World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
7865
World Ranking
6893
National Ranking
3021

Nader Bagherzadeh publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Nader Bagherzadeh sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 364 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Nader Bagherzadeh D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Nader Bagherzadeh sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to the design and analysis of coarse-grained reconfigurable processor architectures

Overview

Nader Bagherzadeh is affiliated with the University of California, Irvine in the United States. Their research spans key areas in engineering and computer science, with a focus on electrical and electronic engineering, hardware and architecture, and artificial intelligence. The scientist's work also covers topics connected to computer vision and pattern recognition as well as cardiology and cardiovascular medicine.

The primary fields of study for Bagherzadeh include:

  • Engineering
  • Computer Science

Within these fields, their subfields of expertise consist of:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cardiology and Cardiovascular Medicine

The main research topics explored by Bagherzadeh cover:

  • Advanced Memory and Neural Computing
  • Parallel Computing and Optimization Techniques
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Hemodynamic Monitoring and Therapy
  • Heart Rate Variability and Autonomic Control
  • CCD and CMOS Imaging Sensors

Their recent publications demonstrate an interdisciplinary approach, combining aspects of hardware design and computational medicine. Notable papers include:

  • "Thermal TSV Optimization and Hierarchical Floorplanning for 3-D Integrated Circuits," 2020, published in IEEE Transactions on Components Packaging and Manufacturing Technology
  • "PLAM: A Posit Logarithm-Approximate Multiplier," 2021, published in IEEE Transactions on Emerging Topics in Computing
  • "A machine-learning approach to predicting hypotensive events in ICU settings," 2020, published in Computers in Biology and Medicine
  • "A high-performance fully programmable membership function generator based on 10 nm gate-all-around CNTFETs," 2020, published in AEU - International Journal of Electronics and Communications
  • "Predicting hypotension in the ICU using noninvasive physiological signals," 2020, published in Computers in Biology and Medicine

Bagherzadeh frequently collaborates with other researchers. Notable frequent coauthors are:

  • Keivan Navi
  • Mohammed Alnemari
  • Mina Chookhachizadeh Moghadam
  • Mohammad Hossein Moaiyeri
  • Masoomeh Jasemi

The scientist's research is disseminated primarily through several publication venues, including:

  • IEEE Transactions on Emerging Topics in Computing
  • arXiv (Cornell University)
  • Computers in Biology and Medicine
  • Computers & Electrical Engineering
  • IEEE Transactions on Components Packaging and Manufacturing Technology

In recognition of contributions to the field, Nader Bagherzadeh was named an IEEE Fellow in 2014 for work related to the design and analysis of coarse-grained reconfigurable processor architectures.

Best Publications

  • MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications

    H. Singh;Ming-Hau Lee;Guangming Lu;F.J. Kurdahi

  • Design and Implementation of the MorphoSys Reconfigurable ComputingProcessor

    Ming-Hau Lee;Hartej Singh;Guangming Lu;Nader Bagherzadeh

  • Novel Robust Single Layer Wire Crossing Approach for Exclusive OR Sum of Products Logic Design with Quantum-Dot Cellular Automata

    Shaahin Angizi;Esam Alkaldy;Nader Bagherzadeh;Keivan Navi

  • Power-aware scheduling under timing constraints for mission-critical embedded systems

    Jinfeng Liu;Pai H. Chou;Nader Bagherzadeh;Fadi Kurdahi

  • A Wireless Network-on-Chip Design for Multicore Platforms

    Chifeng Wang;Wen-Hsiang Hu;Nader Bagherzadeh

  • Optimal ring embedding in hypercubes with faulty links

    S. Latifi;S.-Q. Zheng;N. Bagherzadeh

  • A scalable register file architecture for dynamically scheduled processors

    S. Wallace;N. Bagherzadeh

  • A framework for reconfigurable computing: task scheduling and context management

    R. Maestre;F.J. Kurdahi;M. Fernandez;R. Hermida

  • Performance study of a multithreaded superscalar microprocessor

    M. Gulati;N. Bagherzadeh

  • Efficient Mitchell’s Approximate Log Multipliers for Convolutional Neural Networks

    Min Soo Kim;Alberto A. Del Barrio;Leonardo Tavares Oliveira;Roman Hermida

  • A variable frequency link for a power-aware network-on-chip (NoC)

    Seung Eun Lee;Nader Bagherzadeh

  • The MorphoSys Parallel Reconfigurable System

    Guangming Lu;Hartej Singh;Ming-Hau Lee;Nader Bagherzadeh

  • A routing and broadcasting scheme on faulty star graphs

    N. Bagherzadeh;N. Nassif;S. Latifi

  • MorphoSys: case study of a reconfigurable computing system targeting multimedia applications

    Hartej Singh;Guangming Lu;Eliseu Filho;Rafael Maestre

  • Designing quantum-dot cellular automata counters with energy consumption analysis

    Shaahin Angizi;Mohammad Hossein Moaiyeri;Shohreh Farrokhi;Keivan Navi

  • The MorphoSys dynamically reconfigurable system-on-chip

    Guangming Lu;H. Singh;Ming-Hau Lee;N. Bagherzadeh

  • A compiler framework for mapping applications to a coarse-grained reconfigurable computer architecture

    Girish Venkataramani;Walid Najjar;Fadi Kurdahi;Nader Bagherzadeh

  • MorphoSys: An Integrated Re-configurable Architecture

    Hartej Singh;Ming-Hau Lee;Guangming Lu;Fadi J. Kurdahi

  • Interactive Ray Tracing on Reconfigurable SIMD MorphoSys

    H. Du;M. Sanchez-Elez;N. Tabrizi;N. Bagherzadeh

  • Multiple branch and block prediction

    S. Wallace;N. Bagherzadeh

Frequent Co-Authors

Keivan Navi
Keivan Navi Shahid Beheshti University
Fadi J. Kurdahi
Fadi J. Kurdahi University of California, Irvine
Pai H. Chou
Pai H. Chou University of California, Irvine
Mohammad Hossein Moaiyeri
Mohammad Hossein Moaiyeri Shahid Beheshti University
Shaahin Angizi
Shaahin Angizi New Jersey Institute of Technology
Ozdal Boyraz
Ozdal Boyraz University of California, Irvine
Masoud Daneshtalab
Masoud Daneshtalab Mälardalen University
Zeev N. Kain
Zeev N. Kain University of California, Irvine
Walid Najjar
Walid Najjar University of California, Riverside
Deliang Fan
Deliang Fan Johns Hopkins University

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