World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5029
World Ranking
8984
National Ranking
2509

Sudhanva Gurumurthi publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Sudhanva Gurumurthi sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 107 publications — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Sudhanva Gurumurthi D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Sudhanva Gurumurthi sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2011 - ACM Senior Member

Overview

Sudhanva Gurumurthi is affiliated with Advanced Micro Devices in the United States. Their research spans the fields of Computer Science and Engineering, with a focus on subfields including Electrical and Electronic Engineering, Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, and Computer Vision and Pattern Recognition.

Their main topics of work cover Radiation Effects in Electronics, Semiconductor materials and devices, Parallel Computing and Optimization Techniques, Distributed systems and fault tolerance, Interconnection Networks and Systems, Adversarial Robustness in Machine Learning, and Advanced Neural Network Applications.

Notable recent publications by Sudhanva Gurumurthi include:

  • HBM3 RAS: Enhancing Resilience at Scale (2021) published in IEEE Computer Architecture Letters
  • Special Issue on Top Picks From the 2021 Computer Architecture Conferences (2022) published in IEEE Micro

Frequent co-authors they have collaborated with include Vilas Sridharan, Majed Valad Beigi, Ki-Jun Lee, Munseon Jang, and Aaron Nygren. Their work has appeared in key venues such as IEEE Computer Architecture Letters, arXiv (Cornell University), 2022 IEEE International Reliability Physics Symposium (IRPS), and IEEE Micro.

Sudhanva Gurumurthi was recognized as an ACM Senior Member in 2011.

Best Publications

  • DRPM: dynamic speed control for power management in server class disks

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Mahmut Kandemir;Hubertus Franke

  • Relaxing non-volatility for fast and energy-efficient STT-RAM caches

    Clinton W. Smullen;Vidyabhushan Mohan;Anurag Nigam;Sudhanva Gurumurthi

  • Memory Errors in Modern Systems: The Good, The Bad, and The Ugly

    Vilas Sridharan;Nathan DeBardeleben;Sean Blanchard;Kurt B. Ferreira

  • Using complete machine simulation for software power estimation: the SoftWatt approach

    S. Gurumurthi;A. Sivasubramaniam;M.J. Irwin;N. Vijaykrishnan

  • Feng shui of supercomputer memory: positional effects in DRAM and SRAM faults

    Vilas Sridharan;Jon Stearley;Nathan DeBardeleben;Sean Blanchard

  • GPU-Qin: A methodology for evaluating the error resilience of GPGPU applications

    Bo Fang;Karthik Pattabiraman;Matei Ripeanu;Sudhanva Gurumurthi

  • Dynamic prediction of architectural vulnerability from microarchitectural state

    Kristen R. Walcott;Greg Humphreys;Sudhanva Gurumurthi

  • ICR: in-cache replication for enhancing data cache reliability

    Wei Zhang;S. Gurumurthi;M. Kandemir;A. Sivasubramaniam

  • Phase Change Memory: From Devices to Systems

    Moinuddin K. Qureshi;Sudhanva Gurumurthi;Bipin Rajendran

  • Delivering on the promise of universal memory for spin-transfer torque RAM (STT-RAM)

    Anurag Nigam;Clinton W. Smullen;Vidyabhushan Mohan;Eugene Chen

  • Reducing disk power consumption in servers with DRPM

    S. Gurumurthi;A. Sivasubramaniam;M. Kandemir;H. Franke

  • Achieving Exascale Capabilities through Heterogeneous Computing

    Michael J. Schulte;Mike Ignatowski;Gabriel H. Loh;Bradford M. Beckmann

  • Differentiating the roles of IR measurement and simulation for power and temperature-aware design

    Wei Huang;Kevin Skadron;Sudhanva Gurumurthi;Robert J. Ribando

  • Disk Drive Roadmap from the Thermal Perspective: A Case for Dynamic Thermal Management

    Sudhanva Gurumurthi;Anand Sivasubramaniam;Vivek K. Natarajan

  • Understanding the performance-temperature interactions in disk I/O of server workloads

    Youngjae Kim;S. Gurumurthi;A. Sivasubramaniam

  • Interplay of energy and performance for disk arrays running transaction processing workloads

    S. Gurumurthi;Jianyong Zhang;A. Sivasubramaniam;M. Kandemir

  • Real-world design and evaluation of compiler-managed GPU redundant multithreading

    Jack Wadden;Alexander Lyashevsky;Sudhanva Gurumurthi;Vilas Sridharan

  • Method, system, and computer program product for malware detection analysis, and response

    David E. Evans;Adrienne P. Felt;Nathanael R. Paul;Sudhanva Gurumurthi

  • How i learned to stop worrying and love flash endurance

    Vidyabhushan Mohan;Taniya Siddiqua;Sudhanva Gurumurthi;Mircea R. Stan

  • GPGPUs: how to combine high computational power with high reliability

    L. Bautista Gomez;F. Cappello;L. Carro;N. DeBardeleben

Frequent Co-Authors

Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
Mircea R. Stan
Mircea R. Stan University of Virginia
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University
Karthik Pattabiraman
Karthik Pattabiraman University of British Columbia
Mary Jane Irwin
Mary Jane Irwin Pennsylvania State University
Kevin Skadron
Kevin Skadron University of Virginia
Matei Ripeanu
Matei Ripeanu University of British Columbia
Hubertus Franke
Hubertus Franke IBM (United States)
N. Vijaykrishnan
N. Vijaykrishnan Pennsylvania State University
Wei Huang
Wei Huang Advanced Micro Devices (Canada)

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