World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
3324
World Ranking
13759
National Ranking
5463

Branislav Kveton 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 Branislav Kveton 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: 185 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Branislav Kveton 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 Branislav Kveton 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Branislav Kveton is affiliated with Adobe Systems in the United States. Their research spans several subfields of computer science, with a particular focus on artificial intelligence and decision sciences.

The main fields of study in which Branislav Kveton has contributed include:

  • Computer Science
  • Decision Sciences

Their work extends across a number of subfields, notably:

  • Artificial Intelligence
  • Management Science and Operations Research
  • Computational Theory and Mathematics
  • Information Systems
  • Computer Science Applications

Kveton has focused research topics in areas such as:

  • Advanced Bandit Algorithms Research
  • Machine Learning and Algorithms
  • Reinforcement Learning in Robotics
  • Data Stream Mining Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Recommender Systems and Techniques
  • Machine Learning and Data Classification

Recent papers authored or coauthored by Branislav Kveton include:

  • "Kernel-Based Reinforcement Learning on Representative States," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Latent Bandits Revisited," 2020, arXiv (Cornell University)
  • "Personalization of Large Language Models: A Survey," 2024, arXiv (Cornell University)
  • "Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces," 2024, ACM Transactions on Recommender Systems
  • "Differentiable Bandit Exploration," 2020, arXiv (Cornell University)

Kveton frequently collaborates with other researchers, including:

  • Manzil Zaheer
  • Mohammad Ghavamzadeh
  • Sumeet Katariya
  • Craig Boutilier
  • Joey Hong

The scientist has published extensively in various venues, with a concentration in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • ACM Transactions on Recommender Systems
  • Computer Communications

Best Publications

  • {Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits}

    Branislav Kveton;Zheng Wen;Azin Ashkan;Csaba Szepesvari

  • Cascading Bandits: Learning to Rank in the Cascade Model

    Branislav Kveton;Csaba Szepesvari;Zheng Wen;Azin Ashkan

  • Efficient Thompson sampling for online matrix-factorization recommendation

    Jaya Kawale;Hung Bui;Branislav Kveton;Long Tran Thanh

  • User identification and personalized vehicle settings management system

    Victor B. Lortz;Branislav Kveton;Vijay Sarathi Kesavan;Somya Rathi

  • Matroid bandits: fast combinatorial optimization with learning

    Branislav Kveton;Zheng Wen;Azin Ashkan;Hoda Eydgahi

  • Spectral Bandits for Smooth Graph Functions

    Michal Valko;Remi Munos;Branislav Kveton;Tom Koc k

  • Solving factored MDPs with continuous and discrete variables

    Carlos Guestrin;Milos Hauskrecht;Branislav Kveton

  • When gossip is good: distributed probabilistic inference for detection of slow network intrusions

    Denver Dash;Branislav Kveton;John Mark Agosta;Eve Schooler

  • Optimal greedy diversity for recommendation

    Azin Ashkan;Branislav Kveton;Shlomo Berkovsky;Zheng Wen

  • Online influence maximization under independent cascade model with semi-bandit feedback

    Zheng Wen;Branislav Kveton;Michal Valko;Sharan Vaswani

  • Leveraging side observations in stochastic bandits

    Stéphane Caron;Branislav Kveton;Marc Lelarge;Smriti Bhagat

  • Combinatorial cascading bandits

    Branislav Kveton;Zheng Wen;Azin Ashkan;Csaba Szepesvári

  • Efficient Learning in Large-Scale Combinatorial Semi-Bandits

    Zheng Wen;Branislav Kveton;Azin Ashkan

  • How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data

    Salman Salamatian;Amy Zhang;Flavio Du Pin Calmon;Sandilya Bhamidipati

  • Linear Program Approximations for Factored Continuous-State Markov Decision Processes

    Milos Hauskrecht;Branislav Kveton

  • Cascading bandits for large-scale recommendation problems

    Shi Zong;Hao Ni;Kenny Sung;Nan Rosemary Ke

  • Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy

    Salman Salamatian;Amy Zhang;Flavio du Pin Calmon;Sandilya Bhamidipati

  • Solving factored MDPs with hybrid state and action variables

    Branislav Kveton;Milos Hauskrecht;Carlos Guestrin

  • DCM bandits: learning to rank with multiple clicks

    Sumeet Katariya;Branislav Kveton;Csaba Szepesvári;Zheng Wen

  • Online learning to rank in stochastic click models

    Masrour Zoghi;Tomas Tunys;Mohammad Ghavamzadeh;Branislav Kveton

  • Inferring Identity Using Accelerometers in Television Remote Controls

    Keng-Hao Chang;Jeffrey Hightower;Branislav Kveton

  • Bernoulli Rank-1 Bandits for Click Feedback

    Sumeet Katariya;Branislav Kveton;Csaba Szepesvári;Claire Vernade

  • Leveraging Side Observations in Stochastic Bandits

    Stephane Caron;Branislav Kveton;Marc Lelarge;Smriti Bhagat

  • Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits

    Branislav Kveton;Zheng Wen;Azin Ashkan;Csaba Szepesvari

  • Randomized Exploration in Generalized Linear Bandits

    Branislav Kveton;Manzil Zaheer;Csaba Szepesvári;Lihong Li

Frequent Co-Authors

Csaba Szepesvári
Csaba Szepesvári University of Alberta
Mohammad Ghavamzadeh
Mohammad Ghavamzadeh Amazon (United States)
Craig Boutilier
Craig Boutilier Google (United States)
Shlomo Berkovsky
Shlomo Berkovsky Macquarie University
Nina Taft
Nina Taft Google (United States)
Amr Ahmed
Amr Ahmed University of Nottingham Malaysia Campus
Carlos Guestrin
Carlos Guestrin Stanford University
Mark Schmidt
Mark Schmidt University of British Columbia
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Christophe Diot
Christophe Diot Google (United States)

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