World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
72
Citations
108802
World Ranking
1627
National Ranking
840

Ali Farhadi 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 Ali Farhadi 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Ali Farhadi 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 Ali Farhadi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 72 D-Index — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - Fellow of Alfred P. Sloan Foundation

Overview

Ali Farhadi is a researcher affiliated with the University of Washington in the United States. Their primary domain is Computer Science, with a particular concentration on Computer Vision and Pattern Recognition. Within this domain, Farhadi has contributed extensively in related subfields such as Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Civil and Structural Engineering, and Aerospace Engineering.

Their scholarly output encompasses topics that include Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, Advanced Neural Network Applications, Topic Modeling, Natural Language Processing Techniques, and Advanced Image and Video Retrieval Techniques.

Frequent collaborators of Ali Farhadi include Aniruddha Kembhavi, Hannaneh Hajishirzi, Aditya Kusupati, Vivek Ramanujan, and Luca Weihs.

Farhadi's publications appear predominantly in the venue arXiv (Cornell University), with additional contributions to Lecture Notes in Computer Science, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the Bulletin of the Seismological Society of America, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Selected recent publications illustrate the range of their research:

  • "A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)" (2024), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Automated Indent Scanning: Artificial intelligence assisted scanning of large regular and irregular nanoindentation arrays in scanning electron microscopes" (2024), published in Zenodo (CERN European Organization for Nuclear Research)
  • "Robust fine-tuning of zero-shot models" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping" (2020), available on arXiv (Cornell University)

In 2017, Ali Farhadi was recognized as a Fellow of the Alfred P. Sloan Foundation.

Best Publications

  • You Only Look Once: Unified, Real-Time Object Detection

    Joseph Redmon;Santosh Divvala;Ross Girshick;Ali Farhadi

  • YOLO9000: Better, Faster, Stronger

    Joseph Redmon;Ali Farhadi

  • YOLOv3: An Incremental Improvement.

    Joseph Redmon;Ali Farhadi

  • XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

    Mohammad Rastegari;Vicente Ordonez;Joseph Redmon;Ali Farhadi;Ali Farhadi

  • Describing objects by their attributes

    Ali Farhadi;Ian Endres;Derek Hoiem;David Forsyth

  • Unsupervised deep embedding for clustering analysis

    Junyuan Xie;Ross Girshick;Ali Farhadi

  • Bidirectional Attention Flow for Machine Comprehension

    Min Joon Seo;Aniruddha Kembhavi;Ali Farhadi;Hannaneh Hajishirzi

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

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

  • Every picture tells a story: generating sentences from images

    Ali Farhadi;Mohsen Hejrati;Mohammad Amin Sadeghi;Peter Young

  • Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

    Gunnar A. Sigurdsson;Gül Varol;Xiaolong Wang;Ali Farhadi;Ali Farhadi

  • From Recognition to Cognition: Visual Commonsense Reasoning

    Rowan Zellers;Yonatan Bisk;Ali Farhadi;Yejin Choi

  • HellaSwag: Can a Machine Really Finish Your Sentence?

    Rowan Zellers;Ari Holtzman;Yonatan Bisk;Ali Farhadi

  • Objaverse: A Universe of Annotated 3D Objects

    Unknown

  • 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

  • Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

    Unknown

  • Recognition using visual phrases

    Mohammad Amin Sadeghi;Ali Farhadi

  • Understanding egocentric activities

    Alireza Fathi;Ali Farhadi;James M. Rehg

  • Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks

    Junyuan Xie;Ross B. Girshick;Ali Farhadi

  • IQA: Visual Question Answering in Interactive Environments

    Daniel Gordon;Aniruddha Kembhavi;Mohammad Rastegari;Joseph Redmon

  • Defending Against Neural Fake News

    Rowan Zellers;Ari Holtzman;Hannah Rashkin;Yonatan Bisk

  • Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping

    Jesse Dodge;Gabriel Ilharco;Roy Schwartz;Ali Farhadi

Frequent Co-Authors

Roozbeh Mottaghi
Roozbeh Mottaghi University of Washington
Hannaneh Hajishirzi
Hannaneh Hajishirzi University of Washington
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Yejin Choi
Yejin Choi Stanford University
Dieter Fox
Dieter Fox University of Washington
David Forsyth
David Forsyth University of Illinois at Urbana-Champaign
Derek Hoiem
Derek Hoiem University of Illinois at Urbana-Champaign
Ross Girshick
Ross Girshick Facebook (United States)
Xiaolong Wang
Xiaolong Wang University of California, San Diego
Min Sun
Min Sun National Tsing Hua University

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