World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7099
World Ranking
7642
National Ranking
3310

Andrew McGregor 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 Andrew McGregor 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Andrew McGregor 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 Andrew McGregor 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: 44 D-Index — 48th percentile

48% 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

  • 2020 - ACM Distinguished Member

Overview

Andrew McGregor is affiliated with the University of Massachusetts Amherst in the United States and has contributed extensively to the field of computer science. Their research portfolio includes 65 publications primarily in computer science, with significant work in subfields such as artificial intelligence, computer networks and communications, computational theory and mathematics, signal processing, and management science and operations research.

Their research topics cover a diverse range of areas. Key topics include complexity and algorithms in graphs, machine learning and algorithms, algorithms and data compression, privacy-preserving technologies in data, data management and algorithms, advanced clustering algorithms research, and network security and intrusion detection.

Andrew McGregor has contributed articles to various publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • IEEE Transactions on Information Theory
  • Algorithmica
  • Journal of Applied Clinical Medical Physics

Recent papers authored by or with contribution from Andrew McGregor include:

  • Correlation Clustering in Data Streams, 2021, Algorithmica
  • Prostate SBRT using O-Ring Halcyon Linac - Plan quality, delivery efficiency, and accuracy, 2020, Journal of Applied Clinical Medical Physics
  • Trace Reconstruction: Generalized and Parameterized, 2021, IEEE Transactions on Information Theory
  • Diverse Data Selection under Fairness Constraints, 2020, arXiv (Cornell University)
  • Maximum Coverage in Random-Arrival Streams, 2023, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Coauthorship patterns reveal collaborations with several researchers, among the most frequent coauthors are:

  • Raghavendra Addanki
  • David Tench
  • Phillipa Gill
  • Alexandra Meliou
  • Zafeiria Moumoulidou

Andrew McGregor was recognized as an ACM Distinguished Member in 2020.

Best Publications

  • On graph problems in a semi-streaming model

    Joan Feigenbaum;Sampath Kannan;Andrew McGregor;Siddharth Suri

  • Graph stream algorithms: a survey

    Andrew McGregor

  • Optimizing linear counting queries under differential privacy

    Chao Li;Michael Hay;Vibhor Rastogi;Gerome Miklau

  • Graph sketches: sparsification, spanners, and subgraphs

    Kook Jin Ahn;Sudipto Guha;Andrew McGregor

  • Analyzing graph structure via linear measurements

    Kook Jin Ahn;Sudipto Guha;Andrew McGregor

  • Estimating statistical aggregates on probabilistic data streams

    T. S. Jayram;Andrew McGregor;S. Muthukrishnan;Erik Vee

  • The Limits of Two-Party Differential Privacy.

    Andrew McGregor;Ilya Mironov;Toniann Pitassi;Omer Reingold

  • A platform for scalable one-pass analytics using MapReduce

    Boduo Li;Edward Mazur;Yanlei Diao;Andrew McGregor

  • Approximation algorithms for clustering uncertain data

    Graham Cormode;Andrew McGregor

  • Finding graph matchings in data streams

    Andrew McGregor

  • AutoMan: a platform for integrating human-based and digital computation

    Daniel W. Barowy;Charlie Curtsinger;Emery D. Berger;Andrew McGregor

  • Streaming and sublinear approximation of entropy and information distances

    Sudipto Guha;Andrew McGregor;Suresh Venkatasubramanian

  • Graph Distances in the Data-Stream Model

    Joan Feigenbaum;Sampath Kannan;Andrew McGregor;Siddharth Suri

  • Reconstructing strings from random traces

    Tuǧkan Batu;Sampath Kannan;Sanjeev Khanna;Andrew McGregor

  • Graph distances in the streaming model: the value of space

    Joan Feigenbaum;Sampath Kannan;Andrew McGregor;Siddharth Suri

  • The matrix mechanism: optimizing linear counting queries under differential privacy

    Chao Li;Gerome Miklau;Michael Hay;Andrew Mcgregor

  • A near-optimal algorithm for computing the entropy of a stream

    Amit Chakrabarti;Graham Cormode;Andrew McGregor

  • Spatial scan statistics: approximations and performance study

    Deepak Agarwal;Andrew McGregor;Jeff M. Phillips;Suresh Venkatasubramanian

  • Stream Order and Order Statistics: Quantile Estimation in Random-Order Streams

    Sudipto Guha;Andrew McGregor

  • Kernelization via sampling with applications to finding matchings and related problems in dynamic graph streams

    Rajesh Chitnis;Graham Cormode;Hossein Esfandiari;MohammadTaghi Hajiaghayi

  • AutoMan: a platform for integrating human-based and digital computation

    Daniel W. Barowy;Charlie Curtsinger;Emery D. Berger;Andrew McGregor

Frequent Co-Authors

Graham Cormode
Graham Cormode University of Warwick
Sudipto Guha
Sudipto Guha University of Pennsylvania
Sampath Kannan
Sampath Kannan University of Pennsylvania
Akshay Krishnamurthy
Akshay Krishnamurthy Microsoft (United States)
Alexander Barg
Alexander Barg University of Maryland, College Park
Olgica Milenkovic
Olgica Milenkovic University of Illinois at Urbana-Champaign
Sergei Vassilvitskii
Sergei Vassilvitskii Google (United States)
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University

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