World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
27064
World Ranking
7348
National Ranking
3198

Nicolas Usunier 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 Nicolas Usunier 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: 130 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Nicolas Usunier 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 Nicolas Usunier 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Nicolas Usunier is affiliated with Facebook in the United States and has published extensively in the field of computer science. Their research contributions span 48 publications, focusing primarily on artificial intelligence, management science and operations research, and computer vision and pattern recognition among other areas.

The scientist's work often appears in venues such as arXiv (Cornell University), where they have published 25 papers, the 2022 ACM Conference on Fairness, Accountability, and Transparency, Lecture Notes in Computer Science, the Proceedings of the AAAI Conference on Artificial Intelligence, and the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Usunier's research topics include:

  • Advanced Bandit Algorithms Research
  • Domain Adaptation and Few-Shot Learning
  • Reinforcement Learning in Robotics
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Recommender Systems and Techniques
  • Game Theory and Voting Systems

Among recent papers, Usunier was associated with several significant works including:

  • End-to-End Object Detection with Transformers, 2020, Lecture Notes in Computer Science
  • Code Llama: Open Foundation Models for Code, 2023, arXiv (Cornell University)
  • Tensor Decompositions for Temporal Knowledge Base Completion, 2020, arXiv (Cornell University)
  • A Simple Convergence Proof of Adam and Adagrad, 2020, arXiv (Cornell University)
  • Online Certification of Preference-Based Fairness for Personalized Recommender Systems, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent collaborators include Virginie Do, Gabriel Synnaeve, Jamal Atif, Wassim Bouaziz, and El Mahdi El Mhamdi. Their collaboration counts range from four to nine joint works.

Best Publications

  • End-to-End Object Detection with Transformers

    Nicolas Carion;Francisco Massa;Gabriel Synnaeve;Nicolas Usunier

  • Translating Embeddings for Modeling Multi-relational Data

    Antoine Bordes;Nicolas Usunier;Alberto Garcia-Duran;Jason Weston

  • WSABIE: scaling up to large vocabulary image annotation

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Large-scale Simple Question Answering with Memory Networks

    Antoine Bordes;Nicolas Usunier;Sumit Chopra;Jason Weston

  • Code Llama: Open Foundation Models for Code

    Unknown

  • Parseval networks: improving robustness to adversarial examples

    Moustapha Cisse;Piotr Bojanowski;Edouard Grave;Yann Dauphin

  • Large scale image annotation: learning to rank with joint word-image embeddings

    Jason Weston;Samy Bengio;Nicolas Usunier

  • Fader Networks:Manipulating Images by Sliding Attributes

    Guillaume Lample;Guillaume Lample;Neil Zeghidour;Nicolas Usunier;Antoine Bordes

  • Open Question Answering with Weakly Supervised Embedding Models

    Antoine Bordes;Jason Weston;Nicolas Usunier

  • Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization

    Massih Amini;Nicolas Usunier;Cyril Goutte

  • Improving Neural Language Models with a Continuous Cache.

    Edouard Grave;Armand Joulin;Nicolas Usunier

  • Canonical Tensor Decomposition for Knowledge Base Completion

    Timothée Lacroix;Nicolas Usunier;Guillaume Obozinski

  • Music Source Separation in the Waveform Domain

    Alexandre Défossez;Alexandre Défossez;Nicolas Usunier;Léon Bottou;Francis R. Bach;Francis R. Bach

  • Ranking with ordered weighted pairwise classification

    Nicolas Usunier;David Buffoni;Patrick Gallinari

  • Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

    Jason Weston;Antoine Bordes;Oksana Yakhnenko;Nicolas Usunier

  • Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks

    Nicolas Usunier;Gabriel Synnaeve;Zeming Lin;Soumith Chintala

  • Tensor Decompositions for Temporal Knowledge Base Completion

    Timothée Lacroix;Guillaume Obozinski;Nicolas Usunier

  • Optimizing F-Measures by Cost-Sensitive Classification

    Shameem Puthiya Parambath;Nicolas Usunier;Yves Grandvalet

  • Robust Bloom Filters for Large MultiLabel Classification Tasks

    Moustapha M Cisse;Nicolas Usunier;Thierry Artières;Patrick Gallinari

  • A Coverage-Based Approach to Recommendation Diversity On Similarity Graph

    Shameem A. Puthiya Parambath;Nicolas Usunier;Yves Grandvalet

  • A Simple Convergence Proof of Adam and Adagrad

    Alexandre Défossez;Léon Bottou;Francis Bach;Nicolas Usunier

  • Learning Filterbanks from Raw Speech for Phone Recognition

    Neil Zeghidour;Nicolas Usunier;Iasonas Kokkinos;Thomas Schatz

Frequent Co-Authors

Patrick Gallinari
Patrick Gallinari Sorbonne University
Gabriel Synnaeve
Gabriel Synnaeve Facebook (United States)
Antoine Bordes
Antoine Bordes Facebook (United States)
Jason Weston
Jason Weston Facebook (United States)
Francis Bach
Francis Bach École Normale Supérieure
Léon Bottou
Léon Bottou Facebook (United States)
François Laviolette
François Laviolette Université Laval
Emmanuel Dupoux
Emmanuel Dupoux School for Advanced Studies in the Social Sciences
Ludovic Denoyer
Ludovic Denoyer Sorbonne University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens the door to diverse online learning and career options. Many students expand their skills with specialized programs such as the online mba, perfect for those interested in the business and leadership side of technology.

For those seeking to accelerate their education, there are a variety of 1 year online masters programs that let you gain advanced qualifications quickly. These programs often blend technical expertise with practical skills, providing a competitive edge in the job market.

Choosing the right program is key. Students aiming for both efficiency and strong career prospects may want to consider the best online degrees that align with fast-growing fields. Many of these degrees can be completed in a shorter time frame without sacrificing earning potential.

With the rise of artificial intelligence, some of the most promising programs today are the best online ai degree programs. These offer hands-on training for future-focused roles and are designed with both affordability and quality in mind.

Best Scientists Citing Nicolas Usunier

Trending Scientists

Recently Published Articles