World's Best Scientists 2026 revealed!
Parthasarathy Ranganathan

Parthasarathy Ranganathan

D-Index & Metrics

Computer Science

D-Index
77
Citations
23414
World Ranking
1277
National Ranking
675

Parthasarathy Ranganathan 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 Parthasarathy Ranganathan 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Parthasarathy Ranganathan 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 Parthasarathy Ranganathan 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: 77 D-Index — 91st percentile

91% 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

  • 2014 - ACM Fellow For contributions to the areas of energy efficiency and server architectures.
  • 2011 - ACM Distinguished Member
  • 2006 - ACM Senior Member

Overview

Parthasarathy Ranganathan is affiliated with Google in the United States and has a multidisciplinary research portfolio spanning computer science and medicine. Their work integrates themes from advanced computing systems to health and biological studies.

Their research primarily focuses on computer science with significant contributions to subfields such as computer networks and communications, information systems, electrical and electronic engineering, and industrial and manufacturing engineering. Moreover, their work extends into medicine, addressing pathology and forensic medicine.

Key topics in their research include cloud computing and resource management, parallel computing and optimization techniques, alcohol consumption and health effects, liver disease diagnosis and treatment, diet and metabolism studies, and advanced manufacturing and logistics optimization. Scheduling and optimization algorithms also form a recurrent theme.

Frequent co-authors associated with Parthasarathy Ranganathan are:

  • Vatsalya Vatsalya
  • Melanie L. Schwandt
  • Milad Hashemi
  • Amor J. Royer
  • Maiying Kong

The scientist has published extensively in several notable venues. These include:

  • arXiv (Cornell University)
  • IEEE Micro
  • Communications of the ACM
  • International Journal of Molecular Sciences
  • Preprints.org

Recent publications reflect a combination of computing and medical science research:

  • Learning Performance-Improving Code Edits, 2023, arXiv (Cornell University)
  • AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers, 2020, IEEE Micro
  • Association of Hypomagnesemia and Liver Injury, Role of Gut-Barrier Dysfunction and Inflammation: Efficacy of Abstinence, and 2-Week Medical Management in Alcohol Use Disorder Patients, 2022, International Journal of Molecular Sciences
  • The Importance of Generalizability in Machine Learning for Systems, 2024, IEEE Computer Architecture Letters
  • Illustration of Gut-Thyroid Axis in Alcohol Use Disorder: Interplay of Gut Dysfunction, Pro-Inflammatory Responses, and Thyroid Function, 2022, Cells

Parthasarathy Ranganathan has received recognition within the computing community through awards that include:

  • ACM Fellow, 2014, for contributions to the areas of energy efficiency and server architectures
  • ACM Distinguished Member, 2011
  • ACM Senior Member, 2006

Best Publications

  • Single-ISA heterogeneous multi-core architectures: the potential for processor power reduction

    Rakesh Kumar;Keith I. Farkas;Norman P. Jouppi;Parthasarathy Ranganathan

  • Making scheduling cool: temperature-aware workload placement in data centers

    Justin Moore;Jeff Chase;Parthasarathy Ranganathan;Ratnesh Sharma

  • No "power" struggles: coordinated multi-level power management for the data center

    Ramya Raghavendra;Parthasarathy Ranganathan;Vanish Talwar;Zhikui Wang

  • Single-ISA Heterogeneous Multi-Core Architectures for Multithreaded Workload Performance

    Rakesh Kumar;Dean M. Tullsen;Parthasarathy Ranganathan;Norman P. Jouppi

  • Heracles: improving resource efficiency at scale

    David Lo;Liqun Cheng;Rama Govindaraju;Parthasarathy Ranganathan

  • Profiling a Warehouse-Scale Computer

    Svilen Kanev;Juan Pablo Darago;Kim Hazelwood;Parthasarathy Ranganathan

  • A Power Benchmarking Framework for Network Devices

    Priya Mahadevan;Puneet Sharma;Sujata Banerjee;Parthasarathy Ranganathan

  • Disaggregated memory for expansion and sharing in blade servers

    Kevin Lim;Jichuan Chang;Trevor Mudge;Parthasarathy Ranganathan

  • Full-System Power Analysis and Modeling for Server Environments

    D. Economou;Suzanne Rivoire;C. Kozyrakis;P. Ranganathan

  • Heterogeneous chip multiprocessors

    R. Kumar;D.M. Tullsen;N.P. Jouppi;P. Ranganathan

  • Ensemble-level Power Management for Dense Blade Servers

    Parthasarathy Ranganathan;Phil Leech;David Irwin;Jeffrey Chase

  • Consistent and durable data structures for non-volatile byte-addressable memory

    Shivaram Venkataraman;Niraj Tolia;Parthasarathy Ranganathan;Roy H. Campbell

  • Dynamically selecting processor cores for overall power efficiency

    Keith Farkas;Norman P. Jouppi;Robert N. Mayo;Parthasarathy Ranganathan

  • A comparison of high-level full-system power models

    Suzanne Rivoire;Parthasarathy Ranganathan;Christos Kozyrakis

  • Reconfigurable caches and their application to media processing

    Parthasarathy Ranganathan;Sarita Adve;Norman P. Jouppi

  • JouleSort: a balanced energy-efficiency benchmark

    Suzanne Rivoire;Mehul A. Shah;Parthasarathy Ranganathan;Christos Kozyrakis

  • GViM: GPU-accelerated virtual machines

    Vishakha Gupta;Ada Gavrilovska;Karsten Schwan;Harshvardhan Kharche

  • Understanding and Designing New Server Architectures for Emerging Warehouse-Computing Environments

    Kevin Lim;Parthasarathy Ranganathan;Jichuan Chang;Chandrakant Patel

  • Rsim: simulating shared-memory multiprocessors with ILP processors

    C.J. Hughes;V.S. Pai;P. Ranganathan;S.V. Adve

  • Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers

    J. Moore;J.S. Chase;P. Ranganathan

  • Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks

    Amirali Boroumand;Saugata Ghose;Youngsok Kim;Rachata Ausavarungnirun

Frequent Co-Authors

Norman P. Jouppi
Norman P. Jouppi Google (United States)
Vanish Talwar
Vanish Talwar Facebook (United States)
Sarita V. Adve
Sarita V. Adve University of Illinois at Urbana-Champaign
Christos Kozyrakis
Christos Kozyrakis Stanford University
Zhikui Wang
Zhikui Wang Hewlett-Packard (United States)
Naveen Muralimanohar
Naveen Muralimanohar Google (United States)
Kevin Swersky
Kevin Swersky Google (United States)

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