World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
9852
World Ranking
13823
National Ranking
5491

Roozbeh Mottaghi 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 Roozbeh Mottaghi 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: 126 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Roozbeh Mottaghi 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 Roozbeh Mottaghi 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Roozbeh Mottaghi is a researcher affiliated with the University of Washington in the United States, specializing in computer science with a strong focus on computer vision, artificial intelligence, and related subfields. Their work encompasses a wide range of topics including multimodal machine learning applications, human pose and action recognition, domain adaptation and few-shot learning, reinforcement learning in robotics, advanced image and video retrieval techniques, robot manipulation and learning, and explainable artificial intelligence (XAI).

The primary field of study for this researcher is computer science, with a total of 118 publications attributed to this area. Within computer science, Mottaghi's notable subfields include computer vision and pattern recognition, artificial intelligence, control and systems engineering, aerospace engineering, and computer science applications.

Frequent co-authors in their research include Aniruddha Kembhavi, Ali Farhadi, Dhruv Batra, Devendra Singh Chaplot, and Kiana Ehsani. Collaboration with these co-authors spans multiple projects and publications, reflecting sustained research partnerships.

Mottaghi has contributed extensively to several publication venues. The most frequent outlet for their work is arXiv (Cornell University), with 40 publications. Other notable venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Proceedings of the AAAI Conference on Artificial Intelligence, and Lecture Notes in Computer Science.

Some recent papers that highlight their research areas are:

  • Simple but Effective: CLIP Embeddings for Embodied AI, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects, 2020, arXiv (Cornell University)
  • Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks, 2022, arXiv (Cornell University)
  • Rearrangement: A Challenge for Embodied AI, 2020, arXiv (Cornell University)
  • Multi-Modal Answer Validation for Knowledge-Based VQA, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

The research topics covered in these papers reflect Mottaghi's diverse interests, particularly in embodied AI, multimodal learning, and vision-language integration.

Best Publications

  • Target-driven visual navigation in indoor scenes using deep reinforcement learning

    Yuke Zhu;Roozbeh Mottaghi;Eric Kolve;Joseph J. Lim

  • The Role of Context for Object Detection and Semantic Segmentation in the Wild

    Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho

  • Beyond PASCAL: A benchmark for 3D object detection in the wild

    Yu Xiang;Roozbeh Mottaghi;Silvio Savarese

  • On Evaluation of Embodied Navigation Agents

    Peter Anderson;Angel X. Chang;Devendra Singh Chaplot;Alexey Dosovitskiy

  • Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

    Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler

  • AI2-THOR: An Interactive 3D Environment for Visual AI

    Eric Kolve;Roozbeh Mottaghi;Daniel Gordon;Yuke Zhu

  • OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

    Kenneth Marino;Mohammad Rastegari;Ali Farhadi;Roozbeh Mottaghi

  • ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

    Mohit Shridhar;Jesse Thomason;Daniel Gordon;Yonatan Bisk

  • ObjectNet3D: A Large Scale Database for 3D Object Recognition

    Yu Xiang;Wonhui Kim;Wei Chen;Jingwei Ji

  • Visual Semantic Navigation using Scene Priors

    Wei Yang;Xiaolong Wang;Ali Farhadi;Abhinav Gupta

  • Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning

    Mitchell Wortsman;Kiana Ehsani;Mohammad Rastegari;Ali Farhadi

  • Bottom-Up Segmentation for Top-Down Detection

    Sanja Fidler;Roozbeh Mottaghi;Alan Yuille;Raquel Urtasun

  • A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge

    Unknown

  • SeGAN: Segmenting and Generating the Invisible

    Kiana Ehsani;Roozbeh Mottaghi;Ali Farhadi

  • ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

    Unknown

  • Visual Semantic Planning Using Deep Successor Representations

    Yuke Zhu;Daniel Gordon;Eric Kolve;Dieter Fox

  • ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

    Dhruv Batra;Aaron Gokaslan;Aniruddha Kembhavi;Oleksandr Maksymets

  • RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

    Matt Deitke;Winson Han;Alvaro Herrasti;Aniruddha Kembhavi

  • Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images

    Roozbeh Mottaghi;Hessam Bagherinezhad;Mohammad Rastegari;Ali Farhadi

  • Simple but Effective: CLIP Embeddings for Embodied AI.

    Apoorv Khandelwal;Luca Weihs;Roozbeh Mottaghi;Aniruddha Kembhavi

  • Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning

    Yuke Zhu;Roozbeh Mottaghi;Eric Kolve;Joseph J. Lim

  • Rearrangement: A Challenge for Embodied AI.

    Dhruv Batra;Angel X. Chang;Sonia Chernova;Andrew J. Davison

  • Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

    Unknown

  • “What Happens If...” Learning to Predict the Effect of Forces in Images

    Roozbeh Mottaghi;Mohammad Rastegari;Abhinav Gupta;Abhinav Gupta;Ali Farhadi;Ali Farhadi

  • Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts

    Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler

  • Visual Room Rearrangement

    Luca Weihs;Matt Deitke;Aniruddha Kembhavi;Roozbeh Mottaghi

Frequent Co-Authors

Ali Farhadi
Ali Farhadi University of Washington
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Sanja Fidler
Sanja Fidler University of Toronto
Raquel Urtasun
Raquel Urtasun University of Toronto
Yuke Zhu
Yuke Zhu The University of Texas at Austin
Silvio Savarese
Silvio Savarese Stanford University
Yejin Choi
Yejin Choi Stanford University
Dieter Fox
Dieter Fox University of Washington
Li Fei-Fei
Li Fei-Fei Stanford University

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