World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
23172
World Ranking
2999
National Ranking
1469

Azer Bestavros 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 Azer Bestavros 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: 343 publications — 81st percentile

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

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

Azer Bestavros 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 Azer Bestavros 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: 61 D-Index — 79th percentile

79% 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

  • 2007 - ACM Senior Member

Overview

Azer Bestavros is affiliated with Boston University in the United States. Their research spans multiple fields within computer science and economics, with a focus on interdisciplinary applications involving technology and economic theory. They have published work primarily in areas that combine computational methods with economic models and systems analysis.

Research topics covered by Azer Bestavros include:

  • Game Theory and Applications
  • Economic theories and models
  • Complex Systems and Time Series Analysis
  • Cloud Computing and Resource Management
  • Parallel Computing and Optimization Techniques
  • IoT and Edge/Fog Computing

Main fields of study associated with their research are:

  • Computer Science
  • Economics, Econometrics and Finance

The subfields of study where their publications have been categorized include:

  • Economics and Econometrics
  • Management Science and Operations Research
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

Azer Bestavros has coauthored publications with several researchers, including:

  • Zhenpeng Shi
  • Ariel Orda
  • David Starobinski
  • Esmail Asyabi
  • Renato Mancuso

Their recent papers include the following:

  • "A Game-Theoretic Analysis of Shared/Buy-in Computing Systems," 2020, IEEE Open Journal of the Communications Society
  • "Akita: A CPU scheduler for virtualized Clouds," 2020, arXiv (Cornell University)

Most publications appear in venues such as:

  • IEEE Open Journal of the Communications Society
  • arXiv (Cornell University)

In 2007, Azer Bestavros was recognized as an ACM Senior Member, reflecting their standing within the computing community.

Best Publications

  • Self-similarity in World Wide Web traffic: evidence and possible causes

    Mark E. Crovella;Azer Bestavros

  • SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks

    Georgios Smaragdakis;Ibrahim Matta;Azer Bestavros

  • Method and apparatus for reliable and scalable distribution of data files in distributed networks

    Vijay R. Basani;Krishna Mangiapudi;Lynne M. Murach;Leroy R. Karge

  • Characteristics of WWW Client-based Traces

    Carlos Cunha;Azer Bestavros;Mark Crovella

  • A hierarchical characterization of a live streaming media workload

    Eveline Veloso;Virgílio Almeida;Wagner Meira;Azer Bestavros

  • Characterizing reference locality in the WWW

    V. Almeida;A. Bestavros;M. Crovella;A. de Oliveira

  • Heavy-tailed probability distributions in the World Wide Web

    Mark E. Crovella;Murad S. Taqqu;Azer Bestavros

  • Changes in Web client access patterns: Characteristics and caching implications

    Paul Barford;Azer Bestavros;Adam Bradley;Mark Crovella

  • Method and apparatus for dynamic resource discovery and information distribution in a data network

    Vijay R. Basani;Krishna Mangipudi;Lynne M. Murach;Leroy R. Karge

  • Reinforcement Learning for UAV Attitude Control

    William Koch;Renato Mancuso;Richard West;Azer Bestavros

  • Explaining World Wide Web Traffic Self-Similarity

    Mark Crovella;Azer Bestavros

  • Method and apparatus for election of group leaders in a distributed network

    Vijay R. Basani;Krishna Mangipudi;Lynne M. Murach;Leroy R. Karge

  • Application-level document caching in the Internet

    A. Bestavros;R.L. Carter;M.E. Crovella;C.R. Cunha

  • GreedyDual* Web caching algorithm: exploiting the two sources of temporal locality in Web request streams

    Shudong Jin;Azer Bestavros

  • Speculative data dissemination and service to reduce server load, network traffic and service time in distributed information systems

    A. Bestavros

  • Statistical rate monotonic scheduling

    A. Atlas;A. Bestavros

  • On the marginal utility of network topology measurements

    Paul Barford;Azer Bestavros;John Byers;Mark Crovella

  • Using speculation to reduce server load and service time on the WWW

    Azer Bestavros

  • Popularity-aware greedy dual-size Web proxy caching algorithms

    Shudong Jin;A. Bestavros

  • Exploiting the transients of adaptation for RoQ attacks on Internet resources

    M. Guirguis;A. Bestavros;I. Matta

Frequent Co-Authors

Ibrahim Matta
Ibrahim Matta Boston University
Mark Crovella
Mark Crovella Boston University
John W. Byers
John W. Byers Boston University
Nikolaos Laoutaris
Nikolaos Laoutaris Madrid Institute for Advanced Studies
Georgios Smaragdakis
Georgios Smaragdakis Delft University of Technology
Evimaria Terzi
Evimaria Terzi Boston University
Paul Barford
Paul Barford University of Wisconsin–Madison
Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Sang H. Son
Sang H. Son University of Virginia
Kwei-Jay Lin
Kwei-Jay Lin University of California, Irvine

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