World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 66 1116 1063 468 431 270 24609
Computer Science 73 1551 1504 808 778 322 29937

Kevin Skadron publications per year

The chart shows the history of publications by Kevin Skadron between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kevin Skadron published across 29 years, from 1997 to 2025, averaging 11.9 papers a year. Output peaked at 28 publications in 2012. 15 of the 345 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 28. Peak 28 publications in 2012. 1997: 1 publication 1998: 2 publications 1999: 2 publications 2000: 6 publications 2001: 7 publications 2002: 15 publications 2003: 13 publications 2004: 20 publications 2005: 21 publications 2006: 18 publications 2007: 11 publications 2008: 16 publications 2009: 12 publications 2010: 16 publications 2011: 15 publications 2012: 28 publications 2013: 10 publications 2014: 15 publications 2015: 14 publications 2016: 17 publications 2017: 15 publications 2018: 8 publications 2019: 14 publications 2020: 9 publications 2021: 8 publications 2022: 11 publications 2023: 6 publications 2024: 8 publications 2025: 7 publications
1997 2025

345 publications in total across all disciplines

View publications per year as a table
Kevin Skadron: publications per year, 1997 to 2025
Year Publications
1997 1
1998 2
1999 2
2000 6
2001 7
2002 15
2003 13
2004 20
2005 21
2006 18
2007 11
2008 16
2009 12
2010 16
2011 15
2012 28
2013 10
2014 15
2015 14
2016 17
2017 15
2018 8
2019 14
2020 9
2021 8
2022 11
2023 6
2024 8
2025 7
Total 345
Download as CSV

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 254–273 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366 270
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 66 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64 66
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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)

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students of Electronics and Electrical Engineering, expanding skills in project management can significantly enhance career opportunities. Pursuing an accelerated project management degree online allows individuals to quickly gain expertise in managing complex engineering projects, boosting their leadership capabilities within technical teams.

Many universities now offer a project manager bachelor degree online, providing a convenient pathway for working professionals to gain formal education without sacrificing their current job roles. These programs blend practical knowledge with flexible schedules, making them ideal for those looking to integrate project management skills with their engineering background.

In fact, the rise of online degree programs for working adults has transformed higher education by offering accelerated and flexible formats tailored to busy schedules. This helps engineering graduates and professionals swiftly upskill and remain competitive in evolving industries.

For those interested in educational roles within engineering fields, pursuing an instructional design masters degree online can open doors to curriculum development and training specialist positions. This degree equips students to create effective learning experiences, tailored to technical subjects like electronics and electrical engineering.

Best Scientists Citing Kevin Skadron

Trending Scientists

Recently Published Articles