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D-Index & Metrics

Computer Science

D-Index
52
Citations
10190
World Ranking
5113
National Ranking
306

Nigel Collier 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 Nigel Collier 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: 212 publications — 51st percentile

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

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

Nigel Collier 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 Nigel Collier 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: 52 D-Index — 65th percentile

65% 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

  • 2013 - ACM Senior Member

Overview

Nigel Collier is affiliated with the University of Cambridge in the United Kingdom. Their research output is concentrated largely within the field of Computer Science, with a primary focus on Artificial Intelligence. Other notable subfields in which they have contributed include Computer Vision and Pattern Recognition, Molecular Biology, Experimental and Cognitive Psychology, and Epidemiology.

The main research topics covered by Nigel Collier involve Topic Modeling, Natural Language Processing Techniques, and Multimodal Machine Learning Applications. Their work also extends to Biomedical Text Mining and Ontologies, Speech and Dialogue Systems, Semantic Web and Ontologies, and Advanced Graph Neural Networks.

Notable recent papers authored or co-authored by Nigel Collier include the following:

  • Visual Pivoting for (Unsupervised) Entity Alignment, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • On the Effectiveness of Parameter-Efficient Fine-Tuning, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Visually Grounded Reasoning across Languages and Cultures, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • A Contrastive Framework for Neural Text Generation, 2022, arXiv (Cornell University)

The frequent co-authors collaborating with Nigel Collier include Fangyu Liu, Yixuan Su, Ehsan Shareghi, Zaiqiao Meng, and Ivan Vulić.

Key venues where Nigel Collier has published extensively include:

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

Nigel Collier has been recognized as an ACM Senior Member since 2013.

Best Publications

  • Sentiment Analysis using Support Vector Machines with Diverse Information Sources

    Tony Mullen;Nigel Collier

  • Introduction to the bio-entity recognition task at JNLPBA

    Jin-Dong Kim;Tomoko Ohta;Yoshimasa Tsuruoka;Yuka Tateisi

  • Change-point detection in time-series data by relative density-ratio estimation

    Song Liu;Makoto Yamada;Nigel Collier;Masashi Sugiyama

  • Extracting the names of genes and gene products with a hidden Markov model

    Nigel Collier;Chikashi Nobata;Jun-ichi Tsujii

  • BioCaster: detecting public health rumors with a Web-based text mining system

    Nigel Collier;Son Doan;Ai Kawazoe;Reiko Matsuda Goodwin;Reiko Matsuda Goodwin

  • Self-alignment pretraining for biomedical entity representations

    Fangyu Liu;Ehsan Shareghi;Zaiqiao Meng;Marco Basaldella

  • On-line Trend Analysis with Topic Models: #twitter Trends Detection Topic Model Online

    Jey Han Lau;Nigel Collier;Timothy Baldwin

  • Global mapping of infectious disease

    Simon I. Hay;Katherine E. Battle;David M. Pigott;David L. Smith;David L. Smith

  • Use of support vector machines in extended named entity recognition

    Koichi Takeuchi;Nigel Collier

  • An Analysis of Twitter Messages in the 2011 Tohoku Earthquake

    Son Doan;Bao-Khanh Ho Vo;Nigel Collier

  • Bio-medical entity extraction using support vector machines

    Koichi Takeuchi;Nigel Collier

  • OMG U got flu? Analysis of shared health messages for bio-surveillance

    Nigel Collier;Nguyen Truong Son;Ngoc Mai Nguyen

  • SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity

    Jose Camacho-Collados;Mohammad Taher Pilehvar;Nigel Collier;Roberto Navigli

  • Automatic Term Identification and Classification in Biology Texts.

    Chikashi Nobata;Nigel Collier;Jun'ichi Tsujii.

  • A framework for enhancing spatial and temporal granularity in report-based health surveillance systems

    Hutchatai Chanlekha;Ai Kawazoe;Nigel Collier

  • Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

    Nut Limsopatham;Nigel Collier

  • Zone analysis in biology articles as a basis for information extraction.

    Yoko Mizuta;Anna Korhonen;Tony Mullen;Nigel Collier

  • PASBio: predicate-argument structures for event extraction in molecular biology.

    Tuangthong Wattarujeekrit;Parantu K Shah;Nigel Collier

  • What’s missing in geographical parsing?

    Milan Gritta;Mohammad Taher Pilehvar;Nut Limsopatham;Nigel Collier

  • An Experiment in Integrating Sentiment Features for Tech Stock Prediction in Twitter

    Tien Thanh Vu;Shu Chang;Quang Thuy Ha;Nigel Collier

  • Bidirectional LSTM for Named Entity Recognition in Twitter Messages

    Nut Limsopatham;Nigel Collier

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Dietrich Rebholz-Schuhmann
Dietrich Rebholz-Schuhmann University of Cologne
Mika Shigematsu
Mika Shigematsu National Institutes of Health
John S. Brownstein
John S. Brownstein Boston Children's Hospital
Fangyu Liu
Fangyu Liu University of Waterloo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Anna Korhonen
Anna Korhonen University of Cambridge
Lawrence C. Madoff
Lawrence C. Madoff Massachusetts Department of Public Health
Damian Smedley
Damian Smedley Queen Mary University of London
Peter N. Robinson
Peter N. Robinson The Jackson Laboratory

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