| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 31 | 6454 | 6196 | 2115 | 1967 | 98 | 7121 |
The chart shows the history of publications by Ken Mai between 1990 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ken Mai published across 36 years, from 1990 to 2025, averaging 3.4 papers a year. Output peaked at 13 publications in 2015. 11 of the 122 publications appeared in the last two years.
122 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1990 | 1 |
| 1991 | 0 |
| 1992 | 0 |
| 1993 | 0 |
| 1994 | 0 |
| 1995 | 0 |
| 1996 | 0 |
| 1997 | 0 |
| 1998 | 3 |
| 1999 | 2 |
| 2000 | 3 |
| 2001 | 1 |
| 2002 | 1 |
| 2003 | 4 |
| 2004 | 2 |
| 2005 | 1 |
| 2006 | 0 |
| 2007 | 5 |
| 2008 | 6 |
| 2009 | 7 |
| 2010 | 8 |
| 2011 | 8 |
| 2012 | 7 |
| 2013 | 5 |
| 2014 | 7 |
| 2015 | 13 |
| 2016 | 4 |
| 2017 | 2 |
| 2018 | 6 |
| 2019 | 3 |
| 2020 | 2 |
| 2021 | 4 |
| 2022 | 3 |
| 2023 | 3 |
| 2024 | 6 |
| 2025 | 5 |
| Total | 122 |
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 Ken Mai sits on this spectrum.
This scientist: 98 publications — 3rd percentile
3% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
| Publications | Scientists | This scientist |
|---|---|---|
| 34–53 | 24 | |
| 54–73 | 52 | |
| 74–93 | 114 | |
| 94–113 | 203 | 98 |
| 114–133 | 269 | |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | |
| 194–213 | 430 | |
| 214–233 | 431 | |
| 234–253 | 399 | |
| 254–273 | 366 | |
| 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 |
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 Ken Mai sits on this spectrum.
This scientist: 31 D-Index — 6th percentile
6% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
| D-Index | Scientists | This scientist |
|---|---|---|
| 30 | 178 | |
| 31 | 257 | 31 |
| 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 | |
| 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 |
Ken Mai is affiliated with Carnegie Mellon University in the United States. The primary fields of study for their research include Engineering and Computer Science, with further specialization in subfields such as Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Aerospace Engineering, Hardware and Architecture, and Cellular and Molecular Neuroscience.
Their research spans multiple main topics, which include Integrated Circuits and Semiconductor Failure Analysis, Robotics and Sensor-Based Localization, Advanced Vision and Imaging, Advanced Image and Video Retrieval Techniques, Physical Unclonable Functions (PUFs) and Hardware Security, Neuroscience and Neural Engineering, and Force Microscopy Techniques and Applications.
Ken Mai has contributed to several recent papers covering a variety of subjects and venues:
Ken Mai has collaborated with various frequent coauthors, including Siyuan Chen, Samuel Pagliarini, Joseph Sweeney, R. D. Blanton, and Larry Pileggi.
Publication venues where Ken Mai's work has appeared include:
R. Ho;K.W. Mai;M.A. Horowitz
Yu Cai;Erich F. Haratsch;Onur Mutlu;Ken Mai
Jangwoo Kim;Nikos Hardavellas;Ken Mai;Babak Falsafi
Eric S. Chung;Peter A. Milder;James C. Hoe;Ken Mai
Yu Cai;Yixin Luo;Erich F. Haratsch;Ken Mai
Yu Cai;Erich F. Haratsch;Onur Mutlu;Ken Mai
Yu Cai;Gulay Yalcin;Onur Mutlu;Erich F. Haratsch
B.H. Calhoun;Yu Cao;Xin Li;Ken Mai
Yu Cai;Onur Mutlu;Erich F. Haratsch;Ken Mai
Eric S. Chung;James C. Hoe;Ken Mai
K.W. Mai;T. Mori;B.S. Amrutur;R. Ho
Yu Cai;Saugata Ghose;Yixin Luo;Yixin Luo;Ken Mai
Unknown
R. Ho;K. Mai;M. Horowitz
Eric S. Chung;Michael K. Papamichael;Eriko Nurvitadhi;James C. Hoe
Mudit Bhargava;Ken Mai
Mudit Bhargava;Cagla Cakir;Ken Mai
Ron Ho;B. Amrutur;Ken Mai;B. Wilburn
Yu Cai;Gulay Yalcin;Onur Mutlu;Erich F. Haratsch
Mudit Bhargava;Ken Mai
Unknown
Graham Gobieski;Ahmet Oguz Atli;Kenneth Mai;Brandon Lucia
Mudit Bhargava;Cagla Cakir;Ken Mai
Yu Cai;Yixin Luo;Saugata Ghose;Erich F. Haratsch
Benton H. Calhoun;Yu Cao;Xin Li;Ken Mai
If you think any of the details on this page are incorrect, let us know.
For those interested in expanding their knowledge beyond traditional Electronics and Electrical Engineering, online degree programs offer flexible options tailored to diverse needs. Many professionals benefit from bachelor degree programs for working adults, which provide accelerated pathways to advance careers without interrupting work schedules.
Educators aiming to specialize further can explore the best online teaching master's programs. These prepare graduates to effectively design and deliver technical training, an essential skill in today’s rapidly evolving tech environments.
Competency-based education is another key trend, emphasizing mastery over traditional credit hours. Students may find appealing options through the best competency-based colleges, which often provide personalized pacing and real-world skill validation.
Finally, military families pursuing education in this field can access supportive resources and flexible scheduling through military spouse friendly online colleges, ensuring that their unique circumstances are accommodated. Exploring these pathways makes it easier to tailor education and career growth in electronics and electrical engineering to individual needs.
Stanford University
University of Rhode Island
Yale University
Goethe University Frankfurt
Sun Yat-sen University
University of Calgary
University of Florida
Sungkyunkwan University
HEC Montréal
Carnegie Mellon University
University of Modena and Reggio Emilia
University of Santiago de Compostela
University of Zurich
Washington University in St. Louis
University of Leeds
Newcastle University
