World's Best Scientists 2026 revealed!
Christophe Giraud-Carrier

Christophe Giraud-Carrier

D-Index & Metrics

Computer Science

D-Index
32
Citations
7119
World Ranking
12921
National Ranking
5218

Christophe Giraud-Carrier 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 Christophe Giraud-Carrier 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Christophe Giraud-Carrier 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 Christophe Giraud-Carrier 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Christophe Giraud-Carrier is affiliated with Brigham Young University in the United States. Their research primarily spans the fields of Computer Science and Social Sciences, with key work in several subfields including Artificial Intelligence, Sociology and Political Science, Statistical and Nonlinear Physics, Information Systems, and Health.

The scientist has contributed to topics such as Complex Network Analysis Techniques, Evolutionary Game Theory and Cooperation, Sentiment Analysis and Opinion Mining, Advanced Text Analysis Techniques, Topic Modeling, Machine Learning and Data Classification, and Data Mining Algorithms and Applications.

Frequent publication venues where Christophe Giraud-Carrier's work appears include:

  • Intelligent Data Analysis
  • Proceedings of the International AAAI Conference on Web and Social Media
  • JMIR Infodemiology
  • Clinical Practice in Pediatric Psychology
  • Research Square (Research Square)

Recent papers authored or co-authored by Christophe Giraud-Carrier cover a range of interdisciplinary themes. These include:

  • "Analyzing the Political Sentiment of Tweets in Farsi," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "A Randomized Pilot Trial of a Text Messaging Intervention for Sleep Improvement and Weight Control in Emerging Adults," 2023, Clinical Practice in Pediatric Psychology
  • "GT-CHES: Graph transformation for classification in human evolutionary systems," 2023, Intelligent Data Analysis
  • "COVID-19 Health Beliefs Regarding Mask Wearing and Vaccinations on Twitter: Deep Learning Approach," 2022, JMIR Infodemiology
  • "Improved Early Violence Detection through Dynamic Graph Classification," 2023, Research Square (Research Square)

The scientist collaborates regularly with several co-authors, including Joseph Johnson, Elham Vaziripour, Daniel Zappala, Si yang Ke, and E. Shannon Neeley-Tass.

Best Publications

  • Metalearning: Applications to Data Mining

    Pavel Brazdil;Christophe Giraud-Carrier;Carlos Soares;Ricardo Vilalta

  • Meta-Learning by Landmarking Various Learning Algorithms

    Bernhard Pfahringer;Hilan Bensusan;Christophe G. Giraud-Carrier

  • An instance level analysis of data complexity

    Michael R. Smith;Tony Martinez;Christophe Giraud-Carrier

  • There’s an App for That: Content Analysis of Paid Health and Fitness Apps

    Joshua H West;P Cougar Hall;Carl L. Hanson;Michael D Barnes

  • Tracking Suicide Risk Factors Through Twitter in the US

    Jared Jashinsky;Scott H. Burton;Carl L. Hanson;Josh West

  • Evaluating Social Media's Capacity to Develop Engaged Audiences in Health Promotion Settings: Use of Twitter Metrics as a Case Study

    Brad L. Neiger;Rosemary Thackeray;Scott H. Burton;Christophe G. Giraud-Carrier

  • A note on the utility of incremental learning

    Christophe Giraud-Carrier

  • Metalearning

    Unknown

  • Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students

    Carl L Hanson;Scott H Burton;Christophe Giraud-Carrier;Josh H West

  • Introduction to the Special Issue on Meta-Learning

    Christophe Giraud-Carrier;Ricardo Vilalta;Pavel Brazdil

  • Using Twitter for breast cancer prevention: an analysis of breast cancer awareness month.

    Rosemary Thackeray;Scott H Burton;Christophe Giraud-Carrier;Stephen Rollins

  • Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality

    Scott R Braithwaite;Christophe Giraud-Carrier;Josh West;Michael D Barnes

  • Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous

    Mike Gashler;Christophe Giraud-Carrier;Tony Martinez

  • An exploration of social circles and prescription drug abuse through Twitter.

    Carl Lee Hanson;Ben Cannon;Scott Burton;Christophe Giraud-Carrier

  • Identifying health-related topics on twitter: an exploration of tobacco-related tweets as a test topic

    Kyle W. Prier;Matthew S. Smith;Christophe Giraud-Carrier;Carl L. Hanson

  • Model of familiarity discrimination in the perirhinal cortex.

    Rafal Bogacz;Malcolm W. Brown;Christophe G. Giraud-Carrier

  • "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information

    Scott H Burton;Kesler W Tanner;Christophe G Giraud-Carrier;Joshua H West

  • A reconfigurable dataflow machine for implementing functional programming languages

    Christophe Giraud-Carrier

  • A higher-order approach to meta-learning

    Hilan Bensusan;Christophe Giraud-Carrier;Claire Kennedy

  • Discovering Task Neighbourhoods Through Landmark Learning Performances

    Hilan Bensusan;Christophe G. Giraud-Carrier

  • A novel modular neural architecture for rule-based and similarity-based reasoning

    R Bogacz;C Giraud-Carrier

Frequent Co-Authors

Tony R. Martinez
Tony R. Martinez Brigham Young University
Rafal Bogacz
Rafal Bogacz University of Oxford
Malcolm W. Brown
Malcolm W. Brown University of Bristol
Lei Chen
Lei Chen Hong Kong University of Science and Technology
John W. Lloyd
John W. Lloyd University of Bristol
Richard G. M. Morris
Richard G. M. Morris University of Edinburgh
Bernhard Pfahringer
Bernhard Pfahringer University of Waikato
David W. Embley
David W. Embley Brigham Young University
Sherry Emery
Sherry Emery University of Chicago
Thomas G. Dietterich
Thomas G. Dietterich Oregon State University

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