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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
95
Citations
36551
World Ranking
464
National Ranking
29

Mirella Lapata 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 Mirella Lapata 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: 325 publications — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Mirella Lapata 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 Mirella Lapata 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: 95 D-Index — 97th percentile

97% 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

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2020 - Member of Academia Europaea
  • 2019 - Fellow of the Royal Society of Edinburgh

Overview

Mirella Lapata is affiliated with the University of Edinburgh in the United Kingdom and has a substantial body of research in computer science with a focus on artificial intelligence and natural language processing.

Their research spans several specialized fields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Sociology and Political Science
  • Information Systems

The main research topics covered in their work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Speech and Dialogue Systems
  • Biomedical Text Mining and Ontologies

Mirella Lapata's publication record shows frequent contributions to notable venues such as:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence

The scientist has worked often with several coauthors, including:

  • Fantine Huot
  • Joshua Maynez
  • Shashi Narayan
  • Dipanjan Das
  • Reinald Kim Amplayo

Recent publications include:

  • "Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback," 2023, arXiv (Cornell University)
  • "Multi-Document Summarization with Determinantal Point Process Attention," 2021, Journal of Artificial Intelligence Research
  • "Risk of bias assessment in preclinical literature using natural language processing," 2021, Research Synthesis Methods
  • "Zero-Shot Cross-lingual Semantic Parsing," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Learning Opinion Summarizers by Selecting Informative Reviews," 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Recognition includes being named a Fellow of the Royal Society of Edinburgh in 2019 and a Member of Academia Europaea in 2020.

Best Publications

  • Text Summarization with Pretrained Encoders

    Yang Liu;Mirella Lapata

  • Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing

    Hagen Fürstenau;Mirella Lapata

  • Long Short-Term Memory-Networks for Machine Reading

    Jianpeng Cheng;Li Dong;Mirella Lapata

  • Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

    Shashi Narayan;Shay B. Cohen;Mirella Lapata

  • Composition in distributional models of semantics.

    Jeff Mitchell;Mirella Lapata

  • Modeling local coherence: An entity-based approach

    Regina Barzilay;Regina Barzilay;Mirella Lapata

  • Dependency-Based Construction of Semantic Space Models

    Sebastian Padó;Mirella Lapata

  • Neural Summarization by Extracting Sentences and Words

    Jianpeng Cheng;Mirella Lapata

  • Vector-based Models of Semantic Composition

    Jeff Mitchell;Mirella Lapata

  • Language to Logical Form with Neural Attention

    Li Dong;Mirella Lapata

  • Ranking Sentences for Extractive Summarization with Reinforcement Learning

    Shashi Narayan;Shay B. Cohen;Mirella Lapata

  • Using Semantic Roles to Improve Question Answering

    Dan Shen;Mirella Lapata

  • Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

    Oier Lopez de Lacalle;Mirella Lapata

  • Using the web to obtain frequencies for unseen bigrams

    Frank Keller;Mirella Lapata

  • An Experimental Study of Graph Connectivity for Unsupervised Word Sense Disambiguation

    R. Navigli;M. Lapata

  • Coarse-to-Fine Decoding for Neural Semantic Parsing

    Li Dong;Mirella Lapata

  • Sentence Simplification with Deep Reinforcement Learning

    Xingxing Zhang;Mirella Lapata

  • Global inference for sentence compression an integer linear programming approach

    James Clarke;Mirella Lapata

  • Chinese Poetry Generation with Recurrent Neural Networks

    Xingxing Zhang;Mirella Lapata

  • Probabilistic Text Structuring: Experiments with Sentence Ordering

    Mirella Lapata

  • Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing

    Kristian Woodsend;Mirella Lapata

  • A Comparison of Vector-based Representations for Semantic Composition

    William Blacoe;Mirella Lapata

  • Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

    Sebastian Padó;Mirella Lapata

  • Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning

    Carina Silberer;Mirella Lapata

  • Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing

    Mirella Lapata;Hwee Tou Ng

Frequent Co-Authors

Frank Keller
Frank Keller University of Edinburgh
Li Dong
Li Dong Microsoft (United States)
Trevor Cohn
Trevor Cohn University of Melbourne
Sebastian Padó
Sebastian Padó University of Stuttgart
Rui Yan
Rui Yan Renmin University of China
Yansong Feng
Yansong Feng Peking University
Ivan Titov
Ivan Titov University of Edinburgh
Alex Lascarides
Alex Lascarides University of Edinburgh
Christoph Scheepers
Christoph Scheepers University of Glasgow

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