World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
4545
World Ranking
13585
National Ranking
864

Diana McCarthy 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 Diana McCarthy 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Diana McCarthy 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 Diana McCarthy 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Diana McCarthy is affiliated with the University of Cambridge in the United Kingdom and has contributed extensively to the field of Computer Science, focusing on several subfields. The main areas of their research include Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Information Systems, and Signal Processing.

Their work addresses a range of topics within these fields, such as Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification, Neurobiology of Language and Bilingualism, Image Retrieval and Classification Techniques, and Data Mining Algorithms and Applications.

McCarthy's recent publications include multiple papers primarily focused on data set construction, semantic analysis, and evaluation of word meaning in context, often intersecting with natural language processing and machine learning methodologies. Notable recent papers are:

  • Semantic Data Set Construction from Human Clustering and Spatial Arrangement, 2021, Computational Linguistics
  • Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction, 2020, Apollo (University of Cambridge)
  • AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples, 2021, arXiv (Cornell University)
  • Measuring Context-Word Biases in Lexical Semantic Datasets, 2021, arXiv (Cornell University)

Frequent co-authors in McCarthy's work include Anna Korhonen, Ivan Vulić, Qianchu Liu, Olga Majewska, and Jasper J.F. van den Bosch. These collaborations reflect interdisciplinary connections across language technologies and machine learning research.

The venues where McCarthy publishes frequently include arXiv (Cornell University), Computational Linguistics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, and Apollo (University of Cambridge).

Best Publications

  • Finding Predominant Word Senses in Untagged Text

    Diana McCarthy;Rob Koeling;Julie Weeds;John Carroll

  • The English lexical substitution task

    Diana McCarthy;Roberto Navigli

  • Characterising measures of lexical distributional similarity

    Julie Weeds;David Weir;Diana McCarthy

  • SemEval-2007 Task 10: English Lexical Substitution Task

    Diana McCarthy;Roberto Navigli

  • Detecting a Continuum of Compositionality in Phrasal Verbs

    Diana McCarthy;Bill Keller;John Carroll

  • Disambiguating Nouns, Verbs, and Adjectives Using Automatically Acquired Selectional Preferences

    Diana McCarthy;John Carroll

  • An Empirical Study on Compositionality in Compound Nouns

    Siva Reddy;Diana McCarthy;Suresh Manandhar

  • Word Sense Induction for Novel Sense Detection

    Jey Han Lau;Paul Cook;Diana McCarthy;David Newman

  • Unsupervised acquisition of predominant word senses

    Diana McCarthy;Rob Koeling;Julie Weeds;John Carroll

  • Corpus Linguistics: Readings in a Widening Discipline

    Geoffrey Sampson;Diana McCarthy

  • Lexical Acquisition at the Syntax-Semantics Interface: Diathesis Alternations, Subcategorization Frames and Selectional Preferences

    Diana McCarthy

  • Using semantic preferences to identify verbal participation in role switching alternations

    Diana McCarthy

  • Domain-Specific Sense Distributions and Predominant Sense Acquisition

    Rob Koeling;Diana McCarthy;John Carroll

  • Investigations on Word Senses and Word Usages

    Katrin Erk;Diana McCarthy;Nicholas Gaylord

  • Measuring Word Meaning in Context

    Katrin E Erk;Diana McCarthy;Nicholas Gaylord

  • SemEval-2010 Task 2: Cross-Lingual Lexical Substitution

    Rada Mihalcea;Ravi Sinha;Diana McCarthy

  • Word Sense Disambiguation: An Overview

    Diana McCarthy

  • Editorial: Introduction to the special issue on multiword expressions: Having a crack at a hard nut

    Aline Villavicencio;Francis Bond;Anna Korhonen;Diana McCarthy

  • A lexicographic appraisal of an automatic approach for detecting new word-senses

    Paul Cook;Jey Han Lau;Michael Rundell;Diana McCarthy

  • 11th Conference of the European Chapter of the Association for Computational Linguistics

    Diana McCarthy;Shuly Wintner

  • SemEval-2010 Task 2: Cross-Lingual Lexical Substitution

    Ravi Sinha;Diana McCarthy;Rada Mihalcea

Frequent Co-Authors

John M. Carroll
John M. Carroll University of Sussex
Anna Korhonen
Anna Korhonen University of Cambridge
Ivan Vulić
Ivan Vulić University of Cambridge
Timothy Baldwin
Timothy Baldwin University of Melbourne
Siva Reddy
Siva Reddy McGill University
Jey Han Lau
Jey Han Lau University of Melbourne
Roberto Navigli
Roberto Navigli Sapienza University of Rome
Katrin Erk
Katrin Erk The University of Texas at Austin
Rada Mihalcea
Rada Mihalcea University of Michigan–Ann Arbor
Suresh Manandhar
Suresh Manandhar University of York

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