World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
7692
World Ranking
5711
National Ranking
217

Giuseppe Carenini 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 Giuseppe Carenini 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: 219 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Giuseppe Carenini 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 Giuseppe Carenini 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: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Overview

Giuseppe Carenini is affiliated with the University of British Columbia in Canada. Their research focuses on various aspects of computer science, with particular emphasis on artificial intelligence and natural language processing techniques. Within these fields, their work extends into subfields such as computer vision and pattern recognition, sociology and political science, information systems, and epidemiology.

The main topics of their research include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Advanced Text Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Multimodal Machine Learning Applications
  • Speech and dialogue systems
  • Computational and Text Analysis Methods

Giuseppe Carenini has published extensively, with a notable number of papers appearing in venues such as:

  • arXiv (Cornell University)
  • Journal of Medical Internet Research
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the ACM on Human-Computer Interaction
  • Alzheimer s & Dementia

Some of their recent papers include:

  • Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis, 2021, Journal of Medical Internet Research
  • PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Tracking Public Attitudes Toward COVID-19 Vaccination on Tweets in Canada: Using Aspect-Based Sentiment Analysis, 2022, Journal of Medical Internet Research
  • Classification of Alzheimer's Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data, 2021, Frontiers in Human Neuroscience
  • Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis, 2022, JMIR Aging

Frequent collaborators in their research include:

  • Hyeju Jang
  • Patrick Huber
  • Linzi Xing
  • Thalia S. Field
  • Gabriel Murray

Giuseppe Carenini's contributions are positioned at the intersection of computational methods and applied analysis in health and social media domains, leveraging approaches such as multi-task machine learning, sentiment analysis, and multimodal data integration.

Best Publications

  • MULTI‐DOCUMENT SUMMARIZATION OF EVALUATIVE TEXT

    Giuseppe Carenini;Jackie Chi Kit Cheung;Adam Pauls

  • Extracting knowledge from evaluative text

    Giuseppe Carenini;Raymond T. Ng;Ed Zwart

  • Multi-Document Summarization of Evaluative Text.

    Giuseppe Carenini;Raymond T. Ng;Adam Pauls

  • Abstractive Summarization of Product Reviews Using Discourse Structure

    Shima Gerani;Yashar Mehdad;Giuseppe Carenini;Raymond T. Ng

  • Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis

    Shafiq Joty;Giuseppe Carenini;Raymond Ng;Yashar Mehdad

  • PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

    Unknown

  • User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities

    Ben Steichen;Giuseppe Carenini;Cristina Conati

  • Individual user characteristics and information visualization: connecting the dots through eye tracking

    Dereck Toker;Cristina Conati;Ben Steichen;Giuseppe Carenini

  • Codra: A novel discriminative framework for rhetorical analysis

    Shafiq Joty;Giuseppe Carenini;Raymond T. Ng

  • Generating and evaluating evaluative arguments

    Giuseppe Carenini;Johanna D. Moore

  • An intelligent interactive system for delivering individualized information to patients

    Bruce G. Buchanan;Johanna D. Moore;Diana E. Forsythe;Giuseppe Carenini

  • Describing complex charts in natural language: a caption generation system

    Vibhu O. Mittal;Giuseppe Carenini;Johanna D. Moore;Steven Roth

  • Extractive summarization of long documents by combining global and local context

    Wen Xiao;Giuseppe Carenini

  • Summarizing email conversations with clue words

    Giuseppe Carenini;Raymond T. Ng;Xiaodong Zhou

  • Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis.

    Hyeju Jang;Emily Rempel;David Roth;Giuseppe Carenini

  • Towards more conversational and collaborative recommender systems

    Giuseppe Carenini;Jocelyin Smith;David Poole

  • Towards adaptive information visualization: on the influence of user characteristics

    Dereck Toker;Cristina Conati;Giuseppe Carenini;Mona Haraty

  • Summarizing Spoken and Written Conversations

    Gabriel Murray;Giuseppe Carenini

  • Extractive vs. NLG-based abstractive summarization of evaluative text: the effect of corpus controversiality

    Giuseppe Carenini;Jackie Chi Kit Cheung

  • Adaptive content presentation for the web

    Andrea Bunt;Giuseppe Carenini;Cristina Conati

  • A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships

    Tatsuro Oya;Yashar Mehdad;Giuseppe Carenini;Raymond Ng

Frequent Co-Authors

Raymond T. Ng
Raymond T. Ng University of British Columbia
Johanna D. Moore
Johanna D. Moore University of Edinburgh
Cristina Conati
Cristina Conati University of British Columbia
Shafiq Joty
Shafiq Joty Salesforce (United States)
Steven F. Roth
Steven F. Roth Carnegie Mellon University
David Poole
David Poole University of British Columbia
Huamin Qu
Huamin Qu Hong Kong University of Science and Technology
Per Ola Kristensson
Per Ola Kristensson University of Cambridge
Shixia Liu
Shixia Liu Tsinghua University
Alan K. Mackworth
Alan K. Mackworth University of British Columbia

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