World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10287
World Ranking
7109
National Ranking
226

Cécile Paris 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 Cécile Paris 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: 336 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

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

Cécile Paris 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 Cécile Paris 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: 45 D-Index — 51st percentile

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

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

Overview

Cécile Paris is affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia. Their research broadly spans the field of Computer Science, with a significant focus on Artificial Intelligence, Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition.

The scientist's work covers several key topics that include:

  • Complex Network Analysis Techniques
  • Misinformation and Its Impacts
  • Topic Modeling
  • Human-Automation Interaction and Safety
  • Big Data and Business Intelligence
  • Information and Cyber Security
  • Data-Driven Disease Surveillance

Their recent papers reflect involvement in a range of interdisciplinary research areas. Some notable publications include:

  • "Differences in Language and Style Between Two Social Media Communities," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "A Survey on Trust Prediction in Online Social Networks," 2020, IEEE Access
  • "Social distance and SARS memory: impact on the public awareness of 2019 novel coronavirus (COVID-19) outbreak," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "A survey of recent methods on deriving topics from Twitter: algorithm to evaluation," 2020, Knowledge and Information Systems
  • "Collaborative Intelligence: A Scoping Review Of Current Applications," 2024, Applied Artificial Intelligence

Frequent co-authors who have collaborated extensively with Cécile Paris include:

  • Surya Nepal
  • Ross Sparks
  • Andrew Reeson
  • Sarvnaz Karimi
  • Mohan Baruwal Chhetri

The scientist has published regularly in various venues, with multiple papers in:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Quality Engineering
  • ACM Transactions on Internet Technology
  • bioRxiv (Cold Spring Harbor Laboratory)

Best Publications

  • A survey of trust in social networks

    Wanita Sherchan;Surya Nepal;Cecile Paris

  • Planning text for advisory dialogues: capturing intentional and rhetorical information

    Johanna D. Moore;Cécile L. Paris

  • Detecting suicidality on Twitter

    Bridianne O'Dea;Stephen Wan;Philip J. Batterham;Alison L. Calear

  • User Models in Dialog Systems

    S. Carberry;J. G. Carbonell;D. N. Chin;R. Cohen

  • Deep Learning for Community Detection: Progress, Challenges and Opportunities

    Fanzhen Liu;Shan Xue;Shan Xue;Jia Wu;Chuan Zhou

  • Tailoring object descriptions to a user's level of expertise

    Cécile L. Paris

  • A Comprehensive Survey on Community Detection with Deep Learning.

    Xing Su;Shan Xue;Fanzhen Liu;Jia Wu

  • Explanations in knowledge systems: design for explainable expert systems

    W. Swartout;C. Paris;J. Moore

  • Intelligent systems for tourism

    S. Stabb;H. Werther;F. Ricci;A. Zipf

  • Using Dependency-Based Features to Take the 'Para-farce' out of Paraphrase

    Stephen Wan;Mark Dras;Robert Dale;Cecile Paris

  • PLANNING TEXT FOR ADVISORY DIALOGUES

    Johanna D. Moore;Cecile L. Paris

  • We Feel: Mapping Emotion on Twitter

    Mark E. Larsen;Tjeerd W. Boonstra;Philip J. Batterham;Bridianne ODea

  • Automatically summarising Web sites: is there a way around it?

    Einat Amitay;Cécile Paris

  • Talking about your health to strangers: understanding the use of online social networks by patients

    Nathalie Colineau;Cecile Paris

  • A support tool for writing multilingual instructions

    Cecile Paris;Keith Vander Linden;Markus Fischer;Anthony Hartley

  • Text and Data Mining Techniques in Adverse Drug Reaction Detection

    Sarvnaz Karimi;Chen Wang;Alejandro Metke-Jimenez;Raj Gaire

  • Using gamification in an online community

    Sanat Kumar Bista;Surya Nepal;Nathalie Colineau;Cecile Paris

  • Natural Language Generation in Artificial Intelligence and Computational Linguistics

    Cecile L. Paris;William R. Swartout;William C. Mann

  • Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis

    Matthew Andreotta;Robertus Nugroho;Mark J. Hurlstone;Fabio Boschetti

  • Cross-Target Stance Classification with Self-Attention Networks

    Chang Xu;Cécile Paris;Surya Nepal;Ross Sparks

  • User modelling in text generation

    Cecile Paris

  • Method and system for conveying video messages

    Nadine Ozkan;Cecile Paris;Maria Milosavljevic;Sue-Ken Yap

Frequent Co-Authors

Surya Nepal
Surya Nepal Commonwealth Scientific and Industrial Research Organisation
Robert Dale
Robert Dale Macquarie University
Jian Yang
Jian Yang University of Birmingham
Chang Xu
Chang Xu University of Sydney
Judy Kay
Judy Kay University of Sydney
Johanna D. Moore
Johanna D. Moore University of Edinburgh
Yolanda Gil
Yolanda Gil University of Southern California
Philip J. Batterham
Philip J. Batterham Australian National University
Yang Xiang
Yang Xiang Swinburne University of Technology
Helen Christensen
Helen Christensen University of New South Wales

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