World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
12827
World Ranking
2611
National Ranking
1001

Computer Science

D-Index
52
Citations
13025
World Ranking
5025
National Ranking
2338

Lynne E. Parker 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 Lynne E. Parker sits on this spectrum.

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 publications 1,065+

This scientist: 152 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Lynne E. Parker 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 Lynne E. Parker sits on this spectrum.

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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2017 - ACM Distinguished Member
  • 2014 - ACM Senior Member
  • 2010 - IEEE Fellow For contributions to distributed and heterogeneous multi-robot systems

Overview

Lynne E. Parker is affiliated with the University of Tennessee at Knoxville in the United States. Their research spans primarily in the fields of Decision Sciences and Computer Science, with specific focus on Information Systems and Management as well as Information Systems subfields.

Their work addresses core topics such as Scientific Computing and Data Management and Research Data Management Practices. These areas reflect a concentration on managing and analyzing complex scientific data as well as developing systems to support data-driven research.

Recent scholarly output includes a publication titled Strengthening and Democratizing Artificial Intelligence Research and Development, published in 2023 in the journal Computer. This paper contributes to ongoing discussions concerning the development and accessibility of artificial intelligence technologies.

Frequent collaborators in Lynne E. Parker's research include Manish Parashar, Tess DeBlanc-Knowles, and Erwin P. Gianchandani. Their publication records show engagement with the venue Computer, indicating a focus on technology-centered academic discourse.

Throughout their career, Lynne E. Parker has received several recognitions from leading professional organizations. These honors include being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2018, an ACM Distinguished Member in 2017, and an ACM Senior Member in 2014. Additionally, Parker was awarded the IEEE Fellow distinction in 2010 for contributions to distributed and heterogeneous multi-robot systems.

Best Publications

  • ALLIANCE: an architecture for fault tolerant multirobot cooperation

    L.E. Parker

  • Distributed Intelligence: Overview of the Field and Its Application in Multi-Robot Systems.

    Lynne E. Parker

  • Guest editorial advances in multirobot systems

    T. Arai;E. Pagello;L.E. Parker

  • Multiple Mobile Robot Systems

    Lynne E. Parker;Daniela Rus;Gaurav S. Sukhatme

  • Predicting future hourly residential electrical consumption: A machine learning case study

    Richard E Edwards;Joshua Ryan New;Lynne Edwards Parker

  • Current State of the Art in Distributed Autonomous Mobile Robotics

    Lynne E. Parker

  • Heterogeneous Multi-Robot Cooperation

    Lynne E. Parker

  • Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment and Detection

    Andrew Howard;Lynne E. Parker;Gaurav S. Sukhatme

  • Distributed Algorithms for Multi-Robot Observation of Multiple Moving Targets

    Lynne E. Parker

  • A distributed and optimal motion planning approach for multiple mobile robots

    Yi Guo;L.E. Parker

  • Designing control laws for cooperative agent teams

    L.E. Parker

  • ALLIANCE: an architecture for fault tolerant, cooperative control of heterogeneous mobile robots

    L.E. Parker

  • Building Multirobot Coalitions Through Automated Task Solution Synthesis

    L.E. Parker;Fang Tang

  • Cooperative Robotics for Multi-Target Observation

    Lynne E. Parker

  • Robot Teams: From Diversity to Polymorphism

    Tucker Balch;Lynne E. Parker

  • Editorial: Advances in Multi-Robot Systems

    Tamio Arai;Enrico Pagello;Lynne E. Parker

  • L-ALLIANCE : Task-oriented multi-robot learning in behavior-based systems

    L. E. Parker

  • On the design of behavior-based multi-robot teams

    Lynne E. Parker

  • Path Planning and Motion Coordination in Multiple Mobile Robot Teams

    Lynne E. Parker

  • Multi-Robot Systems: From Swarms to Intelligent Automata

    Alan C. Schultz;Lynne E. Parker

Frequent Co-Authors

Gianluca Antonelli
Gianluca Antonelli University of Cassino and Southern Lazio
Gaurav S. Sukhatme
Gaurav S. Sukhatme University of Southern California
Fabrizio Caccavale
Fabrizio Caccavale University of Basilicata
Tamio Arai
Tamio Arai University of Tokyo
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Robin R. Murphy
Robin R. Murphy Texas A&M University
Stefano Chiaverini
Stefano Chiaverini University of Cassino and Southern Lazio
Tucker Balch
Tucker Balch Emory University
C. Neal Stewart
C. Neal Stewart University of Tennessee at Knoxville

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Related Online Degrees & Career Pathways

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For those seeking quicker entry into the workforce, many well-paying opportunities stem from short term certificate programs, which can complement or substitute longer degree pathways in technical fields.

It’s also important to consider personal work preferences. Careers in Electronics and Electrical Engineering can align well with some of the best jobs for introverts, offering roles that fit individuals who prefer focused, independent work environments.

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