H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 37 Citations 6,017 238 World Ranking 5168 National Ranking 2542

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Algorithm
  • Artificial intelligence

Joseph R. Cavallaro mostly deals with Parallel computing, MIMO, Throughput, Low-density parity-check code and Electronic engineering. His research in Parallel computing intersects with topics in Kernel, Turbo code, Soft-decision decoder and Graphics. His MIMO research integrates issues from Algorithm, Telecommunications link and Detector.

His Low-density parity-check code study incorporates themes from Belief propagation and CUDA. His work carried out in the field of Electronic engineering brings together such families of science as Spatial multiplexing, Orthogonal frequency-division multiplexing and Communications system. His studies deal with areas such as Computer hardware and 3G MIMO as well as Multi-user MIMO.

His most cited work include:

  • Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementations (245 citations)
  • A dynamic fault tolerance framework for remote robots (165 citations)
  • Integrated CAD framework linking VLSI layout editors and process simulators (150 citations)

What are the main themes of his work throughout his whole career to date?

Joseph R. Cavallaro mainly focuses on MIMO, Electronic engineering, Algorithm, Parallel computing and Wireless. Joseph R. Cavallaro has researched MIMO in several fields, including Real-time computing, Telecommunications link and Detector. The Detector study combines topics in areas such as Computer hardware, Throughput and Bit error rate.

His study in Electronic engineering is interdisciplinary in nature, drawing from both Antenna, Predistortion, Orthogonal frequency-division multiplexing and Single antenna interference cancellation. The various areas that he examines in his Parallel computing study include Decoding methods, Low-density parity-check code, Soft-decision decoder and Turbo code. His Wireless research incorporates elements of Computer network and Embedded system.

He most often published in these fields:

  • MIMO (25.39%)
  • Electronic engineering (23.06%)
  • Algorithm (18.39%)

What were the highlights of his more recent work (between 2014-2021)?

  • MIMO (25.39%)
  • Multi-user MIMO (7.25%)
  • Electronic engineering (23.06%)

In recent papers he was focusing on the following fields of study:

His main research concerns MIMO, Multi-user MIMO, Electronic engineering, Predistortion and Baseband. His MIMO research is multidisciplinary, relying on both Base station, Detector, Orthogonal frequency-division multiplexing and Coordinate descent. His studies in Orthogonal frequency-division multiplexing integrate themes in fields like Multiplexing and Real-time computing.

His work deals with themes such as Antenna array, Beamforming, Chip, Spectral efficiency and Telecommunications link, which intersect with Multi-user MIMO. The study incorporates disciplines such as Linearization, Transmission, Adjacent channel, Field-programmable gate array and Antenna in addition to Electronic engineering. His Baseband study combines topics in areas such as Computer hardware, Embedded system, Bandwidth and Frequency domain.

Between 2014 and 2021, his most popular works were:

  • Indoor Localization Using 802.11 Time Differences of Arrival (56 citations)
  • Decentralized Baseband Processing for Massive MU-MIMO Systems (47 citations)
  • High-Throughput Data Detection for Massive MU-MIMO-OFDM Using Coordinate Descent (46 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Algorithm
  • Telecommunications

The scientist’s investigation covers issues in MIMO, Multi-user MIMO, Baseband, Electronic engineering and Orthogonal frequency-division multiplexing. His MIMO research is multidisciplinary, incorporating perspectives in Computer hardware, Pipeline, Parallel computing, Telecommunications link and General-purpose computing on graphics processing units. His Parallel computing research includes elements of Minimum mean square error, 3G MIMO and Cholesky decomposition.

His Multi-user MIMO study combines topics from a wide range of disciplines, such as Scalability, Antenna array, Computer engineering, Beamforming and Precoding. His work carried out in the field of Electronic engineering brings together such families of science as Spurious relationship, Predistortion and Detector. Joseph R. Cavallaro combines subjects such as Multiplexing, Real-time computing and Time of arrival with his study of Orthogonal frequency-division multiplexing.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Michael Wu;Bei Yin;Guohui Wang;Chris Dick.
IEEE Journal of Selected Topics in Signal Processing (2014)

319 Citations

CORDIC arithmetic for an SVD processor

Joseph R. Cavallaro;Franklin T. Luk.
Journal of Parallel and Distributed Computing (1988)

249 Citations

A dynamic fault tolerance framework for remote robots

M.L. Visinsky;J.R. Cavallaro;I.D. Walker.
international conference on robotics and automation (1995)

235 Citations

Integrated CAD framework linking VLSI layout editors and process simulators

Chaitali Sengupta;Miklos Erdelyi;Zsolt Bor;Joseph R. Cavallaro.
Proceedings of SPIE, the International Society for Optical Engineering (1996)

228 Citations

Robotic fault detection and fault tolerance: A survey

Monica L. Visinsky;Joseph R. Cavallaro;Ian D. Walker.
Reliability Engineering & System Safety (1994)

210 Citations

FPGA Implementation of Matrix Inversion Using QRD-RLS Algorithm

M. Karkooti;J.R. Cavallaro;C. Dick.
asilomar conference on signals, systems and computers (2005)

198 Citations

Semi-parallel reconfigurable architectures for real-time LDPC decoding

M. Karkooti;J.R. Cavallaro.
international conference on information technology coding and computing (2004)

186 Citations

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

Michael Wu;Bei Yin;Aida Vosoughi;Christoph Studer.
international symposium on circuits and systems (2013)

164 Citations

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

K. Kota;J.R. Cavallaro.
IEEE Transactions on Computers (1993)

163 Citations

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

Yang Sun;Joseph R. Cavallaro.
Integration (2011)

144 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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