World's Best Scientists 2026 revealed!
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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
60
Citations
13217
World Ranking
3264
National Ranking
74

Volkan Cevher 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 Volkan Cevher 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 375 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Volkan Cevher 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 Volkan Cevher sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 60 D-Index — 78th percentile

78% 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

  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Volkan Cevher is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily spans computer science, with substantial focus on artificial intelligence, computational mechanics, management science and operations research, computational theory and mathematics, and numerical analysis.

Cevher's work addresses a variety of specialized topics within these fields including:

  • Stochastic Gradient Optimization Techniques
  • Sparse and Compressive Sensing Techniques
  • Advanced Bandit Algorithms Research
  • Adversarial Robustness in Machine Learning
  • Machine Learning and Algorithms
  • Advanced Optimization Algorithms Research
  • Reinforcement Learning in Robotics

Their publication record includes numerous papers, with a majority published on arXiv by Cornell University, alongside contributions in journals such as SIAM Journal on Optimization and IEEE Signal Processing Magazine. Recent papers include:

  • "DiGress: Discrete Denoising diffusion for graph generation," 2022, arXiv (Cornell University)
  • "Lipschitz constant estimation of Neural Networks via sparse polynomial optimization," 2020, arXiv (Cornell University)
  • "On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems," 2020, arXiv (Cornell University)
  • "On the Convergence of Stochastic Primal-Dual Hybrid Gradient," 2022, SIAM Journal on Optimization

Cevher has collaborated frequently with several researchers who have contributed to their body of work. Among these frequent coauthors are:

  • Grigorios G. Chrysos
  • Fanghui Liu
  • Stratis Skoulakis
  • Yongtao Wu
  • Panayotis Mertikopoulos

The scientist's work is disseminated predominantly in the following venues:

  • arXiv (Cornell University)
  • SIAM Journal on Optimization
  • IEEE Signal Processing Magazine
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Mathematical Programming

Volkan Cevher's research continues to contribute to developments in optimization algorithms, machine learning robustness, and computational methods. Their extensive publication record and collaborations reflect ongoing engagement with these areas in computer science and applied mathematics.

Best Publications

  • Model-Based Compressive Sensing

    R.G. Baraniuk;V. Cevher;M.F. Duarte;C. Hegde

  • Ultrasensitive hyperspectral imaging and biodetection enabled by dielectric metasurfaces

    Filiz Yesilkoy;Eduardo R. Arvelo;Yasaman Jahani;Mingkai Liu

  • Compressive Sensing for Background Subtraction

    Volkan Cevher;Aswin Sankaranarayanan;Marco F. Duarte;Dikpal Reddy

  • Convex Optimization for Big Data: Scalable, randomized, and parallel algorithms for big data analytics

    Volkan Cevher;Stephen Becker;Mark W. Schmidt

  • Bilinear Generalized Approximate Message Passing—Part I: Derivation

    Jason T. Parker;Philip Schniter;Volkan Cevher

  • Practical Sketching Algorithms For Low-Rank Matrix Approximation

    Joel A. Tropp;Alp Yurtsever;Madeleine Udell;Volkan Cevher

  • Sparse Signal Recovery Using Markov Random Fields

    Volkan Cevher;Marco F. Duarte;Chinmay Hegde;Richard Baraniuk

  • Distributed target localization via spatial sparsity

    Volkan Cevher;Marco F. Duarte;Richard G. Baraniuk

  • A compressive beamforming method

    A.C. Gurbuz;J.H. McClellan;V. Cevher

  • Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective

    Richard G Baraniuk;Volkan Cevher;Michael B Wakin

  • Convex Optimization for Big Data

    Volkan Cevher;Stephen Becker;Mark Schmidt

  • High-Dimensional Gaussian Process Bandits

    Josip Djolonga;Andreas Krause;Volkan Cevher

  • Scalable Semidefinite Programming

    Alp Yurtsever;Joel Aaron Tropp;Olivier Fercoq;Madeleine Udell

  • WASP: Scalable Bayes via barycenters of subset posteriors

    Sanvesh Srivastava;Volkan Cevher;Quoc Tran Dinh;David B. Dunson

  • Vehicle Speed Estimation Using Acoustic Wave Patterns

    V. Cevher;R. Chellappa;J.H. McClellan

  • Submodular Dictionary Selection for Sparse Representation

    Andreas Krause;Volkan Cevher

  • Learning-Based Compressive MRI

    Baran Gozcu;Rabeeh Karimi Mahabadi;Yen-Huan Li;Efe Ilicak

  • Learning with Compressible Priors

    Volkan Cevher

  • Compressible Distributions for High-Dimensional Statistics

    R. Gribonval;V. Cevher;M. E. Davies

  • Recovery of Clustered Sparse Signals from Compressive Measurements

    Volkan Cevher;Piotr Indyk;Piotr Indyk;Chinmay Hegde;Richard G Baraniuk

  • Randomized Single-View Algorithms for Low-Rank Matrix Approximation

    Joel Aaron Tropp;Alp Yurtsever;Madeleine Udell;Volkan Cevher

  • Supplementary Materials WASP: Scalable Bayes via barycenters of subset posteriors

    Sanvesh Srivastava;Volkan Cevher;Quoc Tran-Dinh;David B. Dunson

  • Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective There are many signal techniques that can be used to perform data acquisition, analysis or processing more efficiently and accurately than can be done by most random signal processors.

    Richard G. Baraniuk;Volkan Cevher;Michael B. Wakin

Frequent Co-Authors

James H. McClellan
James H. McClellan Georgia Institute of Technology
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Hervé Bourlard
Hervé Bourlard Idiap Research Institute
Rama Chellappa
Rama Chellappa Johns Hopkins University
Joel A. Tropp
Joel A. Tropp California Institute of Technology
Lawrence Carin
Lawrence Carin Duke University
Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Aswin C. Sankaranarayanan
Aswin C. Sankaranarayanan Carnegie Mellon University
Marco F. Duarte
Marco F. Duarte University of Massachusetts Amherst
Philip Schniter
Philip Schniter The Ohio State University

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