World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
8297
World Ranking
10537
National Ranking
659

Milan Vojnovic 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 Milan Vojnovic 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: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Milan Vojnovic 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 Milan Vojnovic 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Milan Vojnovic is affiliated with the London School of Economics and Political Science in the United Kingdom. Their research spans the fields of Computer Science and Decision Sciences, with a strong focus on specialized subfields and topics within these disciplines.

The main subfields of study include Management Science and Operations Research, Computer Networks and Communications, Artificial Intelligence, Statistics and Probability, and Computational Theory and Mathematics. Their primary research topics cover Advanced Bandit Algorithms Research, Optimization and Search Problems, Auction Theory and Applications, Complexity and Algorithms in Graphs, Stochastic Gradient Optimization Techniques, Complex Network Analysis Techniques, and Age of Information Optimization.

Frequent venues where their work has been published include:

  • arXiv (Cornell University)
  • Operations Research
  • Management Science
  • Distributed Computing
  • Archives of Acoustics

Recent papers authored or co-authored by Milan Vojnovic include:

  • "Adaptive Matching for Expert Systems with Uncertain Task Types," 2020, Operations Research
  • "A Test Score-Based Approach to Stochastic Submodular Optimization," 2020, Management Science
  • "Communication complexity of approximate maximum matching in the message-passing model," 2020, Distributed Computing
  • "Accelerated MM Algorithms for Inference of Ranking Scores from Comparison Data," 2022, Operations Research
  • "On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits," 2022, arXiv (Cornell University)

Notable frequent co-authors in Milan Vojnovic's network are:

  • Se-Young Yun
  • Daniel Haimovich
  • Dima Karamshuk
  • Jung-hun Kim
  • Dabeen Lee

The research contributions reflect a focus on both theoretical and practical aspects of algorithms, optimization, and decision-making under uncertainty. The work in bandit algorithms and auction theory covers areas that intersect machine learning, economics, and networked systems.

Best Publications

  • QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

    Dan Alistarh;Demjan Grubic;Jerry Z. Li;Ryota Tomioka

  • Power Law and Exponential Decay of Intercontact Times between Mobile Devices

    T Karagiannis;J.-Y. Le Boudec;Milan Vojnović

  • Power law and exponential decay of inter contact times between mobile devices

    Thomas Karagiannis;Jean-Yves Le Boudec;Milan Vojnović

  • Perfect simulation and stationarity of a class of mobility models

    J.-Y. Le Boudec;M. Vojnovic

  • FENNEL: streaming graph partitioning for massive scale graphs

    Charalampos Tsourakakis;Christos Gkantsidis;Bozidar Radunovic;Milan Vojnovic

  • Crowdsourcing and all-pay auctions

    Dominic DiPalantino;Milan Vojnovic

  • Coupon replication systems

    Laurent Massoulié;Milan Vojnovic

  • Social tags: meaning and suggestions

    Fabian M. Suchanek;Milan Vojnovic;Dinan Gunawardena

  • The random trip model: stability, stationary regime, and perfect simulation

    Jean-Yves Le Boudec;Milan Vojnovic

  • Planet scale software updates

    Christos Gkantsidis;Thomas Karagiannis;Milan VojnoviC

  • Balanced graph edge partition

    Florian Bourse;Marc Lelarge;Milan Vojnovic

  • Global fairness of additive-increase and multiplicative-decrease with heterogeneous round-trip times

    M. Vojnovic;J.-Y. Le Boudec;C. Boutremans

  • Parallel TCP Sockets: Simple Model, Throughput and Validation

    E. Altman;D. Barman;B. Tuffin;M. Vojnovic

  • Perfect Simulations for Random Trip Mobility Models

    Santashil PalChaudhuri;Jean-Yves Le Boudec;Milan Vojnovic

  • Efficient queue management for cluster scheduling

    Jeff Rasley;Konstantinos Karanasos;Srikanth Kandula;Rodrigo Fonseca

  • Using Three States for Binary Consensus on Complete Graphs

    E. Perron;D. Vasudevan;M. Vojnovic

  • Convergence Speed of Binary Interval Consensus

    Moez Draief;Milan Vojnović

  • Fast and Exact Majority in Population Protocols

    Dan Alistarh;Rati Gelashvili;Milan Vojnović

  • Rethinking the ESP game

    Stephen Robertson;Milan Vojnovic;Ingmar Weber

  • QSGD: Randomized Quantization for Communication-Optimal Stochastic Gradient Descent

    Dan Alistarh;Jerry Li;Ryota Tomioka;Milan Vojnovic

  • QSGD: Communication-Optimal Stochastic Gradient Descent, with Applications to Training Neural Networks

    Dan Alistarh;Demjan Grubic;Jerry Li;Ryota Tomioka

Frequent Co-Authors

Jean-Yves Le Boudec
Jean-Yves Le Boudec École Polytechnique Fédérale de Lausanne
Thomas Karagiannis
Thomas Karagiannis Microsoft (United States)
Dan Alistarh
Dan Alistarh Institute of Science and Technology Austria
Christos Gkantsidis
Christos Gkantsidis Microsoft (United States)
Laurent Massoulié
Laurent Massoulié French Institute for Research in Computer Science and Automation - INRIA
Yoram Bachrach
Yoram Bachrach DeepMind (United Kingdom)
Ryota Tomioka
Ryota Tomioka Microsoft (United States)
Alexandre Proutiere
Alexandre Proutiere Royal Institute of Technology
Fabian M. Suchanek
Fabian M. Suchanek Télécom ParisTech
Éva Tardos
Éva Tardos Cornell University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring flexible online degrees is an excellent way to start or advance your career in computer science. Many students look for programs that fit their schedules and budgets, while also providing in-demand skills.

If you’re looking to complete your education quickly, consider the shortest masters degree options available online. These accelerated paths let you graduate in as little as a year, helping you join the workforce or boost your current job prospects sooner.

Demand for computer science skills is high, so choosing among the most in demand masters degrees can give you a competitive edge. Specialized programs in areas like artificial intelligence and data analytics are especially valuable.

Not ready for a master’s degree? Start with online associate degree programs in computer science, which offer a solid foundation and can be completed in two years or less.

Concerned about costs? There are many cheapest online colleges providing accredited degrees in computer science, making high-quality education more accessible.

Best Scientists Citing Milan Vojnovic

Trending Scientists

Recently Published Articles