: A summary and review (2023, Learned Publishing)
  • Factors associating with or predicting more cited or higher quality journal articles: An Annual Review of Information Science and Technology (ARIST) paper (2023, Journal of the Association for Information Science and Technology)

Kayvan Kousha has collaborated with several frequent co-authors, including:

  • Mike Thelwall
  • Emma Stuart
  • Mahshid Abdoli
  • Meiko Makita
  • Jonathan M. Levitt

The research topics Kousha addresses span domains such as academic publishing, health informatics, and data management, reflecting a multidisciplinary approach within the broader decision sciences field. Their investigations into the impact and quality indicators of research outputs contribute to understanding of bibliometrics and scientometric patterns.

Best Publications

  • Google Scholar citations and Google Web-URL citations: A multi-discipline exploratory analysis

    Kayvan Kousha;Mike Thelwall

  • Web of Science and Scopus language coverage

    Miguel-Angel Vera-Baceta;Michael Thelwall;Kayvan Kousha

  • ResearchGate: Disseminating, communicating, and measuring Scholarship?

    Mike Thelwall;Kayvan Kousha

  • Academia.edu: Social network or Academic Network?

    Mike Thelwall;Kayvan Kousha

  • Sources of Google Scholar citations outside the Science Citation Index: A comparison between four science disciplines

    Kayvan Kousha;Kayvan Kousha;Mike Thelwall

  • The role of online videos in research communication: A content analysis of Y ou T ube videos cited in academic publications

    Kayvan Kousha;Mike Thelwall;Mahshid Abdoli

  • Assessing the citation impact of books: The role of Google Books, Google Scholar, and Scopus

    Kayvan Kousha;Mike Thelwall;Somayeh Rezaie

  • Do highly cited researchers successfully use the social web

    Amalia Mas-Bleda;Mike Thelwall;Kayvan Kousha;Isidro F. Aguillo

  • ResearchGate articles: Age, discipline, audience size, and impact

    Mike Thelwall;Kayvan Kousha

  • Can Mendeley bookmarks reflect readership? A survey of user motivations

    Ehsan Mohammadi;Mike Thelwall;Kayvan Kousha

  • Google book search: Citation analysis for social science and the humanities

    Kayvan Kousha;Mike Thelwall

  • Are wikipedia citations important evidence of the impact of scholarly articles and books

    Kayvan Kousha;Mike Thelwall

  • Covid-19 publications: Database coverage, citations, readers, tweets, news, facebook walls, reddit posts

    Kayvan Kousha;Michael Thelwall

  • Web indicators for research evaluation. Part 2: Social media metrics

    Mike Thelwall;Kayvan Kousha

  • Goodreads: A social network site for book readers

    Mike Thelwall;Kayvan Kousha

  • ResearchGate versus Google Scholar: Which finds more early citations?

    Mike Thelwall;Kayvan Kousha

  • Assessing the impact of disciplinary research on teaching: An automatic analysis of online syllabuses

    Kayvan Kousha;Mike Thelwall

  • Web indicators for research evaluation. Part 1: Citations and links to academic articles from the Web

    Mike Thelwall;Kayvan Kousha

  • Using the Web for research evaluation: The Integrated Online Impact indicator

    Kayvan Kousha;Mike Thelwall;Somayeh Rezaie

  • Motivations for URL citations to open access library and information science articles

    Kayvan Kousha;Mike Thelwall

  • Can Amazon.com reviews help to assess the wider impacts of books

    Kayvan Kousha;Mike Thelwall

  • Covid-19 vaccine hesitancy on English-language Twitter

    Mike Thelwall;Kayvan Kousha;Saheeda Thelwall

  • The citation impact of Open Access agricultural research: A comparison between OA and non‐OA publications

    Kayvan Kousha;Mahshid Abdoli

Frequent Co-Authors

Mike Thelwall
Mike Thelwall University of Sheffield
Marcus R. Munafò
Marcus R. Munafò University of Bath
Ludo Waltman
Ludo Waltman Leiden University
Paul Wouters
Paul Wouters Leiden University

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