World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
8123
World Ranking
9622
National Ranking
25

Rodrigo Rodrigues 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 Rodrigo Rodrigues 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: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Rodrigo Rodrigues 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 Rodrigo Rodrigues 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Rodrigo Rodrigues is affiliated with the Instituto Superior Técnico in Portugal. Their research spans primarily across the fields of Computer Science and Engineering, encompassing a total of 24 publications distributed among these disciplines.

The scientist's work focuses on several subfields of study, including:

  • Computer Networks and Communications
  • Information Systems
  • Artificial Intelligence
  • Mechanical Engineering
  • Ocean Engineering

The main topics Rodrigo Rodrigues has contributed to are:

  • Cloud Computing and Resource Management
  • Advanced Data Storage Technologies
  • Distributed Systems and Fault Tolerance
  • Structural Integrity and Reliability Analysis
  • Marine and Offshore Engineering Studies
  • Data Stream Mining Techniques
  • Machine Learning and Data Classification

Rodrigo Rodrigues has been involved in publications in several venues, including:

  • arXiv (Cornell University)
  • Offshore Technology Conference Brasil
  • Proceedings of the VLDB Endowment
  • IEEE Transactions on Parallel and Distributed Systems
  • Brazilian Journal of Development

Recent papers authored or coauthored by Rodrigo Rodrigues include:

  • "Do the best cloud configurations grow on trees?", 2020, Proceedings of the VLDB Endowment
  • "SconeKV: A Scalable, Strongly Consistent Key-Value Store", 2022, IEEE Transactions on Parallel and Distributed Systems
  • "Aion: Better Late than Never in Event-Time Streams", 2020, arXiv (Cornell University)
  • "Lazy State Determination: More concurrency for contending linearizable transactions", 2020, arXiv (Cornell University)
  • "A Quantitative Methodology to Introduce a Risk-Based Approach for Integrity Management for Jackets in Brazil", 2023, Offshore Technology Conference Brasil

Frequent collaborators in Rodrigo Rodrigues's work include:

  • Marco Serafini
  • João Leitão
  • Nuno Preguiça
  • Ricardo J. Dias
  • Almasa Sarabi

Best Publications

  • Towards trusted cloud computing

    Nuno Santos;Krishna P. Gummadi;Rodrigo Rodrigues

  • Peer-to-peer systems

    Rodrigo Rodrigues;Peter Druschel

  • High availability in DHTs: erasure coding vs. replication

    Rodrigo Rodrigues;Barbara Liskov

  • Efficient routing for peer-to-peer overlays

    Anjali Gupta;Barbara Liskov;Rodrigo Rodrigues

  • HQ replication: a hybrid quorum protocol for byzantine fault tolerance

    James Cowling;Daniel Myers;Barbara Liskov;Rodrigo Rodrigues

  • Incoop: MapReduce for incremental computations

    Pramod Bhatotia;Alexander Wieder;Rodrigo Rodrigues;Umut A. Acar

  • Making geo-replicated systems fast as possible, consistent when necessary

    Cheng Li;Daniel Porto;Allen Clement;Johannes Gehrke

  • High availability, scalable storage, dynamic peer networks: pick two

    Charles Blake;Rodrigo Rodrigues

  • One hop lookups for peer-to-peer overlays

    Anjali Gupta;Barbara Liskov;Rodrigo Rodrigues

  • Using abstraction to improve fault tolerance

    M. Castro;R. Rodrigues;B. Liskov

  • Policy-sealed data: a new abstraction for building trusted cloud services

    Nuno Santos;Rodrigo Rodrigues;Krishna P. Gummadi;Stefan Saroiu

  • BASE: using abstraction to improve fault tolerance

    Rodrigo Rodrigues;Miguel Castro;Barbara Liskov

  • BASE: Using abstraction to improve fault tolerance

    Miguel Castro;Rodrigo Rodrigues;Barbara Liskov

  • Putting consistency back into eventual consistency

    Valter Balegas;Sérgio Duarte;Carla Ferreira;Rodrigo Rodrigues

  • Accountable virtual machines

    Andreas Haeberlen;Paarijaat Aditya;Rodrigo Rodrigues;Peter Druschel

  • Zeno: eventually consistent Byzantine-fault tolerance

    Atul Singh;Pedro Fonseca;Petr Kuznetsov;Rodrigo Rodrigues

  • Shredder: GPU-accelerated incremental storage and computation

    Pramod Bhatotia;Rodrigo Rodrigues;Akshat Verma

  • Orchestrating the deployment of computations in the cloud with conductor

    Alexander Wieder;Pramod Bhatotia;Ansley Post;Rodrigo Rodrigues

  • Automating the choice of consistency levels in replicated systems

    Cheng Li;João Leitão;Allen Clement;Nuno Preguiça

  • Pixida: optimizing data parallel jobs in wide-area data analytics

    Konstantinos Kloudas;Margarida Mamede;Nuno Preguiça;Rodrigo Rodrigues

  • Presented as part of the 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12)

    Alexander Wieder;Pramod Bhatotia;Ansley Post;Rodrigo Rodrigues

Frequent Co-Authors

Peter Druschel
Peter Druschel Max Planck Institute for Software Systems
Johannes Gehrke
Johannes Gehrke Microsoft (United States)
Marc Shapiro
Marc Shapiro Sorbonne University
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Miguel Castro
Miguel Castro Microsoft (United States)
Andreas Haeberlen
Andreas Haeberlen University of Pennsylvania
Petros Maniatis
Petros Maniatis Google (United States)
Viktor Vafeiadis
Viktor Vafeiadis Max Planck Institute for Software Systems

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