World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
66
Citations
24609
World Ranking
1116
National Ranking
468

Computer Science

D-Index
73
Citations
29937
World Ranking
1551
National Ranking
808

Kevin Skadron publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Kevin Skadron sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 270 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Kevin Skadron D-index placement in Electronics and Electrical Engineering in 2026

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

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2015 - ACM Fellow For contributions in power- and thermal-aware modeling, design and benchmarking of microprocessors, including GPUs.
  • 2013 - IEEE Fellow For contributions to thermal modeling in microprocessors
  • 2010 - ACM Distinguished Member
  • 2007 - ACM Senior Member

Overview

Kevin Skadron is affiliated with the University of Virginia in the United States. Their research primarily focuses on computer science and engineering, with a strong emphasis on electrical and electronic engineering, computer networks and communications, artificial intelligence, hardware and architecture, and molecular biology.

The scientist's recent publications cover topics aligned with memory technology, thermal modeling, and advanced computing systems. Notable papers include:

  • ROCKY: A Robust Hybrid On-chip Memory Kit For The Processors With STT-MRAM Cache Technology, 2020, published in IEEE Transactions on Computers
  • PiMulator: a Fast and Flexible Processing-in-Memory Emulation Platform, 2022, presented at the 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
  • From 2.5D to 3D Chiplet Systems: Investigation of Thermal Implications with HotSpot 7.0, 2022, featured in the 2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)
  • Agile-AES: Implementation of configurable AES primitive with agile design approach, 2022, published in Integration
  • NOSTalgy: Near-Optimum Run-Time STT-MRAM Quality-Energy Knob Management for Approximate Computing Applications, 2020, appearing in IEEE Transactions on Computers

Frequent coauthors collaborating with Kevin Skadron include:

  • Mircea R. Stan
  • Tommy Tracy
  • Xinfei Guo
  • Alif Ahmed
  • Ashish Venkat

The scientist's work appears regularly in publication venues such as:

  • arXiv (Cornell University)
  • IEEE Computer Architecture Letters
  • IEEE Transactions on Computers
  • IEEE Micro
  • 2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)

Research topics often addressed in their work include:

  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Data Storage Technologies
  • Graph Theory and Algorithms
  • Semiconductor materials and devices
  • Network Packet Processing and Optimization

Kevin Skadron has been recognized with several awards, including:

  • ACM Fellow in 2015 for contributions in power- and thermal-aware modeling, design and benchmarking of microprocessors, including GPUs
  • IEEE Fellow in 2013 for contributions to thermal modeling in microprocessors
  • ACM Distinguished Member in 2010
  • ACM Senior Member in 2007

Best Publications

  • Rodinia: A benchmark suite for heterogeneous computing

    Shuai Che;Michael Boyer;Jiayuan Meng;David Tarjan

  • Scalable Parallel Programming with CUDA: Is CUDA the parallel programming model that application developers have been waiting for?

    John Nickolls;Ian Buck;Michael Garland;Kevin Skadron

  • Scalable parallel programming with CUDA

    John Nickolls;Ian Buck;Michael Garland;Kevin Skadron

  • Temperature-aware microarchitecture

    Kevin Skadron;Mircea R. Stan;Wei Huang;Sivakumar Velusamy

  • HotSpot: a compact thermal modeling methodology for early-stage VLSI design

    Wei Huang;S. Ghosh;S. Velusamy;K. Sankaranarayanan

  • Temperature-aware microarchitecture: Modeling and implementation

    Kevin Skadron;Mircea R. Stan;Karthik Sankaranarayanan;Wei Huang

  • A performance study of general-purpose applications on graphics processors using CUDA

    Shuai Che;Michael Boyer;Jiayuan Meng;David Tarjan

  • Bubble-Up: increasing utilization in modern warehouse scale computers via sensible co-locations

    Jason Mars;Lingjia Tang;Robert Hundt;Kevin Skadron

  • Control-theoretic techniques and thermal-RC modeling for accurate and localized dynamic thermal management

    K. Skadron;T. Abdelzaher;M.R. Stan

  • Accelerating Compute-Intensive Applications with GPUs and FPGAs

    Shuai Che;Jie Li;J.W. Sheaffer;K. Skadron

  • Compact thermal modeling for temperature-aware design

    Wei Huang;M.R. Stan;K. Skadron;K. Sankaranarayanan

  • A characterization of the Rodinia benchmark suite with comparison to contemporary CMP workloads

    Shuai Che;Jeremy W. Sheaffer;Michael Boyer;Lukasz G. Szafaryn

  • Accelerating SQL database operations on a GPU with CUDA

    Peter Bakkum;Kevin Skadron

  • HotLeakage: A Temperature-Aware Model of Subthreshold and Gate Leakage for Architects

    Yan Zhang;Dharmesh Parikh;Karthik Sankaranarayanan;Kevin Skadron

  • Dynamic Voltage Scaling in Multitier Web Servers with End-to-End Delay Control

    T. Horvath;T. Abdelzaher;K. Skadron;Xue Liu

  • Dynamic warp subdivision for integrated branch and memory divergence tolerance

    Jiayuan Meng;David Tarjan;Kevin Skadron

  • Energy-efficient mechanisms for managing thread context in throughput processors

    Mark Gebhart;Daniel R. Johnson;David Tarjan;Stephen W. Keckler

  • Power-aware QoS management in Web servers

    V. Sharma;A. Thomas;T. Abdelzaher;K. Skadron

  • Recent thermal management techniques for microprocessors

    Joonho Kong;Sung Woo Chung;Kevin Skadron

  • A Case for Thermal-Aware Floorplanning at the Microarchitectural Level

    Karthik Sankaranarayanan;Sivakumar Velusamy;Mircea R. Stan;Kevin Skadron

  • Dynamic Warp Subdivision for Integrated Branch and Memory Divergence Tolerance: Extended Tradeoff Analysis

    Jiayuan Meng;David Tarjan;Kevin Skadron

Frequent Co-Authors

Mircea R. Stan
Mircea R. Stan University of Virginia
Wei Huang
Wei Huang Advanced Micro Devices (Canada)
John Lach
John Lach George Washington University
Margaret Martonosi
Margaret Martonosi Princeton University
Pradip Bose
Pradip Bose IBM (United States)
Douglas W. Clark
Douglas W. Clark Princeton University
David Luebke
David Luebke Nvidia (United States)
David Brooks
David Brooks Harvard University
Scott T. Acton
Scott T. Acton University of Virginia
Alper Buyuktosunoglu
Alper Buyuktosunoglu IBM (United States)

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