World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
45
Citations
8981
World Ranking
3518
National Ranking
1302

Computer Science

D-Index
45
Citations
8883
World Ranking
7164
National Ranking
3138

Partha Pratim Pande 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 Partha Pratim Pande 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: 265 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Partha Pratim Pande 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 Partha Pratim Pande 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: 45 D-Index — 50th percentile

50% 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

  • 2020 - IEEE Fellow For contributions to network-on-chip architectures for manycore computing

Overview

Partha Pratim Pande is affiliated with Washington State University in the United States. Their research spans multiple fields related to engineering and computer science, with a particular focus on electrical and electronic engineering, computer networks and communications, computer vision and pattern recognition, artificial intelligence, and hardware and architecture.

The scientist's work encompasses several main topics, including:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Interconnection Networks and Systems
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • 3D IC and TSV technologies
  • Advanced Graph Neural Networks

Key recent publications illustrate their engagement with neural network training, memory technologies, and computing architectures. Notable papers include:

  • "AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture" (2020) published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise" (2021) presented at the 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
  • "Performance and Accuracy Tradeoffs for Training Graph Neural Networks on ReRAM-Based Architectures" (2021) in IEEE Transactions on Very Large Scale Integration (VLSI) Systems
  • "SWAP: A Server-Scale Communication-Aware Chiplet-Based Manycore PIM Accelerator" (2022) published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "Chip and Package-Scale Interconnects for General-Purpose, Domain-Specific, and Quantum Computing Systems-Overview, Challenges, and Opportunities" (2024) published in IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Frequent collaborators include Janardhan Rao Doppa, Krishnendu Chakrabarty, Biresh Kumar Joardar, Ümit Y. Ogras, and Harsh Sharma.

Partha Pratim Pande has contributed extensively to several publication venues, including:

  • IEEE Design and Test
  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • ACM Transactions on Design Automation of Electronic Systems
  • ACM Transactions on Embedded Computing Systems

The recognition of their work includes being named an IEEE Fellow in 2020, credited for contributions to network-on-chip architectures for manycore computing.

Best Publications

  • Performance evaluation and design trade-offs for network-on-chip interconnect architectures

    Partha Pratim Pande;C. Grecu;M. Jones;A. Ivanov

  • Networks-on-Chip in a Three-Dimensional Environment: A Performance Evaluation

    B.S. Feero;P.P. Pande

  • System-on-Chip: Reuse and Integration

    R. Saleh;S. Wilton;S. Mirabbasi;A. Hu

  • Wireless NoC as Interconnection Backbone for Multicore Chips: Promises and Challenges

    S. Deb;A. Ganguly;P. P. Pande;B. Belzer

  • Scalable Hybrid Wireless Network-on-Chip Architectures for Multicore Systems

    A. Ganguly;K. Chang;S. Deb;P. P. Pande

  • Design of a switch for network on chip applications

    P.P. Pande;C. Grecu;A. Ivanov;R. Saleh

  • Design, synthesis, and test of networks on chips

    P.P. Pande;C. Grecu;A. Ivanov;R. Saleh

  • Networks-on-chip in emerging interconnect paradigms: Advantages and challenges

    Luca P. Carloni;Partha Pande;Yuan Xie

  • Design of an Energy-Efficient CMOS-Compatible NoC Architecture with Millimeter-Wave Wireless Interconnects

    Sujay Deb;Kevin Chang;Xinmin Yu;Suman Prasad Sah

  • Performance evaluation and design trade-offs for wireless network-on-chip architectures

    Kevin Chang;Sujay Deb;Amlan Ganguly;Xinmin Yu

  • Crosstalk-Aware Channel Coding Schemes for Energy Efficient and Reliable NOC Interconnects

    A. Ganguly;P.P. Pande;B. Belzer

  • BIST for network-on-chip interconnect infrastructures

    C. Grecu;P. Pande;A. Ivanov;R. Saleh

  • Architecture and Design of Multichannel Millimeter-Wave Wireless NoC

    Xinmin Yu;Joe Baylon;Paul Wettin;Deukhyoun Heo

  • Enhancing performance of network-on-chip architectures with millimeter-wave wireless interconnects

    Sujay Deb;Amlan Ganguly;Kevin Chang;Partha Pande

  • On-line fault detection and location for NoC interconnects

    C. Grecu;A. Ivanov;R. Saleh;E.S. Sogomonyan

  • A 1.2-pJ/bit 16-Gb/s 60-GHz OOK Transmitter in 65-nm CMOS for Wireless Network-On-Chip

    Xinmin Yu;Suman Prasad Sah;Hooman Rashtian;Shahriar Mirabbasi

  • On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems

    Wonje Choi;Karthi Duraisamy;Ryan Gary Kim;Janardhan Rao Doppa

  • Performance Evaluation for Three-Dimensional Networks-On-Chip

    B. Feero;P.P. Pande

  • Testing Network-on-Chip Communication Fabrics

    C. Grecu;A. Ivanov;R. Saleh;P.P. Pande

  • High-throughput switch-based interconnect for future SoCs

    P.P. Pande;C. Grecu;A. Ivanov;R. Saleh

  • Methodologies and algorithms for testing switch-based NoC interconnects

    C. Grecu;P. Pande;Baosheng Wang;A. Ivanov

  • System-on-Chip: Reuse and Integration Pre-designed and pre-verified hardware and software blocks can be combined on chips for many different applicationsVthey promise large productivity gains.

    Resve Saleh;Shahriar Mirabbasi;Mark Greenstreet;Guy Lemieux

Frequent Co-Authors

Deukhyoun Heo
Deukhyoun Heo Washington State University
Andre Ivanov
Andre Ivanov University of British Columbia
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Radu Marculescu
Radu Marculescu The University of Texas at Austin
Diana Marculescu
Diana Marculescu The University of Texas at Austin
Shahriar Mirabbasi
Shahriar Mirabbasi University of British Columbia
Paul Bogdan
Paul Bogdan University of Southern California
Resve Saleh
Resve Saleh University of British Columbia
Jonghoon Kim
Jonghoon Kim Chungnam National University
Umit Y. Ogras
Umit Y. Ogras University of Wisconsin–Madison

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 expanding their expertise beyond traditional Electronics and Electrical Engineering, pursuing an instructional design masters degree online offers a pathway into educational technology and curriculum development. This is especially valuable for engineers looking to transition into training or development roles.

Competency-based education is another flexible option, enabling students to progress by proving their skills rather than time spent in class. Exploring the best competency-based colleges can help learners find tailored programs that match their pace and experience.

For military families, education access can be challenging due to frequent moves and deployments. Fortunately, there are numerous military spouse friendly online colleges designed to support these unique circumstances, offering flexible learning schedules and dedicated resources.

Additionally, choosing from online colleges with frequent start dates allows students to begin their programs without waiting for traditional academic calendars, making it easier to fit education into busy or unpredictable lives.

Best Scientists Citing Partha Pratim Pande

Trending Scientists

Recently Published Articles