World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
7404
World Ranking
10584
National Ranking
4434

Aditya V. Nori 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 Aditya V. Nori 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: 109 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Aditya V. Nori 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 Aditya V. Nori 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Aditya V. Nori is affiliated with Microsoft in the United States and has contributed to research primarily in the fields of Computer Science and Medicine. Their scholarly work spans multiple subfields including Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Informatics, Statistics and Probability, and Computational Theory and Mathematics.

Nori's research covers a range of topics, with significant focus on:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Artificial Intelligence in Healthcare and Education
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Algorithms
  • Computability, Logic, AI Algorithms
  • Medical Imaging Techniques and Applications

The researcher has published extensively with major contributions appearing in the venue arXiv (Cornell University), where eight of their works have been featured. Recent notable papers include:

  • "Secure Medical Image Analysis with CrypTFlow," 2020, arXiv (Cornell University)
  • "Exploring the Boundaries of GPT-4 in Radiology," 2023, arXiv (Cornell University)
  • "Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs," 2021, arXiv (Cornell University)
  • "Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models," 2024, arXiv (Cornell University)
  • "Beyond Words: A Mathematical Framework for Interpreting Large Language Models," 2023, arXiv (Cornell University)

Collaborations form an important aspect of Nori's research profile. Frequent co-authors include Javier Alvarez-Valle, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, and Hoifung Poon, with multiple joint publications reflecting sustained research partnerships.

Best Publications

  • Artificial intelligence in healthcare: transforming the practice of medicine

    Junaid Bajwa;Usman Munir;Aditya Nori;Bryan Williams

  • Unsupervised domain adaptation in brain lesion segmentation with adversarial networks

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Christian F. Baumgartner;Christian Ledig;Virginia F. J. Newcombe

  • Probabilistic programming

    Andrew D. Gordon;Thomas A. Henzinger;Aditya V. Nori;Sriram K. Rajamani

  • DeepMedic for Brain Tumor Segmentation

    Konstantinos Kamnitsas;Konstantinos Kamnitsas;Enzo Ferrante;Sarah Parisot;Christian Ledig

  • HOLMES: Effective statistical debugging via efficient path profiling

    Trishul M. Chilimbi;Ben Liblit;Krishna Mehra;Aditya V. Nori

  • SYNERGY: a new algorithm for property checking

    Bhargav S. Gulavani;Thomas A. Henzinger;Yamini Kannan;Aditya V. Nori

  • Measuring Neural Net Robustness with Constraints

    Osbert Bastani;Yani Ioannou;Leonidas Lampropoulos;Dimitrios Vytiniotis

  • Compositional may-must program analysis: unleashing the power of alternation

    Patrice Godefroid;Aditya V. Nori;Sriram K. Rajamani;Sai Deep Tetali

  • Proofs from Tests

    N E Beckman;A V Nori;S K Rajamani;R J Simmons

  • Merlin: specification inference for explicit information flow problems

    Benjamin Livshits;Aditya V. Nori;Sriram K. Rajamani;Anindya Banerjee

  • Proofs from tests

    Nels E. Beckman;Aditya V. Nori;Sriram K. Rajamani;Robert J. Simmons

  • A data driven approach for algebraic loop invariants

    Rahul Sharma;Saurabh Gupta;Bharath Hariharan;Alex Aiken

  • Automating Software Testing Using Program Analysis

    P. Godefroid;P. de Halleux;A.V. Nori;S.K. Rajamani

  • Autofocus Layer for Semantic Segmentation

    Yao Qin;Konstantinos Kamnitsas;Siddharth Ancha;Jay Nanavati

  • Automatically refining abstract interpretations

    Bhargav S. Gulavani;Supratik Chakraborty;Aditya V. Nori;Sriram K. Rajamani

  • R2: an efficient MCMC sampler for probabilistic programs

    Aditya V. Nori;Chung-Kil Hur;Sriram K. Rajamani;Selva Samuel

  • Interpolants as classifiers

    Rahul Sharma;Aditya V. Nori;Alex Aiken

  • FairSquare: Probabilistic Verification of Program Fairness

    Aws Albarghouthi;Loris D'Antoni;Samuel Drews;Aditya Nori

  • The Yogi Project: Software Property Checking via Static Analysis and Testing

    Aditya V. Nori;Sriram K. Rajamani;Saideep Tetali;Aditya V. Thakur

  • A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health Interventions.

    Isabel Chien;Angel Enrique;Jorge Palacios;Tim Regan

  • Verification as Learning Geometric Concepts

    Rahul Sharma;Saurabh Gupta;Bharath Hariharan;Alex Aiken

Frequent Co-Authors

Sriram K. Rajamani
Sriram K. Rajamani Microsoft (United States)
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Konstantinos Kamnitsas
Konstantinos Kamnitsas University of Oxford
Ben Glocker
Ben Glocker Imperial College London
Andrew D. Gordon
Andrew D. Gordon Microsoft (United States)
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Ozan Oktay
Ozan Oktay Imperial College London
Mayur Naik
Mayur Naik University of Pennsylvania
Thore Graepel
Thore Graepel University College London
Alex Aiken
Alex Aiken Stanford University

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