World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
10499
World Ranking
7455
National Ranking
3248

Rodrigo Fonseca 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 Fonseca 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 107 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

Rodrigo Fonseca 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 Fonseca sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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.

Overview

Rodrigo Fonseca is affiliated with Brown University in the United States and has contributed extensively to the field of computer science. Their research spans multiple subfields, with a primary focus on areas such as computer networks and communications, artificial intelligence, and information systems.

Their scholarly output includes publications in prominent venues, emphasizing both theoretical and applied aspects of computing. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Micro
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • ACS Omega

Rodrigo Fonseca's research topics reflect a breadth in technology domains such as:

  • Cloud Computing and Resource Management
  • Machine Learning and Data Classification
  • Advanced Neural Network Applications
  • Caching and Content Delivery
  • Software System Performance and Reliability
  • Domain Adaptation and Few-Shot Learning
  • Advanced Bandit Algorithms Research

Recent publications demonstrate engagements with both foundational and emerging computational challenges. Selected papers include:

  • "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider" (2020), arXiv (Cornell University)
  • "Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Sample-Efficient Neural Architecture Search by Learning Actions for Monte Carlo Tree Search" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search" (2020), arXiv (Cornell University)

The collaboration network reflects partnerships with multiple researchers frequently contributing in joint research efforts. Notable coauthors include:

  • Ricardo Bianchini
  • Esha Choukse
  • Íñigo Goiri
  • Chetan Bansal
  • Linnan Wang

Best Publications

  • Collection tree protocol

    Omprakash Gnawali;Rodrigo Fonseca;Kyle Jamieson;David Moss

  • X-trace: a pervasive network tracing framework

    Rodrigo Fonseca;George Porter;Randy H. Katz;Scott Shenker

  • Beacon vector routing: scalable point-to-point routing in wireless sensornets

    Rodrigo Fonseca;Sylvia Ratnasamy;Jerry Zhao;Cheng Tien Ee

  • Four-Bit Wireless Link Estimation.

    Rodrigo Fonseca;Omprakash Gnawali;Kyle Jamieson;Philip Alexander Levis

  • A methodology for workload characterization of E-commerce sites

    Daniel A. Menascé;Virgilio A. F. Almeida;Rodrigo Fonseca;Marco A. Mendes

  • Jockey: guaranteed job latency in data parallel clusters

    Andrew D. Ferguson;Peter Bodik;Srikanth Kandula;Eric Boutin

  • Participatory networking: an API for application control of SDNs

    Andrew D. Ferguson;Arjun Guha;Chen Liang;Rodrigo Fonseca

  • Flush: a reliable bulk transport protocol for multihop wireless networks

    Sukun Kim;Rodrigo Fonseca;Prabal Dutta;Arsalan Tavakoli

  • Reliable transfer on wireless sensor networks

    Sukun Kim;R. Fonseca;D. Culler

  • Pivot tracing: dynamic causal monitoring for distributed systems

    Jonathan Mace;Ryan Roelke;Rodrigo Fonseca

  • Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

    Mohammad Shahrad;Rodrigo Fonseca;Íñigo Goiri;Gohar Chaudhry

  • Quanto: tracking energy in networked embedded systems

    Rodrigo Fonseca;Prabal Dutta;Philip Levis;Ion Stoica

  • CTP: An efficient, robust, and reliable collection tree protocol for wireless sensor networks

    Omprakash Gnawali;Rodrigo Fonseca;Kyle Jamieson;Maria Kazandjieva

  • Planck: millisecond-scale monitoring and control for commodity networks

    Jeff Rasley;Brent Stephens;Colin Dixon;Eric Rozner

  • FITing-Tree: A Data-aware Index Structure

    Alex Galakatos;Michael Markovitch;Carsten Binnig;Rodrigo Fonseca

  • Rank-preserving two-level caching for scalable search engines

    Patricia Correia Saraiva;Edleno Silva de Moura;Nivio Ziviani;Wagner Meira

  • In search of invariants for e-business workloads

    Daniel Menascé;Virgílio Almeida;Rudolf Riedi;Flávia Ribeiro

  • Business-oriented resource management policies for e-commerce servers

    Daniel A. Menascé;Virgilio A. F. Almeida;Rodrigo Fonseca;Marco A. Mendes

  • Towards a sensor network architecture: lowering the waistline

    David Culler;Prabal Dutta;Cheng Tien Ee;Rodrigo Fonseca

  • PARMA: a parallel randomized algorithm for approximate association rules mining in MapReduce

    Matteo Riondato;Justin A. DeBrabant;Rodrigo Fonseca;Eli Upfal

Frequent Co-Authors

Virgilio Almeida
Virgilio Almeida Universidade Federal de Minas Gerais
Ion Stoica
Ion Stoica University of California, Berkeley
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais
Daniel A. Menascé
Daniel A. Menascé George Mason University
Scott Shenker
Scott Shenker University of California, Berkeley
David E. Culler
David E. Culler University of California, Berkeley
Philip Levis
Philip Levis Stanford University
Shriram Krishnamurthi
Shriram Krishnamurthi Brown University
Rudolf H. Riedi
Rudolf H. Riedi Rice University
Prabal Dutta
Prabal Dutta University of California, Berkeley

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