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Mirella Lapata
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Computer Science
UK
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 95 464 451 29 29 325 36551

Mirella Lapata publications per year

The chart shows the history of publications by Mirella Lapata between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Mirella Lapata published across 36 years, from 1990 to 2025, averaging 10.9 papers a year. Output peaked at 33 publications in 2024. 60 of the 391 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1990 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2024. 1990: 1 publication 1991: 1 publication 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 3 publications 2000: 0 publications 2001: 1 publication 2002: 1 publication 2003: 10 publications 2004: 7 publications 2005: 12 publications 2006: 10 publications 2007: 11 publications 2008: 14 publications 2009: 9 publications 2010: 23 publications 2011: 10 publications 2012: 12 publications 2013: 17 publications 2014: 9 publications 2015: 8 publications 2016: 13 publications 2017: 17 publications 2018: 18 publications 2019: 26 publications 2020: 18 publications 2021: 32 publications 2022: 22 publications 2023: 25 publications 2024: 33 publications 2025: 27 publications
1990 2025

391 publications in total across all disciplines

View publications per year as a table
Mirella Lapata: publications per year, 1990 to 2025
Year Publications
1990 1
1991 1
1992 0
1993 0
1994 0
1995 0
1996 0
1997 1
1998 0
1999 3
2000 0
2001 1
2002 1
2003 10
2004 7
2005 12
2006 10
2007 11
2008 14
2009 9
2010 23
2011 10
2012 12
2013 17
2014 9
2015 8
2016 13
2017 17
2018 18
2019 26
2020 18
2021 32
2022 22
2023 25
2024 33
2025 27
Total 391
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Mirella Lapata publications per year - data summary

  • Mirella Lapata, a Computer Science scholar from University of Edinburgh, has 391 publications recorded across 36 years, from 1990 to 2025.
  • The oldest publication on record dates to 1990 and the most recent to 2025.
  • The most productive year is 2024, with 33 publications.
  • The least productive years with any output are 1990, 1991, 1997, 2001 and others, with 1 publication each.
  • 7 of the 36 years in the span carry no publications at all (1992, 1993, 1994, 1995 and others).
  • The rate of publication averages 10.9 papers per year over the whole span, or 13.5 per year counting only the 29 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 139 publications, 36% of the career total.
  • Split into equal eras - 1990-2001: 7 publications (0.6 per year); 2002-2013: 136 publications (11.3 per year); 2014-2025: 248 publications (20.7 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 322–331 publications, is where this scientist sits. 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
32–41 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.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206 325
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Mirella Lapata publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Mirella Lapata, a Computer Science scholar from University of Edinburgh, records 325 publications - the 78th percentile of the discipline.
  • 78% of ranked Computer Science scientists score the same or lower than Mirella Lapata, and about 22% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Mirella Lapata ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

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.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 94–95 D-Index, is where this scientist sits. 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
30–31 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.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46 95
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Mirella Lapata D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Mirella Lapata, a Computer Science scholar from University of Edinburgh, records 95 D-Index - the 97th percentile of the discipline.
  • 97% of ranked Computer Science scientists score the same or lower than Mirella Lapata, and about 3% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Mirella Lapata ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

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)
Shay B. Cohen
Shay B. Cohen University of Edinburgh
Siva Reddy
Siva Reddy McGill University
Trevor Cohn
Trevor Cohn University of Melbourne
Regina Barzilay
Regina Barzilay MIT
Sebastian Padó
Sebastian Padó University of Stuttgart
Shashi Narayan
Shashi Narayan Google (United States)
Ivan Titov
Ivan Titov University of Edinburgh
Rui Yan
Rui Yan Renmin University of China

External Links

Wikipedia of Mirella Lapata Personal website of Mirella Lapata Google Scholar page

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Publications: 39

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Publications: 36

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Publications: 36

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The University of Texas at Austin

Publications: 36

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Mohit Bansal

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Publications: 35

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University of Stuttgart

Publications: 34

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Preslav Nakov

Mohamed bin Zayed University of Artificial Intelligence

Publications: 34

Ting Liu

Ting Liu

Harbin Institute of Technology

Publications: 33

Alessandro Moschitti

Alessandro Moschitti

Amazon (United States)

Publications: 33

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Ludwig-Maximilians-Universität München

Publications: 33

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Anna Korhonen

University of Cambridge

Publications: 33

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