World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
91
Citations
74785
World Ranking
556
National Ranking
295

Devi Parikh 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 Devi Parikh 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Devi Parikh 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 Devi Parikh 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: 91 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.

Research.com Recognitions

  • 2016 - Fellow of Alfred P. Sloan Foundation

Overview

Devi Parikh is a researcher affiliated with Facebook in the United States with a primary focus on computer science. Their expertise spans several subfields including computer vision and pattern recognition, artificial intelligence, control and systems engineering, signal processing, and materials chemistry. Parikh's body of work includes extensive research on multimodal machine learning applications, domain adaptation and few-shot learning, generative adversarial networks and image synthesis, advanced image and video retrieval techniques, video analysis and summarization, natural language processing techniques, and human motion and animation.

Parikh has contributed to 135 publications in computer science, with a significant number (87) related to computer vision and pattern recognition. Their work appears frequently in publication venues including arXiv (Cornell University), Lecture Notes in Computer Science, ACS Catalysis, TIB Data Manager, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recent papers by Devi Parikh include the following:

  • Open Catalyst 2020 (OC20) Dataset and Community Challenges, 2021, ACS Catalysis
  • Hierarchical Question-Image Co-Attention for Visual Question Answering, 2024, TIB Data Manager
  • Make-A-Video: Text-to-Video Generation without Text-Video Data, 2022, arXiv (Cornell University)
  • AudioGen: Textually Guided Audio Generation, 2022, arXiv (Cornell University)
  • Improving Vision-and-Language Navigation with Image-Text Pairs from the Web, 2020, Lecture Notes in Computer Science

Frequent co-authors collaborating with Parikh include Dhruv Batra, Yaniv Taigman, Adam Polyak, Abhishek Das, and C. Lawrence Zitnick, reflecting joint efforts across multiple projects and studies.

Devi Parikh was recognized as a Fellow of the Alfred P. Sloan Foundation in 2016, indicating acknowledgment from the scientific community for their contributions to their field.

Best Publications

  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

    Ramprasaath R. Selvaraju;Michael Cogswell;Abhishek Das;Ramakrishna Vedantam

  • Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

    Ramprasaath R. Selvaraju;Michael Cogswell;Abhishek Das;Ramakrishna Vedantam

  • VQA: Visual Question Answering

    Stanislaw Antol;Aishwarya Agrawal;Jiasen Lu;Margaret Mitchell

  • CIDEr: Consensus-based image description evaluation

    Ramakrishna Vedantam;C. Lawrence Zitnick;Devi Parikh

  • ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

    Jiasen Lu;Dhruv Batra;Devi Parikh;Stefan Lee

  • Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

    Yash Goyal;Tejas Khot;Douglas Summers-Stay;Dhruv Batra

  • VQA: Visual Question Answering

    Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell

  • Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

    Jiasen Lu;Caiming Xiong;Devi Parikh;Richard Socher

  • Hierarchical Question-Image Co-Attention for Visual Question Answering

    Jiasen Lu;Jianwei Yang;Dhruv Batra;Devi Parikh

  • Relative attributes

    Devi Parikh;Kristen Grauman

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Jitendra Malik;Devi Parikh;Dhruv Batra

  • Graph R-CNN for Scene Graph Generation

    Jianwei Yang;Jiasen Lu;Stefan Lee;Dhruv Batra;Dhruv Batra

  • Joint Unsupervised Learning of Deep Representations and Image Clusters

    Jianwei Yang;Devi Parikh;Dhruv Batra

  • Visual Dialog

    Abhishek Das;Satwik Kottur;Khushi Gupta;Avi Singh

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

    Nasrin Mostafazadeh;Nathanael Chambers;Xiaodong He;Devi Parikh

  • Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization

    Ramprasaath R. Selvaraju;Abhishek Das;Ramakrishna Vedantam;Michael Cogswell

  • iCoseg: Interactive co-segmentation with intelligent scribble guidance

    Dhruv Batra;Adarsh Kowdle;Devi Parikh;Jiebo Luo

  • Embodied Question Answering

    Abhishek Das;Samyak Datta;Georgia Gkioxari;Stefan Lee

  • Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

    Aishwarya Agrawal;Dhruv Batra;Devi Parikh;Aniruddha Kembhavi

  • VQA: Visual Question Answering

    Aishwarya Agrawal;Jiasen Lu;Stanislaw Antol;Margaret Mitchell

  • Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

    Yash Goyal;Tejas Khot;Aishwarya Agrawal;Douglas Summers-Stay

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Abhishek Kadian;Oleksandr Maksymets;Yili Zhao

Frequent Co-Authors

Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Stefan Lee
Stefan Lee Oregon State University
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Tsuhan Chen
Tsuhan Chen Cornell University
Marcus Rohrbach
Marcus Rohrbach Facebook (United States)
Xinlei Chen
Xinlei Chen Facebook (United States)
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Kristen Grauman
Kristen Grauman The University of Texas at Austin
Mohit Bansal
Mohit Bansal University of North Carolina at Chapel Hill
Irfan Essa
Irfan Essa Georgia Institute of Technology

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 online options can expand your career possibilities in computer science. Many students begin with online associates programs, which build strong technical foundations and allow for flexible, affordable entry into the field.

If you're looking for a faster route to higher credentials, consider the quickest masters degree online. These intensive programs can often be completed within a year and help accelerate your path toward specialized or leadership roles.

With the rapidly evolving tech landscape, choosing masters degrees that are worth it is critical. Focus on programs in demand, such as data science, cybersecurity, or artificial intelligence, to boost your marketability and salary potential.

Even if you’re looking to upskill quickly, there are short certificate programs that pay well. These targeted certifications can help you land roles in IT support, coding, or web development in under a year.

Best Scientists Citing Devi Parikh

Trending Scientists

Recently Published Articles