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Pradeep Ravikumar

D-Index & Metrics

Computer Science

D-Index
56
Citations
18221
World Ranking
3980
National Ranking
1895

Pradeep Ravikumar 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 Pradeep Ravikumar 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Pradeep Ravikumar 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 Pradeep Ravikumar 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: 56 D-Index — 72nd percentile

72% 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

  • 2014 - Fellow of Alfred P. Sloan Foundation

Overview

Pradeep Ravikumar is affiliated with Carnegie Mellon University in the United States and has a substantial record of contributions in the field of computer science, particularly focusing on artificial intelligence and related subfields. Their research encompasses a wide range of topics within machine learning and its applications.

Ravikumar's recent published papers include the following:

  • The Risks of Invariant Risk Minimization, 2020, arXiv (Cornell University)
  • MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius, 2020, arXiv (Cornell University)
  • Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Faith-Shap: The Faithful Shapley Interaction Index, 2022, arXiv (Cornell University)
  • Certified Robustness to Label-Flipping Attacks via Randomized Smoothing, 2020, arXiv (Cornell University)

The frequent co-authors of Ravikumar's work include:

  • Bryon Aragam, with 15 collaborations
  • Chih-Kuan Yeh, with 10 collaborations
  • Dan Chen, with 8 collaborations
  • Elan Rosenfeld, with 8 collaborations
  • Andrej Risteski, with 8 collaborations

Ravikumar has published extensively in several venues, predominantly in arXiv hosted by Cornell University with 54 papers. Other publication venues include:

  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of the Royal Statistical Society Series B (Statistical Methodology)
  • Applied AI Letters
  • The Annals of Statistics

The main fields of study for Ravikumar are centered on computer science, with a strong focus on artificial intelligence. The subfields further detail their areas of expertise as:

  • Artificial Intelligence
  • Statistics and Probability
  • Management Science and Operations Research
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

The primary topics of their research work cover:

  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Algorithms
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification
  • Anomaly Detection Techniques and Applications
  • Bayesian Modeling and Causal Inference

In recognition of their work, Pradeep Ravikumar was awarded the title of Fellow of the Alfred P. Sloan Foundation in 2014.

Best Publications

  • A comparison of string distance metrics for name-matching tasks

    William W. Cohen;Pradeep Ravikumar;Stephen E. Fienberg

  • A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers

    Sahand N. Negahban;Pradeep Ravikumar;Martin J. Wainwright;Bin Yu

  • High-dimensional Ising model selection using ℓ1-regularized logistic regression

    Pradeep Ravikumar;Martin J. Wainwright;John D. Lafferty

  • High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence

    Pradeep Ravikumar;Martin J. Wainwright;Garvesh Raskutti;Bin Yu

  • Learning with Noisy Labels

    Nagarajan Natarajan;Inderjit S Dhillon;Pradeep K Ravikumar;Ambuj Tewari

  • Sparse Additive Models

    Pradeep Ravikumar;John Lafferty;Han Liu;Larry Wasserman

  • Adaptive name matching in information integration

    M. Bilenko;R. Mooney;W. Cohen;P. Ravikumar

  • High-dimensional Ising model selection using ${ll_1}$-regularized logistic regression

    Pradeep Ravikumar;Martin J. Wainwright;John D. Lafferty

  • A Dirty Model for Multi-task Learning

    Ali Jalali;Sujay Sanghavi;Chao Ruan;Pradeep K. Ravikumar

  • DAGs with NO TEARS: Continuous Optimization for Structure Learning

    Xun Zheng;Bryon Aragam;Pradeep K. Ravikumar;Eric P. Xing

  • Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation

    Cho-jui Hsieh;Inderjit S. Dhillon;Pradeep K. Ravikumar;Mátyás A. Sustik

  • Information-theoretic lower bounds on the oracle complexity of convex optimization

    Alekh Agarwal;Peter L. Bartlett;Pradeep Ravikumar;Martin J. Wainwright

  • A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers

    Sahand Negahban;Bin Yu;Martin J Wainwright;Pradeep K. Ravikumar

  • Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization

    A. Agarwal;P. L. Bartlett;P. Ravikumar;M. J. Wainwright

  • Collaborative filtering with graph information: consistency and scalable methods

    Nikhil Rao;Hsiang-Fu Yu;Pradeep Ravikumar;Inderjit S. Dhillon

  • High-Dimensional Graphical Model Selection Using ell_1-Regularized Logistic Regression

    Martin J Wainwright;John D. Lafferty;Pradeep K. Ravikumar

  • BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables

    Cho-Jui Hsieh;Matyas A Sustik;Inderjit S Dhillon;Pradeep K Ravikumar

  • QUIC: quadratic approximation for sparse inverse covariance estimation

    Cho-Jui Hsieh;Mátyás A. Sustik;Inderjit S. Dhillon;Pradeep Ravikumar

  • On the (In)fidelity and Sensitivity of Explanations

    Chih-Kuan Yeh;Cheng-Yu Hsieh;Arun Sai Suggala;David I. Inouye

  • Graphical models via univariate exponential family distributions

    Eunho Yang;Pradeep Ravikumar;Genevera I. Allen;Zhandong Liu

  • Representer Point Selection for Explaining Deep Neural Networks

    Chih-Kuan Yeh;Joon Sik Kim;Ian En-Hsu Yen;Pradeep Ravikumar

  • Learning Sparse Nonparametric DAGs

    Xun Zheng;Chen Dan;Bryon Aragam;Pradeep Ravikumar

  • On the (In)fidelity and Sensitivity for Explanations.

    Chih-Kuan Yeh;Cheng-Yu Hsieh;Arun Sai Suggala;David I. Inouye

Frequent Co-Authors

Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Martin J. Wainwright
Martin J. Wainwright MIT
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
John Lafferty
John Lafferty Yale University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Bin Yu
Bin Yu University of California, Berkeley
Ambuj Tewari
Ambuj Tewari University of Michigan–Ann Arbor
Alekh Agarwal
Alekh Agarwal Google (United States)
William W. Cohen
William W. Cohen Carnegie Mellon University
Arindam Banerjee
Arindam Banerjee University of Illinois at Urbana-Champaign

External Links

Personal website of Pradeep Ravikumar Google Scholar page

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Best Scientists Citing Pradeep Ravikumar

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Northwestern University

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École Normale Supérieure

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RIKEN

Publications: 38

Arindam Banerjee

Arindam Banerjee

University of Illinois at Urbana-Champaign

Publications: 35

Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

Publications: 34

Jianqing Fan

Jianqing Fan

Princeton University

Publications: 33

Volkan Cevher

Volkan Cevher

École Polytechnique Fédérale de Lausanne

Publications: 33

John C. Duchi

John C. Duchi

Stanford University

Publications: 31

Tong Zhang

Tong Zhang

University of Illinois at Urbana-Champaign

Publications: 30

Lise Getoor

Lise Getoor

University of California, Santa Cruz

Publications: 27

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Alan S. Willsky

MIT

Publications: 25

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University of Pennsylvania

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