World's Best Scientists 2026 revealed!
Joseph R. Cavallaro

Joseph R. Cavallaro

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
51
Citations
9714
World Ranking
2685
National Ranking
1019

Computer Science

D-Index
51
Citations
9696
World Ranking
5376
National Ranking
2463

Joseph R. Cavallaro 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 Joseph R. Cavallaro 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: 382 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.

Joseph R. Cavallaro 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 Joseph R. Cavallaro 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Joseph R. Cavallaro is affiliated with Rice University in the United States. Their research spans several subfields within engineering and technology, focusing on both theoretical and applied aspects of signal processing and communication systems.

Their recent publications include investigations into radio frequency fingerprint identification, wireless communication techniques, and decoding architectures:

  • Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa (2022) published in IEEE Transactions on Information Forensics and Security
  • Radio Frequency Fingerprint Identification for Narrowband Systems, Modelling and Classification (2021) in IEEE Transactions on Information Forensics and Security
  • A Survey on High-Throughput Non-Binary LDPC Decoders: ASIC, FPGA, and GPU Architectures (2021) published in IEEE Communications Surveys & Tutorials
  • Toward Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification (2023) in IEEE Transactions on Information Forensics and Security
  • Radio Frequency Fingerprint Identification for Security in Low-Cost IoT Devices (2021) presented at the 55th Asilomar Conference on Signals, Systems, and Computers

Published frequently in major venues, they have contributed extensively to:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Circuits and Systems for Video Technology
  • arXiv (Cornell University)
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • IEEE Transactions on Information Forensics and Security

Their collaborative work reflects partnerships with several frequent co-authors including Manuel Delgado-Restituto, N Neihart, Alon Ascoli, Amara Amara, and Guoxing Wang, each having contributed to a significant number of publications alongside them.

Their academic focus is situated primarily within Electrical and Electronic Engineering, and spans overlapping areas of Artificial Intelligence, Cardiology and Cardiovascular Medicine, Computer Vision and Pattern Recognition, and Computer Networks and Communications.

Main research topics addressed by their work include:

  • Wireless Signal Modulation Classification
  • Full-Duplex Wireless Communications
  • Digital Media Forensic Detection
  • Radio Frequency Integrated Circuit Design
  • ECG Monitoring and Analysis
  • Error Correcting Code Techniques
  • Advanced Wireless Communication Techniques

Best Publications

  • Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations

    Michael Wu;Bei Yin;Guohui Wang;Chris Dick

  • Towards Scalable and Channel-Robust Radio Frequency Fingerprint Identification for LoRa

    Guanxiong Shen;Junqing Zhang;Alan Marshall;Joseph Cavallaro

  • CORDIC arithmetic for an SVD processor

    Joseph R. Cavallaro;Franklin T. Luk

  • Robotic fault detection and fault tolerance: A survey

    Monica L. Visinsky;Joseph R. Cavallaro;Ian D. Walker

  • A dynamic fault tolerance framework for remote robots

    M.L. Visinsky;J.R. Cavallaro;I.D. Walker

  • Approximate matrix inversion for high-throughput data detection in the large-scale MIMO uplink

    Michael Wu;Bei Yin;Aida Vosoughi;Christoph Studer

  • Integrated CAD framework linking VLSI layout editors and process simulators

    Chaitali Sengupta;Miklos Erdelyi;Zsolt Bor;Joseph R. Cavallaro

  • FPGA Implementation of Matrix Inversion Using QRD-RLS Algorithm

    M. Karkooti;J.R. Cavallaro;C. Dick

  • Conjugate gradient-based soft-output detection and precoding in massive MIMO systems

    Bei Yin;Michael Wu;Joseph R. Cavallaro;Christoph Studer

  • Semi-parallel reconfigurable architectures for real-time LDPC decoding

    M. Karkooti;J.R. Cavallaro

  • Radio Frequency Fingerprint Identification for Narrowband Systems, Modelling and Classification

    Junqing Zhang;Roger Woods;Magnus Sandell;Mikko Valkama

  • Numerical accuracy and hardware tradeoffs for CORDIC arithmetic for special-purpose processors

    K. Kota;J.R. Cavallaro

  • Efficient hardware implementation of a highly-parallel 3GPP LTE/LTE-advance turbo decoder

    Yang Sun;Joseph R. Cavallaro

  • Generation of diffraction-free beams for applications in optical microlithography

    Miklos Erdelyi;Zoltan L. Horvath;Gabor Szabo;Zs. Bor

  • Performance—Complexity Comparison of Receivers for a LTE MIMO–OFDM System

    Johanna Ketonen;Markku Juntti;Joseph R Cavallaro

  • WARP, a Unified Wireless Network Testbed for Education and Research

    K. Amiri;Yang Sun;P. Murphy;C. Hunter

  • Optimized Message Passing Schedules for LDPC Decoding

    P. Radosavljevic;A. de Baynast;J.R. Cavallaro

  • Decentralized Baseband Processing for Massive MU-MIMO Systems

    Kaipeng Li;Rishi R. Sharan;Yujun Chen;Tom Goldstein

  • Implementation trade-offs for linear detection in large-scale MIMO systems

    Bei Yin;Michael Wu;Christoph Studer;Joseph R. Cavallaro

  • Full-duplex in large-scale wireless systems

    Bei Yin;Michael Wu;Christoph Studer;Joseph R. Cavallaro

Frequent Co-Authors

Ian D. Walker
Ian D. Walker Clemson University
Behnaam Aazhang
Behnaam Aazhang Rice University
Markku Juntti
Markku Juntti University of Oulu
Frank K. Tittel
Frank K. Tittel Rice University
Mikko Valkama
Mikko Valkama Tampere University
Lauri Anttila
Lauri Anttila Tampere University
Shuvra S. Bhattacharyya
Shuvra S. Bhattacharyya University of Maryland, College Park
Jianzhong Zhang
Jianzhong Zhang Samsung (United States)
Ashutosh Sabharwal
Ashutosh Sabharwal Rice University

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