World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
57
Citations
11233
World Ranking
1993
National Ranking
782

Computer Science

D-Index
57
Citations
11619
World Ranking
3880
National Ranking
1835

Frank Vahid 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 Frank Vahid 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: 237 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Frank Vahid 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 Frank Vahid 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: 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.

Overview

Frank Vahid is affiliated with the University of California, Riverside, in the United States. Their research primarily spans the field of Computer Science, with a focus on applications within this domain. The subfields of study include Computer Science Applications, Education, Media Technology, Software, and Information Systems.

The scientist's work centers on topics such as Teaching and Learning Programming, Online Learning and Analytics, Experimental Learning in Engineering, Innovative Teaching Methods, Software Testing and Debugging Techniques, Open Education and E-Learning, and Library Collection Development and Digital Resources.

Frequent collaborators include Roman Lysecky, Chelsea Gordon, Joe Allen, Alex Edgcomb, and Nabeel Alzahrani.

Frank Vahid has contributed to several publications in notable venues such as the 2021 ASEE Virtual Annual Conference Content Access Proceedings, the 2020 ASEE Virtual Annual Conference Content Access Proceedings, the 2021 IEEE Frontiers in Education Conference (FIE), IEEE Transactions on Education, and the International Journal of Research in Education and Science.

  • "The shift from static college textbooks to customizable content: A case study at zyBooks," 2021, 2021 IEEE Frontiers in Education Conference (FIE)
  • "The Rise of Program Auto-grading in Introductory CS Courses: A Case Study of zyLabs," 2024, 2021 ASEE Virtual Annual Conference Content Access Proceedings
  • "Improving Pass Rates by Switching from a Passive to an Active Learning Textbook in CS0," 2020, 2020 ASEE Virtual Annual Conference Content Access Proceedings
  • "Common Logic Errors for Programming Learners: A Three-decade Literature Survey," 2021, 2021 ASEE Virtual Annual Conference Content Access Proceedings
  • "Less Is More: Students Skim Lengthy Online Textbooks," 2022, IEEE Transactions on Education

Best Publications

  • Specification and Design of Embedded Systems

    Daniel D. Gajski;Frank Vahid;Sanjiv Narayan;Jie Gong

  • Embedded System Design: A Unified Hardware / Software Introduction

    Frank Vahid;Tony Givargis

  • A Survey on Concepts, Applications, and Challenges in Cyber-Physical Systems

    Volkan Gunes;Steffen Peter;Tony Givargis;Frank Vahid

  • A highly configurable cache architecture for embedded systems

    Chuanjun Zhang;Frank Vahid;Walid Najjar

  • Specification and design of embedded hardware-software systems

    D.D. Gajski;F. Vahid

  • System-level exploration for pareto-optimal configurations in parameterized systems-on-a-chip

    Tony Givargis;Frank Vahid;Jörg Henkel

  • A quantitative analysis of the speedup factors of FPGAs over processors

    Zhi Guo;Walid Najjar;Frank Vahid;Kees Vissers

  • Platune: a tuning framework for system-on-a-chip platforms

    T. Givargis;F. Vahid

  • Dynamic hardware/software partitioning: a first approach

    Greg Stitt;Roman Lysecky;Frank Vahid

  • A binary-constraint search algorithm for minimizing hardware during hardware/software partitioning

    Frank Vahid;Daniel D. Gajski;Jie Gong

  • Warp Processors

    Roman Lysecky;Greg Stitt;Frank Vahid

  • A self-tuning cache architecture for embedded systems

    Chuanjun Zhang;Frank Vahid;Roman Lysecky

  • Specification partitioning for system design

    F. Vahid;D. D. Gajski

  • A Way-Halting Cache for Low-Energy High-Performance Systems

    Chuanjun Zhang;F. Vahid;Jun Yang;W. Walid

  • SpecSyn: an environment supporting the specify-explore-refine paradigm for hardware/software system design

    D.D. Gajski;F. Vahid;S. Narayan;Jie Gong

  • A way-halting cache for low-energy high-performance systems

    Chuanjun Zhang;Frank Vahid;Jun Yang;Walid Najjar

  • A way-halting cache for low-energy high-performance systems

    Chuanjun Zhang;Frank Vahid;Jun Yang;Walid Najjar

  • Enabling nonexpert construction of basic sensor-based systems

    Susan Lysecky;Frank Vahid

  • A Study of the Speedups and Competitiveness of FPGA Soft Processor Cores using Dynamic Hardware/Software Partitioning

    Roman Lysecky;Frank Vahid

  • Fast Configurable-Cache Tuning With a Unified Second-Level Cache

    A. Gordon-Ross;F. Vahid;N.D. Dutt

Frequent Co-Authors

Daniel D. Gajski
Daniel D. Gajski University of California, Irvine
Walid Najjar
Walid Najjar University of California, Riverside
Jorg Henkel
Jorg Henkel Karlsruhe Institute of Technology
Nikil Dutt
Nikil Dutt University of California, Irvine
Stefano Lonardi
Stefano Lonardi University of California, Riverside
Jun Yang
Jun Yang University of Pittsburgh
Rakesh Kumar
Rakesh Kumar University of Illinois at Urbana-Champaign
Dean M. Tullsen
Dean M. Tullsen University of California, San Diego
Yonghui Wu
Yonghui Wu Google (United States)
Luciano Lavagno
Luciano Lavagno Polytechnic University of Turin

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