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 57 1943 1863 767 717 806 15099
Computer Science 60 3209 3116 1560 1503 870 16049

John S. Baras publications per year

The chart shows the history of publications by John S. Baras between 1972 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John S. Baras published across 54 years, from 1972 to 2025, averaging 17.6 papers a year. Output peaked at 52 publications in 2004. 38 of the 950 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1972 to 2025. Vertical axis: number of publications, 0 to 52. Peak 52 publications in 2004. 1972: 1 publication 1973: 0 publications 1974: 1 publication 1975: 3 publications 1976: 5 publications 1977: 3 publications 1978: 6 publications 1979: 3 publications 1980: 5 publications 1981: 7 publications 1982: 5 publications 1983: 3 publications 1984: 4 publications 1985: 7 publications 1986: 2 publications 1987: 11 publications 1988: 5 publications 1989: 5 publications 1990: 9 publications 1991: 12 publications 1992: 12 publications 1993: 18 publications 1994: 17 publications 1995: 20 publications 1996: 22 publications 1997: 13 publications 1998: 20 publications 1999: 22 publications 2000: 20 publications 2001: 13 publications 2002: 27 publications 2003: 40 publications 2004: 52 publications 2005: 21 publications 2006: 32 publications 2007: 23 publications 2008: 35 publications 2009: 31 publications 2010: 27 publications 2011: 28 publications 2012: 27 publications 2013: 34 publications 2014: 21 publications 2015: 30 publications 2016: 29 publications 2017: 23 publications 2018: 14 publications 2019: 17 publications 2020: 28 publications 2021: 37 publications 2022: 30 publications 2023: 32 publications 2024: 23 publications 2025: 15 publications
1972 2025

950 publications in total across all disciplines

View publications per year as a table
John S. Baras: publications per year, 1972 to 2025
Year Publications
1972 1
1973 0
1974 1
1975 3
1976 5
1977 3
1978 6
1979 3
1980 5
1981 7
1982 5
1983 3
1984 4
1985 7
1986 2
1987 11
1988 5
1989 5
1990 9
1991 12
1992 12
1993 18
1994 17
1995 20
1996 22
1997 13
1998 20
1999 22
2000 20
2001 13
2002 27
2003 40
2004 52
2005 21
2006 32
2007 23
2008 35
2009 31
2010 27
2011 28
2012 27
2013 34
2014 21
2015 30
2016 29
2017 23
2018 14
2019 17
2020 28
2021 37
2022 30
2023 32
2024 23
2025 15
Total 950
Download as CSV

John S. Baras 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 John S. Baras 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, 794–813 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: 806 publications — 96th percentile

96% 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
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 23 806
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

John S. Baras 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 John S. Baras 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, 57 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: 57 D-Index — 72nd percentile

72% 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 57
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
Download as CSV

Research.com Recognitions

  • 2019 - Fellow of the American Mathematical Society For contributions to the mathematical foundations and applications of systems theory, stochastic systems, stochastic control, network security and trust, mentoring and academic leadership.
  • 2017 - IEEE Simon Ramo Medal “For exceptional contributions to the conception and commercialization of internet-over-satellite systems, and for leadership in model-based engineering, systems science, and engineering research.”
  • 2017 - Richard E. Bellman Control Heritage Award
  • 2015 - Fellow, National Academy of Inventors
  • 2014 - SIAM Fellow For contributions to systems theory, stochastic control, and communication networks.
  • 2014 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2014 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1984 - IEEE Fellow For contributions to distributed parameter systems theory, quantum and nonlinear estimation, and control of queuing systems.

Overview

John S. Baras is affiliated with the University of Maryland, College Park in the United States. Their research spans key domains within computer science and engineering, with a substantial output in topics related to control systems and networked communications.

Their work covers the following main fields of study:

  • Computer Science
  • Engineering

Within these areas, their subfields of study include:

  • Computer Networks and Communications
  • Artificial Intelligence
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Automotive Engineering

The main research topics they have addressed are:

  • Traffic control and management
  • Distributed Control Multi-Agent Systems
  • Autonomous Vehicle Technology and Safety
  • Distributed Sensor Networks and Detection Algorithms
  • Stability and Control of Uncertain Systems
  • Neural Networks and Applications
  • Software-Defined Networks and 5G

John S. Baras has published numerous papers in several venues, with a concentration in:

  • arXiv (Cornell University)
  • IFAC-PapersOnLine
  • IEEE Transactions on Automatic Control
  • 2021 60th IEEE Conference on Decision and Control (CDC)
  • 2022 American Control Conference (ACC)

Notable recent papers include:

  • "Value of Information in Feedback Control: Quantification" (2021), IEEE Transactions on Automatic Control
  • "Voice Interface Technology Adoption by Patients With Heart Failure: Pilot Comparison Study" (2021), JMIR mhealth and uhealth
  • "Value of Information in Feedback Control: Global Optimality" (2022), IEEE Transactions on Automatic Control
  • "Online Deterministic Annealing for Classification and Clustering" (2022), IEEE Transactions on Neural Networks and Learning Systems
  • "Optimization-based Motion Planning and Runtime Monitoring for Robotic Agent with Space and Time Tolerances" (2020), IFAC-PapersOnLine

Frequent collaborators in their work include:

  • Christos N. Mavridis
  • Erfaun Noorani
  • Nariman Torkzaban
  • Sandra Hirche
  • Karl Henrik Johansson

John S. Baras has also contributed to book literature with a publication titled "Decision and Game Theory for Security" (2020) published by Springer Science+Business Media.

The scientist has received several awards acknowledging their contributions, including:

  • Fellow of the American Mathematical Society (2019): For contributions to the mathematical foundations and applications of systems theory, stochastic systems, stochastic control, network security and trust, mentoring and academic leadership.
  • IEEE Simon Ramo Medal (2017): For exceptional contributions to the conception and commercialization of internet-over-satellite systems, and for leadership in model-based engineering, systems science, and engineering research.
  • Richard E. Bellman Control Heritage Award (2017)
  • Fellow, National Academy of Inventors (2015)
  • Fellow of the International Federation of Automatic Control (IFAC) (2014)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2014)
  • SIAM Fellow (2014): For contributions to systems theory, stochastic control, and communication networks.
  • IEEE Fellow (1984): For contributions to distributed parameter systems theory, quantum and nonlinear estimation, and control of queuing systems.

Best Publications

  • On trust models and trust evaluation metrics for ad hoc networks

    G. Theodorakopoulos;J.S. Baras

  • Modeling and control of hysteresis in magnetostrictive actuators

    Xiaobo Tan;John S. Baras

  • ATEMU: a fine-grained sensor network simulator

    J. Polley;D. Blazakis;J. McGee;D. Rusk

  • Toward a Science of Cyber–Physical System Integration

    J. Sztipanovits;X. Koutsoukos;G. Karsai;N. Kottenstette

  • On Trust Establishment in Mobile Ad-Hoc Networks

    Laurent Eschenauer;Virgil D. Gligor;John S. Baras

  • Trust evaluation in ad-hoc networks

    George Theodorakopoulos;John S. Baras

  • Risk-sensitive control and dynamic games for partially observed discrete-time nonlinear systems

    M.R. James;J.S. Baras;R.J. Elliott

  • Adaptive identification and control of hysteresis in smart materials

    Xiaobo Tan;J.S. Baras

  • A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc Networks

    John S. Baras;Harsh Mehta

  • Physical-Layer Authentication

    P.L. Yu;J.S. Baras;B.M. Sadler

  • Method and system for CELP speech coding and codebook for use therewith

    Yuhung Kao;John Baras

  • Adaptive Data Broadcast in Hybrid Networks

    Konstantinos Stathatos;Nick Roussopoulos;John S. Baras

  • Modeling and control of a magnetostrictive actuator

    Xiaobo Tan;J.S. Baras

  • A framework for MAC protocol misbehavior detection in wireless networks

    Svetlana Radosavac;John S. Baras;Iordanis Koutsopoulos

  • Detection and prevention of MAC layer misbehavior in ad hoc networks

    Alvaro A. Cárdenas;Svetlana Radosavac;John S. Baras

  • Consensus-based linear distributed filtering

    Ion Matei;John S. Baras

  • Dynamic observers as asymptotic limits of recursive filters: special cases

    John S. Baras;Alain Bensoussan;Matthew R. James

  • Robust H/sub /spl infin// output feedback control for nonlinear systems

    M.R. James;J.S. Baras

  • K competing queues with geometric service requirements and linear costs: The μc-rule is always optimal☆

    J.S. Baras;D.-J. Ma;A.M. Makowski

  • Performance Evaluation of the Consensus-Based Distributed Subgradient Method Under Random Communication Topologies

    Ion Matei;John S. Baras

  • A framework for the evaluation of intrusion detection systems

    A.A. Cardenas;J.S. Baras;K. Seamon

Frequent Co-Authors

Xiaobo Tan
Xiaobo Tan Michigan State University
Carlos A. Berenstein
Carlos A. Berenstein University of Maryland, College Park
Alvaro A. Cardenas
Alvaro A. Cardenas University of California, Santa Cruz
Matthew R. James
Matthew R. James Australian National University
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology
Nick Roussopoulos
Nick Roussopoulos University of Maryland, College Park
Sandra Hirche
Sandra Hirche Technical University of Munich
George V. Moustakides
George V. Moustakides University of Illinois at Urbana-Champaign
Michael O. Ball
Michael O. Ball University of Maryland, College Park
Vijay Gupta
Vijay Gupta Purdue University West Lafayette

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 exploring Electronics and Electrical Engineering in the USA, complementary online degrees can broaden career opportunities. For example, pursuing the best online accelerated project management degree can equip engineers with valuable leadership and organizational skills essential for managing technical projects efficiently.

Many professionals also consider earning a project manager bachelor degree online, which offers flexible learning options without interrupting a full-time career. This degree enhances one’s ability to oversee large-scale engineering projects, balancing technical and managerial responsibilities.

Recognizing the needs of busy individuals, numerous bachelor degree programs for working adults are designed to be accelerated and flexible. They allow students to advance their education while maintaining work commitments, which is ideal for those looking to upskill in engineering-related fields.

Additionally, a master's in instructional design can be beneficial for engineers interested in developing educational technologies or training programs. This degree emphasizes designing effective learning experiences, which is increasingly important in technical industries.

Best Scientists Citing John S. Baras

Trending Scientists

Recently Published Articles