H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 50 Citations 13,461 117 World Ranking 2833 National Ranking 1497
Electronics and Electrical Engineering D-index 51 Citations 13,594 110 World Ranking 1084 National Ranking 503

Research.com Recognitions

Awards & Achievements

2016 - IEEE Richard W. Hamming Medal “For contributions to network multi-user information theory and for wide ranging impact on programmable circuit architectures.”

2013 - Member of the National Academy of Engineering For contributions in information theory, information technology, and image sensors.

2000 - IEEE Fellow For pioneering application of probability and statistics to develop new methods for the analysis and design of integrated circuits.

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Computer network
  • Artificial intelligence

His primary areas of investigation include Electronic engineering, CMOS, Image sensor, Pixel and Computer hardware. He has included themes like Transistor, Node and Light detector in his Electronic engineering study. The various areas that Abbas El Gamal examines in his CMOS study include Photodetector, Dark current, Embedded system and Static random-access memory.

The concepts of his Image sensor study are interwoven with issues in Electronic filter, Photodiode, Core, Distortion and Bitstream. His Pixel research is multidisciplinary, incorporating elements of Image resolution, Aperture, Image sensor format and Lens. His work in Real-time computing addresses issues such as Wireless, which are connected to fields such as Information theory.

His most cited work include:

  • Capacity theorems for the relay channel (4063 citations)
  • Network Information Theory (1802 citations)
  • Achievable rates for multiple descriptions (627 citations)

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

Abbas El Gamal spends much of his time researching Electronic engineering, Image sensor, Communication channel, Decoding methods and Topology. His Electronic engineering research incorporates themes from Electronic circuit, Electrical engineering and Node. His Image sensor study combines topics in areas such as Pixel, Dynamic range and CMOS.

His study in Communication channel is interdisciplinary in nature, drawing from both Computer network and Key. The study incorporates disciplines such as Interference, Noise, Theoretical computer science and Coding in addition to Decoding methods. His biological study spans a wide range of topics, including Network information theory, Fano's inequality and Linear network coding.

He most often published in these fields:

  • Electronic engineering (18.04%)
  • Image sensor (14.51%)
  • Communication channel (14.12%)

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

  • Random variable (11.37%)
  • Discrete mathematics (11.37%)
  • Communication channel (14.12%)

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

Random variable, Discrete mathematics, Communication channel, Upper and lower bounds and Mutual information are his primary areas of study. His Random variable study integrates concerns from other disciplines, such as Encoder, Coding, Combinatorics and Source code. He focuses mostly in the field of Coding, narrowing it down to topics relating to Markov process and, in certain cases, Theoretical computer science, Hamming bound, Error exponent and Probability of error.

His Communication channel research is multidisciplinary, relying on both Noise, Decoding methods, Node, Secure communication and Topology. His Upper and lower bounds study combines topics in areas such as Relay channel, Load following power plant, Smart meter, Telecommunications network and Randomness. His studies deal with areas such as Speech recognition, Encoding and Superposition coding as well as Almost surely.

Between 2014 and 2021, his most popular works were:

  • Optimal Achievable Rates for Interference Networks With Random Codes (39 citations)
  • Shapley Value Estimation for Compensation of Participants in Demand Response Programs (32 citations)
  • Capacity Approximations for Gaussian Relay Networks (20 citations)

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

  • Algorithm
  • Artificial intelligence
  • Computer network

The scientist’s investigation covers issues in Decoding methods, Random variable, Communication channel, Discrete mathematics and Topology. Decoding methods connects with themes related to Theoretical computer science in his study. His Theoretical computer science study combines topics from a wide range of disciplines, such as Coding and Markov process.

His Random variable study frequently draws parallels with other fields, such as Combinatorics. His research in Communication channel focuses on subjects like Noise, which are connected to Interference, Code, Node, Linear network coding and Topology. Many of his research projects under Topology are closely connected to Electronic mail with Electronic mail, tying the diverse disciplines of science together.

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.

Best Publications

Capacity theorems for the relay channel

T. Cover;A.E. Gamal.
IEEE Transactions on Information Theory (1979)

5172 Citations

Network Information Theory

Abbas El Gamal;Young-Han Kim.
(2012)

2835 Citations

Achievable rates for multiple descriptions

A.E. Gamal;T. Cover.
IEEE Transactions on Information Theory (1982)

799 Citations

Miniaturized integration of a fluorescence microscope

Kunal K Ghosh;Laurie D Burns;Eric D Cocker;Axel Nimmerjahn.
Nature Methods (2011)

792 Citations

Long-term dynamics of CA1 hippocampal place codes

Yaniv Ziv;Laurie D Burns;Eric D Cocker;Elizabeth O Hamel.
Nature Neuroscience (2013)

702 Citations

Energy-efficient packet transmission over a wireless link

Elif Uysal-Biyikoglu;Balaji Prabhakar;Abbas El Gamal.
IEEE ACM Transactions on Networking (2002)

610 Citations

Analysis of temporal noise in CMOS photodiode active pixel sensor

Hui Tian;B. Fowler;A.E. Gamal.
IEEE Journal of Solid-state Circuits (2001)

532 Citations

A 640/spl times/512 CMOS image sensor with ultra wide dynamic range floating-point pixel-level ADC

D.X.D. Yang;A.E. Gamal;B. Fowler;H. Tian.
international solid-state circuits conference (1999)

483 Citations

Multiple access channels with arbitrarily correlated sources

T. Cover;A.E. Gamal;M. Salehi.
IEEE Transactions on Information Theory (1980)

469 Citations

On the capacity of computer memory with defects

C. Heegard;A.E. Gamal.
IEEE Transactions on Information Theory (1983)

437 Citations

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