World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8936
World Ranking
7162
National Ranking
3137

Anupam Datta 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 Anupam Datta 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Anupam Datta 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 Anupam Datta 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Anupam Datta is affiliated with Carnegie Mellon University in the United States, where their research primarily focuses on computer science with a significant body of work in artificial intelligence and its related domains. Their scholarly contributions span several key areas including explainable artificial intelligence (XAI), adversarial robustness in machine learning, and natural language processing techniques.

Datta's recent publications demonstrate a diverse set of research interests integrating both technical and applied topics. Notable papers include:

  • "Subgroups of patients with young-onset type 2 diabetes in India reveal insulin deficiency as a major driver" (2021, Diabetologia)
  • "Identifying and Mitigating the Security Risks of Generative AI" (2023, Foundations and Trends® in Privacy and Security)
  • "An Information-Theoretic Quantification of Discrimination with Exempt Features" (2020, Proceedings of the AAAI Conference on Artificial Intelligence)
  • "Smoothed Geometry for Robust Attribution" (2020, arXiv (Cornell University))
  • "Cost-effectiveness analysis of low-dose prophylaxis versus on-demand treatment for moderate-to-severe hemophilia A in India" (2023, Hematology)

Their research outputs are published in a range of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Diabetologia
  • Journal of Family Medicine and Primary Care
  • Asian Journal of Environment & Ecology
  • Foundations and Trends® in Privacy and Security

Datta collaborates regularly with several co-authors who have contributed to multiple publications, including:

  • Piotr Mardziel
  • Zifan Wang
  • Matt Fredrikson
  • Kaiji Lu
  • John C. Mitchell

Their research intersects multiple fields and subfields. Main areas of study encompass computer science with detailed focus areas including:

  • Artificial Intelligence
  • Endocrinology, Diabetes and Metabolism
  • Genetics
  • Surgery
  • Epidemiology

Among the specific topics covered in their work are:

  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Topic Modeling
  • Natural Language Processing Techniques
  • Diabetes, Cardiovascular Risks, and Lipoproteins
  • Diabetes and associated disorders
  • Agricultural Economics and Practices

Best Publications

  • Automated Experiments on Ad Privacy Settings

    Amit Datta;Michael Carl Tschantz;Anupam Datta

  • Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems

    Anupam Datta;Shayak Sen;Yair Zick

  • TrustVisor: Efficient TCB Reduction and Attestation

    Jonathan M. McCune;Yanlin Li;Ning Qu;Zongwei Zhou

  • Privacy and contextual integrity: framework and applications

    A. Barth;A. Datta;J.C. Mitchell;H. Nissenbaum

  • Protocol Composition Logic (PCL)

    Anupam Datta;Ante Derek;John C. Mitchell;Arnab Roy

  • Gender Bias in Neural Natural Language Processing

    Kaiji Lu;Piotr Mardziel;Fangjing Wu;Preetam Amancharla

  • Differentially private data analysis of social networks via restricted sensitivity

    Jeremiah Blocki;Avrim Blum;Anupam Datta;Or Sheffet

  • Secure Protocol Composition

    Anupam Datta;Ante Derek;John C. Mitchell;Dusko Pavlovic

  • The Johnson-Lindenstrauss Transform Itself Preserves Differential Privacy

    Jeremiah Blocki;Avrim Blum;Anupam Datta;Or Sheffet

  • A derivation system and compositional logic for security protocols

    Anupam Datta;Ante Derek;John C. Mitchell;Dusko Pavlovic

  • Design, Implementation and Verification of an eXtensible and Modular Hypervisor Framework

    A. Vasudevan;S. Chaki;Limin Jia;J. McCune

  • A modular correctness proof of IEEE 802.11i and TLS

    Changhua He;Mukund Sundararajan;Anupam Datta;Ante Derek

  • Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos

    R. S. Feris;B. Siddiquie;J. Petterson;Yun Zhai

  • A Logic of Secure Systems and its Application to Trusted Computing

    Anupam Datta;Jason Franklin;Deepak Garg;Dilsun Kaynar

  • Probabilistic polynomial-time semantics for a protocol security logic

    Anupam Datta;Ante Derek;John C. Mitchell;Vitaly Shmatikov

  • Privacy and Utility in Business Processes

    A. Barth;J. Mitchell;A. Datta;S. Sundaram

  • Machine learning explainability in finance: an application to default risk analysis

    Philippe Bracke;Anupam Datta;Carsten Jung;Shayak Sen

  • Policy auditing over incomplete logs: theory, implementation and applications

    Deepak Garg;Limin Jia;Anupam Datta

  • Flow distribution in parallel and reverse flow manifolds

    A.B. Datta;A.K. Majumdar

  • Experiences in the logical specification of the HIPAA and GLBA privacy laws

    Henry DeYoung;Deepak Garg;Limin Jia;Dilsun Kaynar

  • Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination

    Amit Datta;Michael Carl Tschantz;Anupam Datta

  • Algorithmic Transparency via Quantitative Input Influence

    Anupam Datta;Shayak Sen;Yair Zick

  • A Logic of Secure Systems and its Application to Trusted Computing (CMU-CyLab-09-001)

    Anupam Datta;Jason Franklin;Deepak Garg;Dilsun Kaynar

Frequent Co-Authors

John C. Mitchell
John C. Mitchell Stanford University
Nicolas Christin
Nicolas Christin Carnegie Mellon University
Sagar Chaki
Sagar Chaki Siemens (United States)
Jonathan M. McCune
Jonathan M. McCune Google (United States)
Jeannette M. Wing
Jeannette M. Wing Columbia University
Manuel Blum
Manuel Blum Carnegie Mellon University
Ariel D. Procaccia
Ariel D. Procaccia Harvard University
Helen Nissenbaum
Helen Nissenbaum Cornell University
Adrian Perrig
Adrian Perrig ETH Zurich
Bogdan Warinschi
Bogdan Warinschi University of Bristol

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