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D-Index & Metrics

Computer Science

D-Index
57
Citations
14322
World Ranking
3803
National Ranking
1810

Ricardo Bianchini 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 Ricardo Bianchini 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Ricardo Bianchini 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 Ricardo Bianchini 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: 57 D-Index — 74th percentile

74% 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

  • 2016 - ACM Fellow For contributions to power, energy, and thermal management of servers and datacenters.
  • 2015 - IEEE Fellow For contributions to server and data center energy management
  • 2011 - ACM Distinguished Member
  • 2008 - ACM Senior Member

Overview

Ricardo Bianchini is affiliated with Microsoft in the United States and works primarily in the field of Computer Science. Their research spans several subfields, including Computer Networks and Communications, Information Systems, Hardware and Architecture, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work covers a range of topics with a significant focus on Cloud Computing and Resource Management. Other main research interests include IoT and Edge/Fog Computing, Advanced Data Storage Technologies, Parallel Computing and Optimization Techniques, Distributed and Parallel Computing Systems, Caching and Content Delivery, and Blockchain Technology Applications and Security.

Some of the recent papers authored or co-authored by Ricardo Bianchini include:

  • Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (2020, arXiv (Cornell University))
  • CPU Overclocking: A Performance Assessment of Air, Cold Plates, and Two-Phase Immersion Cooling (2021, IEEE Transactions on Components Packaging and Manufacturing Technology)
  • Toward ML-centric cloud platforms (2020, Communications of the ACM)
  • Design Tradeoffs in CXL-Based Memory Pools for Public Cloud Platforms (2023, IEEE Micro)
  • Using life cycle assessment to drive innovation for sustainable cool clouds (2025, Nature)

Frequent collaborators in Bianchini's research include:

  • Íñigo Goiri
  • Rodrigo Fonseca
  • Esha Choukse
  • Brijesh Warrier
  • Marcus Fontoura

The scientist publishes often in several venues, with the most frequent being arXiv (Cornell University), followed by IEEE Micro. Other venues include IEEE Transactions on Components Packaging and Manufacturing Technology, Communications of the ACM, and Nature.

Ricardo Bianchini has received several recognitions relevant to their contributions in computing and energy management, including:

  • ACM Fellow in 2016 for contributions to power, energy, and thermal management of servers and datacenters
  • IEEE Fellow in 2015 for contributions to server and data center energy management
  • ACM Distinguished Member in 2011
  • ACM Senior Member in 2008

Best Publications

  • Load balancing and unbalancing for power and performance in cluster-based systems

    Eduardo Pinheiro;Ricardo Bianchini;Enrique V. Carrera;Taliver Heath

  • Power and energy management for server systems

    R. Bianchini;R. Rajamony

  • Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms

    Eli Cortez;Anand Bonde;Alexandre Muzio;Mark Russinovich

  • The MIT Alewife machine: architecture and performance

    Anant Agarwal;Ricardo Bianchini;David Chaiken;Kirk L. Johnson

  • Page placement in hybrid memory systems

    Luiz E. Ramos;Eugene Gorbatov;Ricardo Bianchini

  • Conserving disk energy in network servers

    Enrique V. Carrera;Eduardo Pinheiro;Ricardo Bianchini

  • Energy conservation techniques for disk array-based servers

    Eduardo Pinheiro;Ricardo Bianchini

  • Energy conservation in heterogeneous server clusters

    Taliver Heath;Bruno Diniz;Enrique V. Carrera;Wagner Meira

  • GreenHadoop: leveraging green energy in data-processing frameworks

    Íñigo Goiri;Kien Le;Thu D. Nguyen;Jordi Guitart

  • Energy conservation techniques for disk array-based servers

    Unknown

  • GreenSlot: scheduling energy consumption in green datacenters

    Íñigo Goiri;Kien Le;Md. E. Haque;Ryan Beauchea

  • Dynamic cluster reconfiguration for power and performance

    Eduardo Pinheiro;Ricardo Bianchini;Enrique V. Carrera;Taliver Heath

  • MemScale: active low-power modes for main memory

    Qingyuan Deng;David Meisner;Luiz Ramos;Thomas F. Wenisch

  • DeepDive: transparently identifying and managing performance interference in virtualized environments

    Dejan Novaković;Nedeljko Vasić;Stanko Novaković;Dejan Kostić

  • Pond: CXL-Based Memory Pooling Systems for Cloud Platforms

    Unknown

  • Parasol and GreenSwitch: managing datacenters powered by renewable energy

    Íñigo Goiri;William Katsak;Kien Le;Thu D. Nguyen

  • Mercury and freon: temperature emulation and management for server systems

    Taliver Heath;Ana Paula Centeno;Pradeep George;Luiz Ramos

  • Reducing electricity cost through virtual machine placement in high performance computing clouds

    Kien Le;Ricardo Bianchini;Jingru Zhang;Yogesh Jaluria

  • CoScale: Coordinating CPU and Memory System DVFS in Server Systems

    Qingyuan Deng;David Meisner;Abhishek Bhattacharjee;Thomas F. Wenisch

  • DejaVu: accelerating resource allocation in virtualized environments

    Nedeljko Vasić;Dejan Novaković;Svetozar Miučin;Dejan Kostić

  • ApproxHadoop: Bringing Approximations to MapReduce Frameworks

    Inigo Goiri;Ricardo Bianchini;Santosh Nagarakatte;Thu D. Nguyen

  • Capping the brown energy consumption of Internet services at low cost

    Kien Le;Ricardo Bianchini;Thu D. Nguyen;Ozlem Bilgir

Frequent Co-Authors

Thu D. Nguyen
Thu D. Nguyen Rutgers, The State University of New Jersey
Íñigo Goiri
Íñigo Goiri Google (United States)
Richard P. Martin
Richard P. Martin Rutgers, The State University of New Jersey
Frederic T. Chong
Frederic T. Chong University of Chicago
Dejan Kostic
Dejan Kostic Royal Institute of Technology
Jie Liu
Jie Liu Harbin Institute of Technology
Willy Zwaenepoel
Willy Zwaenepoel University of Sydney
Sameh Elnikety
Sameh Elnikety Microsoft (United States)
Wagner Meira
Wagner Meira Universidade Federal de Minas Gerais

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