World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
17703
World Ranking
1792
National Ranking
905

Electronics and Electrical Engineering

D-Index
70
Citations
17459
World Ranking
930
National Ranking
390

David Z. Pan 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 David Z. Pan 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: 446 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: 544 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

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

David Z. Pan 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 David Z. Pan sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 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: 70 D-Index — 87th percentile

87% 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

  • 2017 - SPIE Fellow

Overview

David Z. Pan is affiliated with The University of Texas at Austin in the United States. Their research spans multiple intersecting domains primarily within engineering and computer science.

The main fields of study for their work include:

  • Engineering
  • Computer Science

Within these broad areas, their subfields of study cover:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

Research topics frequently addressed by David Z. Pan involve:

  • Neural Networks and Reservoir Computing
  • Optical Network Technologies
  • Photonic and Optical Devices
  • VLSI and FPGA Design Techniques
  • Advancements in Photolithography Techniques
  • Advancements in Semiconductor Devices and Circuit Design
  • VLSI and Analog Circuit Testing

Their recent scholarly contributions include papers such as:

  • "An Energy-Efficient Comparator With Dynamic Floating Inverter Amplifier," 2020, IEEE Journal of Solid-State Circuits
  • "Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Electronic-photonic arithmetic logic unit for high-speed computing," 2020, Nature Communications
  • "DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement," 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "A 13.5-ENOB, 107-μW Noise-Shaping SAR ADC With PVT-Robust Closed-Loop Dynamic Amplifier," 2020, IEEE Journal of Solid-State Circuits

Frequent coauthors in this research include:

  • Jiaqi Gu
  • Ray T. Chen
  • Zixuan Jiang
  • Keren Zhu
  • Hanqing Zhu

The venues where David Z. Pan has been regularly published consist of:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • IEEE Journal of Solid-State Circuits
  • 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
  • Conference on Lasers and Electro-Optics

David Z. Pan was recognized as an SPIE Fellow in 2017.

Best Publications

  • TSV stress-aware full-chip mechanical reliability analysis and optimization for 3D IC

    Moongon Jung;Joydeep Mitra;David Z. Pan;Sung Kyu Lim

  • AppSAT: Approximately deobfuscating integrated circuits

    Kaveh Shamsi;Meng Li;Travis Meade;Zheng Zhao

  • Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

    Unknown

  • Provably Secure Camouflaging Strategy for IC Protection

    Meng Li;Kaveh Shamsi;Travis Meade;Zheng Zhao

  • BoxRouter: A New Global Router Based on Box Expansion and Progressive ILP

    Minsik Cho;D.Z. Pan

  • Double Patterning Layout Decomposition for Simultaneous Conflict and Stitch Minimization

    Kun Yuan;Jae-Seok Yang;D.Z. Pan

  • Interconnect design for deep submicron ICs

    Jason Cong;Zhigang Pan;Lei He;Cheng-Kok Koh

  • An Energy-Efficient Comparator With Dynamic Floating Inverter Amplifier

    Xiyuan Tang;Linxiao Shen;Begum Kasap;Xiangxing Yang

  • CELONCEL: effective design technique for 3-D monolithic integration targeting high performance integrated circuits

    Shashikanth Bobba;Ashutosh Chakraborty;Olivier Thomas;Perrine Batude

  • Pushing ASIC performance in a power envelope

    Ruchir Puri;Leon Stok;John Cohn;David Kung

  • Improved crosstalk modeling for noise constrained interconnect optimization

    Jason Cong;David Zhigang Pan;Prasanna V. Srinivas

  • Buffer block planning for interconnect-driven floorplanning

    Jason Cong;Tianming Kong;David Zhigang Pan

  • Redundant-via enhanced maze routing for yield improvement

    Gang Xu;Li-Da Huang;David Z. Pan;Martin D. F. Wong

  • Layout Decomposition for Triple Patterning Lithography

    Bei Yu;Kun Yuan;Duo Ding;David Z. Pan

  • A3MAP: Architecture-aware analytic mapping for networks-on-chip

    Wooyoung Jang;David Z. Pan

  • Cyclic Obfuscation for Creating SAT-Unresolvable Circuits

    Kaveh Shamsi;Meng Li;Travis Meade;Zheng Zhao

  • A High-Performance Droplet Routing Algorithm for Digital Microfluidic Biochips

    Minsik Cho;D.Z. Pan

  • DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement

    Yibo Lin;Zixuan Jiang;Jiaqi Gu;Wuxi Li

  • Self-Aligned Double Patterning Aware Pin Access and Standard Cell Layout Co-Optimization

    Xiaoqing Xu;Brian Cline;Greg Yeric;Bei Yu

  • Layout decomposition for triple patterning lithography

    Bei Yu;Kun Yuan;Boyang Zhang;Duo Ding

  • TSV stress aware timing analysis with applications to 3D-IC layout optimization

    Jae-Seok Yang;Krit Athikulwongse;Young-Joon Lee;Sung Kyu Lim

  • RADAR: RET-aware detailed routing using fast lithography simulations

    Joydeep Mitra;Peng Yu;David Z. Pan

Frequent Co-Authors

Bei Yu
Bei Yu Chinese University of Hong Kong
Nan Sun
Nan Sun Tsinghua University
Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology
Yier Jin
Yier Jin University of Florida
Charles J. Alpert
Charles J. Alpert Cadence Design Systems
Richard A. Soref
Richard A. Soref University of Massachusetts Boston
Päivi Pajukanta
Päivi Pajukanta University of California, Los Angeles
Michael Orshansky
Michael Orshansky The University of Texas at Austin
Jason Cong
Jason Cong University of California, Los Angeles
Ru Huang
Ru Huang Peking University

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Related Online Degrees & Career Pathways

For those interested in expanding their expertise beyond traditional Electronics and Electrical Engineering, pursuing a master's in training and development online can open doors to careers in education technology and corporate training. Such degrees offer flexibility and practical skills relevant to engineering professionals looking to transition into leadership or instructional roles.

Many online programs now adopt a competency based universities approach, allowing students to progress based on demonstrated skills rather than traditional credit hours. This is particularly advantageous for working engineers wanting to accelerate their education while balancing professional responsibilities.

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Additionally, the rise of online colleges with flexible start dates ensures students can begin their studies when it suits them best, making it easier to integrate coursework into demanding work schedules or life changes. These options make advancing a career in electronics and electrical engineering more accessible than ever.

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