| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Electronics and Electrical Engineering | 68 | 991 | 945 | 421 | 387 | 476 | 24039 |
| Computer Science | 71 | 1751 | 1696 | 892 | 858 | 552 | 25639 |
The chart shows the history of publications by Antonio Ortega between 1992 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Antonio Ortega published across 34 years, from 1992 to 2025, averaging 20.3 papers a year. Output peaked at 42 publications in 2022. 63 of the 689 publications appeared in the last two years.
689 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1992 | 5 |
| 1993 | 4 |
| 1994 | 6 |
| 1995 | 7 |
| 1996 | 8 |
| 1997 | 18 |
| 1998 | 21 |
| 1999 | 20 |
| 2000 | 22 |
| 2001 | 16 |
| 2002 | 16 |
| 2003 | 18 |
| 2004 | 9 |
| 2005 | 15 |
| 2006 | 19 |
| 2007 | 21 |
| 2008 | 19 |
| 2009 | 36 |
| 2010 | 24 |
| 2011 | 25 |
| 2012 | 19 |
| 2013 | 30 |
| 2014 | 11 |
| 2015 | 17 |
| 2016 | 27 |
| 2017 | 24 |
| 2018 | 28 |
| 2019 | 22 |
| 2020 | 16 |
| 2021 | 35 |
| 2022 | 42 |
| 2023 | 26 |
| 2024 | 37 |
| 2025 | 26 |
| Total | 689 |
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 Antonio Ortega sits on this spectrum.
This scientist: 476 publications — 82nd percentile
82% 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 | |
| 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 | 476 |
| 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 Antonio Ortega sits on this spectrum.
This scientist: 68 D-Index — 86th percentile
86% 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 | |
| 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 | 68 |
| 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 |
Antonio Ortega is affiliated with the University of Southern California in the United States. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and computer vision and pattern recognition. Ortega's work extends into several interdisciplinary areas including statistical and nonlinear physics, molecular biology, and computational mechanics.
Ortega's research contributions cover a variety of topics, notably:
Frequent co-authors in Ortega's publications include:
Their work appears frequently in several publication venues, such as:
Recent papers include:
In addition to journal and conference publications, Ortega has contributed to book literature. Notably, they authored "Introduction to Graph Signal Processing," published by Cambridge University Press in 2022.
Their contributions to the field have been recognized through awards, including being named an IEEE Fellow in 2007 for contributions to image and video communications.
David I Shuman;Sunil K. Narang;Pascal Frossard;Antonio Ortega
Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura
A. Ortega;K. Ramchandran
C. Chrysafis;A. Ortega
K. Ramchandran;A. Ortega;M. Vetterli
K. Ramchandran;A. Ortega;K.M. Uz;M. Vetterli
Sunil K. Narang;A. Ortega
Liang-Jin Lin;A. Ortega
T.V. Lakshman;A. Ortega;A.R. Reibman
Hilmi E. Egilmez;Eduardo Pavez;Antonio Ortega
Aamir Anis;Akshay Gadde;Antonio Ortega
A. Ortega;K. Ramchandran;M. Vetterli
Chi-Yuan Hsu;A. Ortega;M. Khansari
Reza Rejaie;Antonio Ortega
João Hespanha;Antonio Ortega;Lavanya Vasudevan
Sunil K. Narang;Akshay Gadde;Antonio Ortega
Sunil K. Narang;Antonio Ortega
Chi-Yuan Hsu;A. Ortega;A.R. Reibman
Aamir Anis;Akshay Gadde;Antonio Ortega
Wenqing Jiang;Antonio Ortega
If you think any of the details on this page are incorrect, let us know.
For those interested in Electronics and Electrical Engineering, exploring flexible education options can be a game changer. Many students today are turning to competency based masters degrees that focus on mastering skills rather than time spent in class. This approach can accelerate learning and better align with industry demands.
Military families often require programs that accommodate their unique schedules and commitments. Online universities recognized as the best online college for military spouses offer dedicated support and flexible learning paths, ensuring education is accessible regardless of location.
For faster entry into the workforce, students may consider short-term options available through short certificate programs. These programs help develop targeted, job-ready skills in a matter of months, ideal for those looking to upskill quickly.
Additionally, some students need immediate enrollment options. Online colleges that start immediately, including those highlighted as online colleges that start immediately, allow students to begin their studies without waiting for traditional semester start dates, providing unparalleled flexibility.
University of Pennsylvania
University of Chieti-Pescara
University of Oxford
Dublin Institute For Advanced Studies
University College London
University of Tübingen
University of Cambridge
Baylor College of Medicine
University of Nantes
IBM (United States)
Helmholtz Center for Information Security
Hokkaido University
The University of Texas Health Science Center at San Antonio
Harvard University
Florida International University
Commonwealth Scientific and Industrial Research Organisation
