World's Best Scientists 2026 revealed!
Samuel Madden

Samuel Madden

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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
109
Citations
64802
World Ranking
234
National Ranking
131

Samuel Madden 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 Samuel Madden 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: 374 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Samuel Madden 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 Samuel Madden 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: 109 D-Index — 98th percentile

98% 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

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2020 - ACM Fellow For contributions to data management and sensor computing systems

Overview

Samuel Madden is affiliated with MIT in the United States and specializes in computer science with a focus on artificial intelligence, computer networks and communications, computer vision and pattern recognition, signal processing, and information systems.

Their work covers a range of main topics including data management and algorithms, advanced database systems and queries, topic modeling, cloud computing and resource management, advanced data storage technologies, distributed systems and fault tolerance, as well as automated road and building extraction.

Samuel Madden has contributed extensively to research literature with 145 publications in computer science. Their frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • Proceedings of the 2022 International Conference on Management of Data
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Among their recent papers are:

  • "Aria" (2020, Proceedings of the VLDB Endowment)
  • "Robust Query Driven Cardinality Estimation under Changing Workloads" (2023, Proceedings of the VLDB Endowment)
  • "RPT" (2021, Proceedings of the VLDB Endowment)
  • "Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning" (2023, Proceedings of the ACM on Management of Data)
  • "FactorJoin: A New Cardinality Estimation Framework for Join Queries" (2023, Proceedings of the ACM on Management of Data)

Samuel Madden collaborates frequently with several coauthors, including Lei Cao, Favyen Bastani, Tim Kraska, Michael Cafarella, and Nan Tang.

In recognition of their contributions, they were awarded the ACM Fellow distinction in 2020 for work related to data management and sensor computing systems.

Best Publications

  • TAG: a Tiny AGgregation service for Ad-Hoc sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • C-store: a column-oriented DBMS

    Mike Stonebraker;Daniel J. Abadi;Adam Batkin;Xuedong Chen

  • TinyDB: an acquisitional query processing system for sensor networks

    Samuel R. Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • TinyOS: An Operating System for Sensor Networks

    Philip Alexander Levis;Samuel Madden;Joseph Polastre;Robert Szewczyk

  • TelegraphCQ: continuous dataflow processing

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • The end of an architectural era: (it's time for a complete rewrite)

    Michael Stonebraker;Samuel Madden;Daniel J. Abadi;Stavros Harizopoulos

  • TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.

    Sirish Chandrasekaran;Owen Cooper;Amol Deshpande;Michael J. Franklin

  • A comparison of approaches to large-scale data analysis

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

  • Model-driven data acquisition in sensor networks

    Amol Deshpande;Carlos Guestrin;Samuel R. Madden;Joseph M. Hellerstein

  • CarTel: a distributed mobile sensor computing system

    Bret Hull;Vladimir Bychkovsky;Yang Zhang;Kevin Chen

  • The pothole patrol: using a mobile sensor network for road surface monitoring

    Jakob Eriksson;Lewis Girod;Bret Hull;Ryan Newton

  • The design of an acquisitional query processor for sensor networks

    Samuel Madden;Michael J. Franklin;Joseph M. Hellerstein;Wei Hong

  • VTrack: accurate, energy-aware road traffic delay estimation using mobile phones

    Arvind Thiagarajan;Lenin Ravindranath;Katrina LaCurts;Samuel Madden

  • Scalable semantic web data management using vertical partitioning

    Daniel J. Abadi;Adam Marcus;Samuel R. Madden;Kate Hollenbach

  • Continuously adaptive continuous queries over streams

    Samuel Madden;Mehul Shah;Joseph M. Hellerstein;Vijayshankar Raman

  • Integrating compression and execution in column-oriented database systems

    Daniel Abadi;Samuel Madden;Miguel Ferreira

  • BlinkDB: queries with bounded errors and bounded response times on very large data

    Sameer Agarwal;Barzan Mozafari;Aurojit Panda;Henry Milner

  • Column-stores vs. row-stores: how different are they really?

    Daniel J. Abadi;Samuel R. Madden;Nabil Hachem

  • Twitinfo: aggregating and visualizing microblogs for event exploration

    Adam Marcus;Michael S. Bernstein;Osama Badar;David R. Karger

  • Fjording the stream: an architecture for queries over streaming sensor data

    S. Madden;M.J. Franklin

Frequent Co-Authors

Eugene Wu
Eugene Wu Columbia University
Daniel J. Abadi
Daniel J. Abadi University of Maryland, College Park
Michael J. Franklin
Michael J. Franklin University of Chicago
Joseph M. Hellerstein
Joseph M. Hellerstein University of California, Berkeley
Nan Tang
Nan Tang Hong Kong University of Science and Technology (Guangzhou)
Alvin Cheung
Alvin Cheung University of California, Berkeley
Amol Deshpande
Amol Deshpande University of Maryland, College Park

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