H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 63 Citations 13,398 385 World Ranking 442 National Ranking 226
Computer Science H-index 73 Citations 19,779 498 World Ranking 652 National Ranking 397

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to architectures and design tools for signal processing and networking accelerators

2020 - Fellow, National Academy of Inventors

2017 - Fellow of the American Association for the Advancement of Science (AAAS)

2003 - IEEE Kiyo Tomiyasu Award "For pioneering contributions to highspeed and low-power digital signal processing architectures for broadband communications systems."

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Artificial intelligence
  • Statistics

His scientific interests lie mostly in Parallel computing, Algorithm, Very-large-scale integration, Decoding methods and Electronic engineering. His work deals with themes such as Fast Fourier transform and Latency, which intersect with Parallel computing. His research in Algorithm intersects with topics in Digital filter, Upper and lower bounds, Wavelet transform and Filter design.

His Digital filter study integrates concerns from other disciplines, such as Theoretical computer science, Adaptive filter, Interleaving, Signal processing and Finite impulse response. His research integrates issues of Parallel algorithm, Algorithm design, Cryptography and Finite field in his study of Very-large-scale integration. His biological study spans a wide range of topics, including Round-off error, Multiplexer, Adder and Equalization.

His most cited work include:

  • Vlsi Digital Signal Processing Systems: Design And Implementation (1029 citations)
  • High-speed VLSI architectures for the AES algorithm (357 citations)
  • VLSI architectures for discrete wavelet transforms (357 citations)

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

Keshab K. Parhi mostly deals with Algorithm, Parallel computing, Electronic engineering, Decoding methods and Very-large-scale integration. In his study, Filter is strongly linked to Digital filter, which falls under the umbrella field of Algorithm. His Parallel computing study incorporates themes from Digital signal processing and Adder.

Digital signal processing is a subfield of Computer hardware that Keshab K. Parhi explores. His Electronic engineering research focuses on Finite impulse response and CMOS. His research investigates the connection with Turbo code and areas like Serial concatenated convolutional codes which intersect with concerns in Error floor.

He most often published in these fields:

  • Algorithm (27.47%)
  • Parallel computing (25.78%)
  • Electronic engineering (17.32%)

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

  • Algorithm (27.47%)
  • Artificial intelligence (9.11%)
  • Pattern recognition (7.16%)

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

His primary areas of study are Algorithm, Artificial intelligence, Pattern recognition, Artificial neural network and Computation. His Algorithm research includes elements of Electronic circuit, Theoretical computer science and Coding. The concepts of his Artificial intelligence study are interwoven with issues in Graph and Computer vision.

His study in the fields of Support vector machine, Feature selection and Classifier under the domain of Pattern recognition overlaps with other disciplines such as Major depressive disorder. Computation connects with themes related to Fast Fourier transform in his study. He interconnects Algorithm design and Communication channel in the investigation of issues within Decoding methods.

Between 2014 and 2021, his most popular works were:

  • Blood Vessel Segmentation of Fundus Images by Major Vessel Extraction and Subimage Classification (177 citations)
  • Iterative Vessel Segmentation of Fundus Images (147 citations)
  • Low-Latency Successive-Cancellation List Decoders for Polar Codes With Multibit Decision (99 citations)

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

  • Algorithm
  • Artificial intelligence
  • Statistics

His main research concerns Artificial intelligence, Pattern recognition, Algorithm, Segmentation and Image segmentation. His Artificial intelligence study combines topics from a wide range of disciplines, such as Infomax, Blind signal separation and Group. The study incorporates disciplines such as False positive rate and Human Connectome Project in addition to Pattern recognition.

His Algorithm research is multidisciplinary, incorporating perspectives in Digital filter, Theoretical computer science, Perceptron and Trigonometric functions. His work in Fast Fourier transform addresses subjects such as Overhead, which are connected to disciplines such as Digital signal processing. His study in Decoding methods is interdisciplinary in nature, drawing from both Sorting, Very-large-scale integration and Critical path method.

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

Vlsi Digital Signal Processing Systems: Design And Implementation

Keshab K. Parhi.
(2007)

1637 Citations

VLSI architectures for discrete wavelet transforms

K.K. Parhi;T. Nishitani.
IEEE Transactions on Very Large Scale Integration Systems (1993)

547 Citations

High-speed VLSI architectures for the AES algorithm

Xinmiao Zhang;K.K. Parhi.
IEEE Transactions on Very Large Scale Integration Systems (2004)

540 Citations

VLSI digital signal processing systems

Keshab K. Parhi.
(1999)

506 Citations

Static rate-optimal scheduling of iterative data-flow programs via optimum unfolding

K.K. Parhi;D.G. Messerschmitt.
IEEE Transactions on Computers (1991)

488 Citations

Pipeline interleaving and parallelism in recursive digital filters. I. Pipelining using scattered look-ahead and decomposition

K.K. Parhi;D.G. Messerschmitt.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)

459 Citations

Seizure prediction with spectral power of EEG using cost-sensitive support vector machines

Yun Park;Lan Luo;Keshab K. Parhi;Theoden Netoff.
Epilepsia (2011)

358 Citations

Low-Energy Digit-Serial/Parallel Finite Field Multipliers

Leilei Song;Keshab K. Parhi.
application specific systems architectures and processors (1998)

308 Citations

Distributed scheduling of broadcasts in a radio network

R. Ramaswami;K.K. Parhi.
international conference on computer communications (1989)

291 Citations

DREAM: diabetic retinopathy analysis using machine learning.

Sohini Roychowdhury;Dara D. Koozekanani;Keshab K. Parhi.
IEEE Journal of Biomedical and Health Informatics (2014)

272 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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