World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
39
Citations
7625
World Ranking
2158
National Ranking
132

Engineering and Technology

D-Index
43
Citations
9024
World Ranking
6057
National Ranking
127

Konstantin Avrachenkov publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Konstantin Avrachenkov sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 272 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Konstantin Avrachenkov D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Konstantin Avrachenkov sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 39 D-Index — 41st percentile

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

The last bar groups every scientist with 86 D-Index or more.

Overview

Konstantin Avrachenkov is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research largely spans the domain of computer science with a focus on areas such as artificial intelligence, statistical and nonlinear physics, management science and operations research, computer networks and communications, and computational theory and mathematics.

The body of work includes a significant number of publications centered on complex network analysis techniques, advanced bandit algorithms research, opinion dynamics and social influence, reinforcement learning in robotics, smart grid energy management, advanced graph neural networks, and game theory and applications. These topics represent a broad spectrum of contemporary computational and mathematical challenges addressed in the scientist's research.

Frequent collaborators include Vivek S. Borkar, Lasse Leskelä, Maximilien Dreveton, Phil Howlett, and B. R. Vinay Kumar, indicating ongoing cooperative research efforts across multiple projects and publications.

Key publication venues that have featured this scientist's work are:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Measurement and Analysis of Computing Systems
  • ACM SIGMETRICS Performance Evaluation Review
  • Performance Evaluation
  • Queueing Systems

Some notable recent papers by Konstantin Avrachenkov include:

  • Whittle index based Q-learning for restless bandits with average reward, 2022, Automatica
  • Cliques in high-dimensional random geometric graphs, 2020, Applied Network Science
  • QWI, 2022, ACM SIGMETRICS Performance Evaluation Review
  • Influence Maximization in Dynamic Networks Using Reinforcement Learning, 2024, SN Computer Science
  • Learning to count: A deep learning framework for graphlet count estimation, 2020, Network Science

Best Publications

  • Cooperative Game Theory Approaches for Network Partitioning

    Konstantin E. Avrachenkov;Aleksei Yu. Kondratev;Vladimir V. Mazalov

  • A stochastic model of TCP/IP with stationary random losses

    Eitan Altman;Konstantin Avrachenkov;Chadi Barakat

  • 2014 IEEE International Conference on Data Mining

    Aleksandr Aravkin;Aurelie Lozano;Ronny Luss;Prabhajan Kambadur

  • Monte Carlo Methods in PageRank Computation: When One Iteration is Sufficient

    K. Avrachenkov;N. Litvak;D. Nemirovsky;N. Osipova

  • TCP in presence of bursty losses

    Eitan Altman;Konstantin Avrachenkov;Chadi Barakat

  • The effect of new links on Google Pagerank

    Konstantin Avrachenkov;Nelly Litvak

  • Differentiation between short and long TCP flows: predictability of the response time

    K. Avrachenkovt;U. Ayesta;P. Brown;E. Nyberg

  • A survey on discriminatory processor sharing

    Eitan Altman;Konstantin Avrachenkov;Urtzi Ayesta

  • A jamming game in wireless networks with transmission cost

    Eitan Altman;Konstantin Avrachenkov;Andrey Garnaev

  • Perturbation analysis for denumerable Markov chains with application to queueing models

    Eitan Altman;Konstantin E. Avrachenkov;Rudesindo Núñez-Queija

  • Fuzzy Markov Chains and Decision-Making

    Konstantin E. Avrachenkov;Elie Sanchez

  • Improving Random Walk Estimation Accuracy with Uniform Restarts

    Konstantin Avrachenkov;Bruno F. Ribeiro;Donald F. Towsley

  • Analytic Perturbation Theory and Its Applications

    Konstantin E. Avrachenkov;Jerzy A. Filar;Phil G. Howlett

  • Priority queueing with finite buffer size and randomized push-out mechanism

    Konstantin E. Avrachenkov;Nikita O. Vilchevsky;Georgy L. Shevlyakov

  • Generalized α-fair resource allocation in wireless networks

    E. Altman;K. Avrachenkov;A. Garnaev

  • State-dependent M/G/1 type queueing analysis for congestion control in data networks

    Eitan Altman;Kostya Avrachenkov;Chadi Barakat;Rudesindo Núñez-Queija

  • Early Retransmit for TCP and Stream Control Transmission Protocol (SCTP)

    Urtzi Ayesta;Konstantin Avrachenkov;Per Hurtig;Mark Allman

  • Fairness in MIMD Congestion Control Algorithms

    E. Altman;K. E. Avrachenkov;B. J. Prabhu

  • Constrained cost-coupled stochastic games with independent state processes

    Eitan Altman;Konstantin Avrachenkov;Nicolas Bonneau;Merouane Debbah

  • Jamming in wireless networks under uncertainty

    Eitan Altman;Konstantin Avrachenkov;Andrey Garnaev

  • Iterative learning control based on quasi-Newton methods

    K.E. Avrachenkov

  • Discriminatory processor sharing revisited

    K. Avrachenkov;U. Ayesta;P. Brown;R. Nunez-Queija

  • Constrained Cost-Coupled Stochastic Games with Independent State Processes

    E. Altman;K. Avrachenkov;N. Bonneau;M. Debbah

  • Perturbation analysis for denumerable Markov chains with application to queueing models

    E. Altman;K.E. Avrachenkov;R. Núñez Queija

Frequent Co-Authors

Eitan Altman
Eitan Altman French Institute for Research in Computer Science and Automation - INRIA
Vivek S. Borkar
Vivek S. Borkar Indian Institute of Technology Bombay
Jeremie Leguay
Jeremie Leguay Huawei Technologies (China)
Don Towsley
Don Towsley University of Massachusetts Amherst
Uri Yechiali
Uri Yechiali Tel Aviv University
Philippe Nain
Philippe Nain French Institute for Research in Computer Science and Automation - INRIA
Jean B. Lasserre
Jean B. Lasserre Laboratory for Analysis and Architecture of Systems
Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Merouane Debbah
Merouane Debbah Khalifa University
Richard W. Longman
Richard W. Longman Columbia University

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