World's Best Scientists 2026 revealed!
Louis-Philippe Morency

Louis-Philippe Morency

D-Index & Metrics

Computer Science

D-Index
89
Citations
39520
World Ranking
638
National Ranking
341

Louis-Philippe Morency 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 Louis-Philippe Morency 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: 419 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Louis-Philippe Morency 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 Louis-Philippe Morency 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: 89 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Overview

Louis-Philippe Morency is affiliated with Carnegie Mellon University in the United States and specializes in the field of Computer Science, with a focus on Artificial Intelligence. Their research portfolio includes work in several subfields such as Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Signal Processing, and Social Psychology.

The scientist's research covers a broad set of topics, including:

  • Multimodal Machine Learning Applications
  • Topic Modeling
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Speech and Dialogue Systems
  • Sentiment Analysis and Opinion Mining
  • Music and Audio Processing

Recent papers authored or coauthored by Morency include:

  • Think Locally, Act Globally: Federated Learning with Local and Global Representations, 2020, arXiv (Cornell University)
  • Towards Understanding and Mitigating Social Biases in Language Models, 2021, arXiv (Cornell University)
  • Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions, 2024, ACM Computing Surveys
  • Humor Knowledge Enriched Transformer for Understanding Multimodal Humor, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Morency frequently collaborates with a number of researchers, including:

  • Paul Pu Liang
  • Ruslan Salakhutdinov
  • Amir Zadeh
  • Yao-Hung Hubert Tsai
  • Jeffrey F. Cohn

The scientist has published extensively in venues such as:

  • arXiv (Cornell University)
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Lecture Notes in Computer Science
  • Journal of Vision
  • ACM Computing Surveys

In addition to journal and conference publications, Morency has contributed to book publications. One notable work includes editing proceedings for the 1st International Workshop on Socially Intelligent human-like Virtual Agents (SIVA 2023), published by the Centre National de la Recherche Scientifique.

Best Publications

  • Multimodal Machine Learning: A Survey and Taxonomy

    Tadas Baltrusaitis;Chaitanya Ahuja;Louis-Philippe Morency

  • OpenFace: An open source facial behavior analysis toolkit

    Tadas Baltrusaitis;Peter Robinson;Louis-Philippe Morency

  • OpenFace 2.0: Facial Behavior Analysis Toolkit

    Tadas Baltrusaitis;Amir Zadeh;Yao Chong Lim;Louis-Philippe Morency

  • Tensor Fusion Network for Multimodal Sentiment Analysis

    Amir Zadeh;Minghai Chen;Soujanya Poria;Erik Cambria

  • Hidden Conditional Random Fields

    A. Quattoni;S. Wang;L.-P. Morency;M. Collins

  • Multimodal Transformer for Unaligned Multimodal Language Sequences

    Yao-Hung Hubert Tsai;Shaojie Bai;Paul Pu Liang;J. Zico Kolter;J. Zico Kolter

  • Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

    AmirAli Bagher Zadeh;Paul Pu Liang;Soujanya Poria;Erik Cambria

  • Efficient Low-rank Multimodal Fusion With Modality-Specific Factors

    Zhun Liu;Ying Shen;Varun Bharadhwaj Lakshminarasimhan;Paul Pu Liang

  • It's only a computer

    Gale M. Lucas;Jonathan Gratch;Aisha King;Louis-Philippe Morency

  • Context-Dependent Sentiment Analysis in User-Generated Videos.

    Soujanya Poria;Erik Cambria;Devamanyu Hazarika;Navonil Majumder

  • Memory Fusion Network for Multi-view Sequential Learning

    Amir Zadeh;Paul Pu Liang;Navonil Mazumder;Soujanya Poria

  • Hidden Conditional Random Fields for Gesture Recognition

    Sy Bor Wang;A. Quattoni;L.-P. Morency;D. Demirdjian

  • Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages

    Amir Zadeh;Rowan Zellers;Eli Pincus;Louis-Philippe Morency

  • SimSensei kiosk: a virtual human interviewer for healthcare decision support

    David DeVault;Ron Artstein;Grace Benn;Teresa Dey

  • Integrating Multimodal Information in Large Pretrained Transformers.

    Wasifur Rahman;Kamrul Hasan;Sangwu Lee;AmirAli Bagher Zadeh

  • Latent-Dynamic Discriminative Models for Continuous Gesture Recognition

    L.-P. Morency;A. Quattoni;T. Darrell

  • Towards multimodal sentiment analysis: harvesting opinions from the web

    Louis-Philippe Morency;Rada Mihalcea;Payal Doshi

  • Constrained Local Neural Fields for Robust Facial Landmark Detection in the Wild

    Tadas Baltrusaitis;Peter Robinson;Louis-Philippe Morency

  • Multi-attention Recurrent Network for Human Communication Comprehension.

    Amir Zadeh;Paul Pu Liang;Soujanya Poria;Prateek Vij

  • Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors.

    Yansen Wang;Ying Shen;Zhun Liu;Paul Pu Liang

  • The Distress Analysis Interview Corpus of human and computer interviews

    Jonathan Gratch;Ron Artstein;Gale Lucas;Giota stratou

  • Think Locally, Act Globally: Federated Learning with Local and Global Representations

    Paul Pu Liang;Terrance Liu;Liu Ziyin;Ruslan Salakhutdinov

Frequent Co-Authors

Tadas Baltrusaitis
Tadas Baltrusaitis Microsoft (United States)
Jonathan Gratch
Jonathan Gratch University of Southern California
Paul Pu Liang
Paul Pu Liang Carnegie Mellon University
Trevor Darrell
Trevor Darrell University of California, Berkeley
Ruslan Salakhutdinov
Ruslan Salakhutdinov Carnegie Mellon University
Albert Rizzo
Albert Rizzo University of Southern California
Soujanya Poria
Soujanya Poria Nanyang Technological University
David Traum
David Traum University of Southern California
Stacy Marsella
Stacy Marsella Northeastern University

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