World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7063
World Ranking
9700
National Ranking
4103

Kush R. Varshney 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 Kush R. Varshney 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: 244 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Kush R. Varshney 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 Kush R. Varshney 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Kush R. Varshney is affiliated with IBM in the United States. Their research primarily focuses on the field of Computer Science, with a significant concentration on subfields such as Artificial Intelligence, Safety Research, Statistics and Probability, Health Informatics, and Molecular Biology.

Their work covers a range of topics including Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Adversarial Robustness in Machine Learning, Topic Modeling, Artificial Intelligence in Healthcare and Education, Privacy-Preserving Technologies in Data, and Natural Language Processing Techniques.

Varshney has published extensively, with notable papers including:

  • "Socially Responsible AI Algorithms: Issues, Purposes, and Challenges," 2021, Journal of Artificial Intelligence Research
  • "Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making," 2022, Proceedings of the ACM on Human-Computer Interaction
  • "Data Augmentation for Discrimination Prevention and Bias Disambiguation," 2020, Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • "A synergistic future for AI and ecology," 2023, Proceedings of the National Academy of Sciences
  • "Socially Responsible AI Algorithms: Issues, Purposes, and Challenges," 2021, arXiv (Cornell University)

Frequent co-authors collaborating with Varshney include Prasanna Sattigeri, Amit Dhurandhar, Karthikeyan Shanmugam, Pierre Dognin, and Inkit Padhi.

Their research contributions have been featured most frequently in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the AAAI/ACM Conference on AI Ethics and Society, Nature Machine Intelligence, and the Proceedings of the International AAAI Conference on Web and Social Media.

Best Publications

  • AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

    R. K. E. Bellamy;K. Dey;M. Hind;S. C. Hoffman

  • Optimized Pre-Processing for Discrimination Prevention

    Flávio du Pin Calmon;Dennis Wei;Bhanukiran Vinzamuri;Karthikeyan Natesan Ramamurthy

  • AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

    Rachel K. E. Bellamy;Kuntal Dey;Michael Hind;Samuel C. Hoffman

  • FactSheets: Increasing trust in AI services through supplier's declarations of conformity

    M. Arnold;R. K. E. Bellamy;M. Hind;S. Houde

  • Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing

    Mujdat Cetin;Ivana Stojanovic;Ozben Onhon;Kush Varshney

  • One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar

  • Socially Responsible AI Algorithms: Issues, Purposes, and Challenges

    Lu Cheng;Kush R. Varshney;Huan Liu

  • Sparse Representation in Structured Dictionaries With Application to Synthetic Aperture Radar

    K.R. Varshney;M. Cetin;J.W. Fisher;A.S. Willsky

  • On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products

    Kush R. Varshney;Homa Alemzadeh

  • The Effect of Extremist Violence on Hateful Speech Online

    Alexandra Olteanu;Carlos Castillo;Jeremy Boy;Kush R. Varshney

  • Deciding Fast and Slow: The Role of Cognitive Biases in AI-assisted Decision-making.

    Charvi Rastogi;Yunfeng Zhang;Dennis Wei;Kush R. Varshney

  • Fairness GAN: Generating datasets with fairness properties using a generative adversarial network

    Prasanna Sattigeri;Samuel C. Hoffman;Vijil Chenthamarakshan;Kush R. Varshney

  • Engineering safety in machine learning

    Kush R. Varshney

  • The Effect of Extremist Violence on Hateful Speech Online

    Alexandra Olteanu;Carlos Castillo;Jeremy Boy;Kush R. Varshney

  • Bias Mitigation Post-processing for Individual and Group Fairness

    Pranay K. Lohia;Karthikeyan Natesan Ramamurthy;Manish Bhide;Diptikalyan Saha

  • TED: Teaching AI to Explain its Decisions

    Michael Hind;Dennis Wei;Murray Campbell;Noel C. F. Codella

  • Exact Rule Learning via Boolean Compressed Sensing

    Dmitry Malioutov;Kush Varshney

  • Invariant Risk Minimization Games

    Kartik Ahuja;Karthikeyan Shanmugam;Kush Varshney;Amit Dhurandhar

  • Collaborative Kalman Filtering for Dynamic Matrix Factorization

    John Z. Sun;Dhruv Parthasarathy;Kush R. Varshney

  • How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?

    Yaoli Mao;Dakuo Wang;Michael Muller;Kush R. Varshney

  • Data Augmentation for Discrimination Prevention and Bias Disambiguation

    Shubham Sharma;Yunfeng Zhang;Jesús M. Ríos Aliaga;Djallel Bouneffouf

  • Fair Transfer Learning with Missing Protected Attributes

    Amanda Coston;Karthikeyan Natesan Ramamurthy;Dennis Wei;Kush R. Varshney

  • Fairness of Classifiers Across Skin Tones in Dermatology

    Newton M. Kinyanjui;Timothy Odonga;Celia Cintas;Noel C. F. Codella

  • Targeting Villages for Rural Development Using Satellite Image Analysis

    Kush R. Varshney;George H. Chen;Brian Abelson;Kendall Nowocin

  • Increasing Trust in AI Services through Supplier's Declarations of Conformity

    Michael Hind;Sameep Mehta;Aleksandra Mojsilovic;Ravi Nair

  • Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing

    Sanghamitra Dutta;Dennis Wei;Hazar Yueksel;Pin-Yu Chen

  • Sparsity-Driven Synthetic Aperture Radar Imaging

    Ivana Stojanovic;Kush R. Varshney;Sadegh Samadi;W. Clem Karl

Frequent Co-Authors

Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Michael Hind
Michael Hind IBM (United States)
Lav R. Varshney
Lav R. Varshney University of Illinois at Urbana-Champaign
Jun Wang
Jun Wang University College London
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Mujdat Cetin
Mujdat Cetin University of Rochester
Jinfeng Yi
Jinfeng Yi IBM (United States)
Pin-Yu Chen
Pin-Yu Chen IBM (United States)
Dongping Fang
Dongping Fang Tsinghua University

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