World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
9176
World Ranking
11014
National Ranking
4584

Andrew Pavlo 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 Pavlo 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Andrew Pavlo 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 Pavlo 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: 36 D-Index — 23rd percentile

23% 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

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Andrew Pavlo is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science, focusing on areas such as computer networks and communications, information systems, and artificial intelligence. Their research spans several subfields including information systems and management, as well as signal processing.

The main topics covered in Pavlo's work involve advanced data storage technologies, cloud computing and resource management, distributed systems and fault tolerance, advanced database systems and queries, software system performance and reliability, data stream mining techniques, and distributed and parallel computing systems.

Pavlo has published numerous papers in well-known venues, with a concentration on these publication outlets:

  • Proceedings of the VLDB Endowment
  • arXiv (Cornell University)
  • ACM SIGMOD Record
  • Communications of the ACM
  • Proceedings of the 2022 International Conference on Management of Data

Recent notable publications by Pavlo include:

  • "Make your database system dream of electric sheep," 2021, Proceedings of the VLDB Endowment
  • "An inquiry into machine learning-based automatic configuration tuning services on real-world database management systems," 2021, Proceedings of the VLDB Endowment
  • "The Seattle Report on Database Research," 2020, ACM SIGMOD Record
  • "The Seattle report on database research," 2022, Communications of the ACM
  • "An Empirical Evaluation of Columnar Storage Formats," 2023, Proceedings of the VLDB Endowment

Pavlo has collaborated frequently with several co-authors, including:

  • Matthew Butrovich
  • Wan Shen Lim
  • Jignesh M. Patel
  • William Zhang
  • Huanchen Zhang

In recognition of their work, Pavlo was named a Fellow of the Alfred P. Sloan Foundation in 2018.

Best Publications

  • A comparison of approaches to large-scale data analysis

    Andrew Pavlo;Erik Paulson;Alexander Rasin;Daniel J. Abadi

  • H-store: a high-performance, distributed main memory transaction processing system

    Robert Kallman;Hideaki Kimura;Jonathan Natkins;Andrew Pavlo

  • MapReduce and parallel DBMSs: friends or foes?

    Michael Stonebraker;Daniel Abadi;David J. DeWitt;Sam Madden

  • Automatic Database Management System Tuning Through Large-scale Machine Learning

    Dana Van Aken;Andrew Pavlo;Geoffrey J. Gordon;Bohan Zhang

  • OLTP-Bench: an extensible testbed for benchmarking relational databases

    Djellel Eddine Difallah;Andrew Pavlo;Carlo Curino;Philippe Cudre-Mauroux

  • Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems

    Andrew Pavlo;Carlo Curino;Stanley Zdonik

  • Staring into the abyss: an evaluation of concurrency control with one thousand cores

    Xiangyao Yu;George Bezerra;Andrew Pavlo;Srinivas Devadas

  • Let's Talk About Storage & Recovery Methods for Non-Volatile Memory Database Systems

    Joy Arulraj;Andrew Pavlo;Subramanya R. Dulloor

  • Self-Driving Database Management Systems.

    Andrew Pavlo;Gustavo Angulo;Joy Arulraj;Haibin Lin

  • What's Really New with NewSQL?

    Andrew Pavlo;Matthew Aslett

  • Query-based Workload Forecasting for Self-Driving Database Management Systems

    Lin Ma;Dana Van Aken;Ahmed Hefny;Gustavo Mezerhane

  • E-store: fine-grained elastic partitioning for distributed transaction processing systems

    Rebecca Taft;Essam Mansour;Marco Serafini;Jennie Duggan

  • An empirical evaluation of in-memory multi-version concurrency control

    Yingjun Wu;Joy Arulraj;Jiexi Lin;Ran Xian

  • TicToc: Time Traveling Optimistic Concurrency Control

    Xiangyao Yu;Andrew Pavlo;Daniel Sanchez;Srinivas Devadas

  • SuRF: Practical Range Query Filtering with Fast Succinct Tries

    Huanchen Zhang;Hyeontaek Lim;Viktor Leis;David G. Andersen

  • Anti-caching: a new approach to database management system architecture

    Justin DeBrabant;Andrew Pavlo;Stephen Tu;Michael Stonebraker

  • Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads

    Joy Arulraj;Andrew Pavlo;Prashanth Menon

  • Reducing the Storage Overhead of Main-Memory OLTP Databases with Hybrid Indexes

    Huanchen Zhang;David G. Andersen;Andrew Pavlo;Michael Kaminsky

  • Write-behind logging

    Joy Arulraj;Matthew Perron;Andrew Pavlo

  • An evaluation of distributed concurrency control

    Rachael Harding;Dana Van Aken;Andrew Pavlo;Michael Stonebraker

Frequent Co-Authors

David G. Andersen
David G. Andersen Carnegie Mellon University
Stanley B. Zdonik
Stanley B. Zdonik Brown University
Michael Kaminsky
Michael Kaminsky Carnegie Mellon University
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park
Kimberly Keeton
Kimberly Keeton Google (United States)
Carlo Curino
Carlo Curino Microsoft (United States)

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