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 34 5688 5461 1933 1803 384 8657

Paul D. Franzon publications per year

The chart shows the history of publications by Paul D. Franzon between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Paul D. Franzon published across 40 years, from 1986 to 2025, averaging 10.5 papers a year. Output peaked at 29 publications in 2012. 23 of the 420 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2012. 1986: 1 publication 1987: 2 publications 1988: 1 publication 1989: 1 publication 1990: 3 publications 1991: 4 publications 1992: 6 publications 1993: 13 publications 1994: 8 publications 1995: 8 publications 1996: 8 publications 1997: 11 publications 1998: 6 publications 1999: 13 publications 2000: 3 publications 2001: 11 publications 2002: 8 publications 2003: 8 publications 2004: 15 publications 2005: 28 publications 2006: 17 publications 2007: 17 publications 2008: 13 publications 2009: 17 publications 2010: 12 publications 2011: 13 publications 2012: 29 publications 2013: 20 publications 2014: 14 publications 2015: 7 publications 2016: 14 publications 2017: 4 publications 2018: 10 publications 2019: 13 publications 2020: 10 publications 2021: 12 publications 2022: 8 publications 2023: 9 publications 2024: 15 publications 2025: 8 publications
1986 2025

420 publications in total across all disciplines

View publications per year as a table
Paul D. Franzon: publications per year, 1986 to 2025
Year Publications
1986 1
1987 2
1988 1
1989 1
1990 3
1991 4
1992 6
1993 13
1994 8
1995 8
1996 8
1997 11
1998 6
1999 13
2000 3
2001 11
2002 8
2003 8
2004 15
2005 28
2006 17
2007 17
2008 13
2009 17
2010 12
2011 13
2012 29
2013 20
2014 14
2015 7
2016 14
2017 4
2018 10
2019 13
2020 10
2021 12
2022 8
2023 9
2024 15
2025 8
Total 420
Download as CSV

Paul D. Franzon 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 Paul D. Franzon 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, 374–393 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: 384 publications — 72nd percentile

72% 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
374–393 187 384
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
Download as CSV

Paul D. Franzon 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 Paul D. Franzon 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, 34 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: 34 D-Index — 18th percentile

18% 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 34
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
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

  • 2006 - IEEE Fellow For contributions to chip-package codesign.

Overview

Paul D. Franzon is affiliated with North Carolina State University in the United States. Their research spans several fields within computer science and engineering, with particular emphasis on electrical and electronic engineering, artificial intelligence, hardware and architecture, computational theory and mathematics, and computer vision and pattern recognition.

Their notable research topics include:

  • 3D IC and TSV technologies
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Multi-Objective Optimization Algorithms
  • VLSI and FPGA Design Techniques
  • Cryptographic Implementations and Security
  • Advanced Malware Detection Techniques
  • Radio Frequency Integrated Circuit Design

Paul D. Franzon has contributed to a variety of papers published in diverse venues. Some recent examples include:

  • "2Deep: Enhancing Side-Channel Attacks on Lattice-Based Key-Exchange via 2-D Deep Learning," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Multi-Fidelity Surrogate-Based Optimization for Electromagnetic Simulation Acceleration," 2020, ACM Transactions on Design Automation of Electronic Systems
  • "Self-Evolution Cascade Deep Learning Model for High-Speed Receiver Adaptation," 2020, IEEE Transactions on Components Packaging and Manufacturing Technology
  • "RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost," 2024, ACM Transactions on Reconfigurable Technology and Systems
  • "Design Obfuscation Through 3-D Split Fabrication With Smart Partitioning," 2022, IEEE Transactions on Very Large Scale Integration (VLSI) Systems

The researcher has frequently published in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Components Packaging and Manufacturing Technology
  • SSRN Electronic Journal
  • ACM Journal on Emerging Technologies in Computing Systems
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Paul D. Franzon often collaborates with several frequent co-authors, including:

  • Eren Kurshan
  • Priyank Kashyap
  • Joshua Schabel
  • Aydın Aysu
  • Luis Francisco

The main fields of study represented in their publications are Computer Science and Engineering, with a strong focus on Electrical and Electronic Engineering as a subfield.

Among their accolades, Paul D. Franzon was named IEEE Fellow in 2006 for contributions to chip-package codesign.

Best Publications

  • Demystifying 3D ICs: the pros and cons of going vertical

    W.R. Davis;J. Wilson;S. Mick;J. Xu

  • A review of 3-D packaging technology

    S.F. Al-Sarawi;D. Abbott;P.D. Franzon

  • FreePDK: An Open-Source Variation-Aware Design Kit

    J.E. Stine;I. Castellanos;M. Wood;J. Henson

  • Molecular electronics: from devices and interconnect to circuits and architecture

    M.R. Stan;P.D. Franzon;S.C. Goldstein;J.C. Lach

  • An electronically tunable microstrip bandpass filter using thin-film Barium-Strontium-Titanate (BST) varactors

    J. Nath;D. Ghosh;J.-P. Maria;A.I. Kingon

  • Multichip Module Technologies and Alternatives: The Basics

    Daryl Ann Doane;Paul D. Franzon

  • Nanocell logic gates for molecular computing

    J.M. Tour;W.L. Van Zandt;C.P. Husband;S.M. Husband

  • Overview of RFID Technology and Its Applications in the Food Industry

    P. Kumar;H.W. Reinitz;J. Simunovic;K.P. Sandeep

  • Controllable molecular modulation of conductivity in silicon-based devices.

    Tao He;David A. Corley;Meng Lu;Neil Halen Di Spigna

  • Design and CAD for 3D integrated circuits

    Paul D. Franzon;W. Rhett Davis;Michael B. Steer;Steve Lipa

  • NanoCell Electronic Memories

    James M. Tour;Long Cheng;David P. Nackashi;Yuxing Yao

  • Configurable string matching hardware for speeding up intrusion detection

    Monther Aldwairi;Thomas Conte;Paul Franzon

  • Demystifying Surrogate Modeling for Circuits and Systems

    M. B. Yelten;Ting Zhu;S. Koziel;P. D. Franzon

  • Energy consumption modeling and optimization for SRAM's

    R.J. Evans;P.D. Franzon

  • An engineered virus as a scaffold for three-dimensional self-assembly on the nanoscale.

    Amy Szuchmacher Blum;Carissa M. Soto;Charmaine D. Wilson;Tina L. Brower

  • A compact dielectric elastomer tubular actuator for refreshable Braille displays

    P. Chakraborti;H.A. Karahan Toprakci;P. Yang;N. Di Spigna

  • Controlled Modulation of Conductance in Silicon Devices by Molecular Monolayers

    Tao He;Jianli He;Meng Lu;Bo Chen

  • 3 gb/s AC coupled chip-to-chip communication using a low swing pulse receiver

    Lei Luo;J.M. Wilson;S.E. Mick;Jian Xu

  • 4 Gbps high-density AC coupled interconnection

    S. Mick;J. Wilson;P. Franzon

  • Through Silicon Via(TSV) defect/pinhole self test circuit for 3D-IC

    Menglin Tsai;Amy Klooz;Alexander Leonard;Jennie Appel

Frequent Co-Authors

Michael B. Steer
Michael B. Steer North Carolina State University
Jian Xu
Jian Xu Pennsylvania State University
Angus I. Kingon
Angus I. Kingon Brown University
Wentai Liu
Wentai Liu University of California, Los Angeles
James M. Tour
James M. Tour Rice University
Thomas M. Conte
Thomas M. Conte Georgia Institute of Technology
Veena Misra
Veena Misra North Carolina State University
Frederick A. Ware
Frederick A. Ware Rambus (United Kingdom)
Huiyang Zhou
Huiyang Zhou North Carolina State University
Mehmet Rasit Yuce
Mehmet Rasit Yuce Monash University

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 those interested in Electronics and Electrical Engineering, exploring related online degrees can open diverse career opportunities. Programs like an instructional design degree online offer a unique path to develop skills in creating educational technologies and training materials, bridging engineering concepts with teaching expertise.

Competency-based programs have gained popularity for their flexible approach, allowing students to progress at their own pace by demonstrating mastery in specific skills. This model is ideal for working professionals or those balancing other responsibilities. More details can be found in the competency based programs resource.

Military spouses and dependents often seek educational options that accommodate the unpredictability of military life. The availability of supportive institutions is crucial, and those interested may benefit from reviewing the best choices for a military spouse online college.

Flexibility in starting dates can make a significant difference for students managing busy schedules. Many online programs now offer multiple entry points throughout the year. For those wanting a flexible timeline, exploring online universities with multiple start dates is a smart option.

Best Scientists Citing Paul D. Franzon

Trending Scientists