| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 42 | 4017 | 3856 | 1437 | 1342 | 178 | 11258 |
The chart shows the history of publications by Fabio Pasqualetti between 2007 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fabio Pasqualetti published across 19 years, from 2007 to 2025, averaging 13.8 papers a year. Output peaked at 38 publications in 2023. 28 of the 262 publications appeared in the last two years.
262 publications in total across all disciplines
| Year | Publications |
|---|---|
| 2007 | 1 |
| 2008 | 1 |
| 2009 | 1 |
| 2010 | 3 |
| 2011 | 7 |
| 2012 | 10 |
| 2013 | 5 |
| 2014 | 4 |
| 2015 | 10 |
| 2016 | 14 |
| 2017 | 18 |
| 2018 | 14 |
| 2019 | 16 |
| 2020 | 34 |
| 2021 | 28 |
| 2022 | 30 |
| 2023 | 38 |
| 2024 | 16 |
| 2025 | 12 |
| Total | 262 |
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 Fabio Pasqualetti sits on this spectrum.
This scientist: 178 publications — 22nd percentile
22% 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 | |
| 114–133 | 269 | |
| 134–153 | 355 | |
| 154–173 | 403 | |
| 174–193 | 445 | 178 |
| 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 Fabio Pasqualetti sits on this spectrum.
This scientist: 42 D-Index — 42nd percentile
42% 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 | |
| 32 | 263 | |
| 33 | 262 | |
| 34 | 244 | |
| 35 | 236 | |
| 36 | 211 | |
| 37 | 220 | |
| 38 | 214 | |
| 39 | 214 | |
| 40 | 205 | |
| 41 | 187 | |
| 42 | 194 | 42 |
| 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 |
Fabio Pasqualetti is affiliated with the University of California, Riverside in the United States. Their research spans the fields of engineering and computer science, with particular contributions to control and systems engineering, cognitive neuroscience, artificial intelligence, computer networks and communications, and molecular biology.
The scientist has explored a range of main topics including neural dynamics and brain function, fault detection and control systems, nonlinear dynamics and pattern formation, control systems and identification, functional brain connectivity studies, advanced control systems optimization, and smart grid security and resilience.
Fabio Pasqualetti has published extensively, contributing to prominent venues such as:
Among recent papers authored or coauthored by Fabio Pasqualetti are:
Frequent coauthors of Fabio Pasqualetti include:
Fabio Pasqualetti;Florian Dorfler;Francesco Bullo
Shi Gu;Fabio Pasqualetti;Matthew Cieslak;Qawi K. Telesford
Fabio Pasqualetti;Sandro Zampieri;Francesco Bullo
F. Pasqualetti;A. Bicchi;F. Bullo
Fabio Pasqualetti;Florian Dorfler;Francesco Bullo
Richard F. Betzel;Shi Gu;John D. Medaglia;Fabio Pasqualetti
Sarah Feldt Muldoon;Sarah Feldt Muldoon;Sarah Feldt Muldoon;Fabio Pasqualetti;Shi Gu;Matthew Cieslak
Fabio Pasqualetti;Florian Dorfler;Francesco Bullo
Sajjad Amini;Fabio Pasqualetti;Hamed Mohsenian-Rad
Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta
F. Pasqualetti;A. Franchi;F. Bullo
John Dominic Medaglia;Fabio Pasqualetti;Roy H. Hamilton;Sharon L. Thompson-Schill
Cheng-Zong Bai;Vijay Gupta;Fabio Pasqualetti
Jason Z. Kim;Jonathan M. Soffer;Ari E. Kahn;Jean M. Vettel
Jennifer Stiso;Ankit N. Khambhati;Tommaso Menara;Ari E. Kahn
Giacomo Baggio;Danielle S. Bassett;Fabio Pasqualetti
Cheng-Zong Bai;Fabio Pasqualetti;Vijay Gupta
Fabio Pasqualetti;Ruggero Carli;Francesco Bullo
Shi Gu;Matthew Cieslak;Benjamin Baird;Sarah F. Muldoon
F. Pasqualetti;J. W. Durham;F. Bullo
F. Pasqualetti;A. Bicchi;F. Bullo
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Another emerging trend is earning credentials through competency-based online colleges. These programs prioritize mastery of skills over time spent in class, making them ideal for self-motivated learners aiming to demonstrate practical expertise efficiently.
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