H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 44 Citations 7,910 215 World Ranking 1545 National Ranking 79

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Telecommunications
  • Computer network

His main research concerns MIMO, Communication channel, Topology, Decoding methods and Transmitter. His work carried out in the field of MIMO brings together such families of science as Algorithm, Control theory and Fading. His biological study spans a wide range of topics, including Upper and lower bounds, Computer network and Antenna.

His research integrates issues of Information theory, Additive white Gaussian noise, Channel capacity and Communications system in his study of Topology. His biological study spans a wide range of topics, including Computational complexity theory and Discrete mathematics. His studies deal with areas such as Multiplexing, Degrees of freedom, Base station and Codebook as well as Transmitter.

His most cited work include:

  • Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis (1039 citations)
  • Capacity Bounds for the Gaussian Interference Channel (465 citations)
  • Real Interference Alignment: Exploiting the Potential of Single Antenna Systems (308 citations)

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

Amir K. Khandani spends much of his time researching Communication channel, Algorithm, Topology, Decoding methods and Transmitter. His Communication channel research includes elements of Computer network and Interference. His Algorithm research integrates issues from Electronic engineering, Theoretical computer science and Coding.

Amir K. Khandani interconnects Relay, Multiplexing, Rayleigh fading and Transmission in the investigation of issues within Topology. His studies in Decoding methods integrate themes in fields like Additive white Gaussian noise and Combinatorics. His research in MIMO intersects with topics in Antenna and Control theory.

He most often published in these fields:

  • Communication channel (36.57%)
  • Algorithm (32.48%)
  • Topology (30.43%)

What were the highlights of his more recent work (between 2011-2021)?

  • Communication channel (36.57%)
  • Topology (30.43%)
  • Transmitter (17.65%)

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

His main research concerns Communication channel, Topology, Transmitter, Interference and Decoding methods. A large part of his Communication channel studies is devoted to MIMO. Amir K. Khandani has researched MIMO in several fields, including Antenna and Modulation.

His Topology study combines topics in areas such as Mathematical optimization, Relay, Throughput and Fading. His work carried out in the field of Transmitter brings together such families of science as Multiplexing, Channel state information, Communications system and Precoding. Decoding methods is a subfield of Algorithm that he explores.

Between 2011 and 2021, his most popular works were:

  • Real Interference Alignment: Exploiting the Potential of Single Antenna Systems (308 citations)
  • Wireless Transmission with Channel State Perturbation (155 citations)
  • Full duplex wireless transmission with self-interference cancellation (134 citations)

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

  • Statistics
  • Algorithm
  • Telecommunications

Communication channel, Electronic engineering, Wireless, Topology and Transmission are his primary areas of study. Fading and MIMO are the subjects of his Communication channel studies. He combines subjects such as Transmission delay and Decoding methods with his study of Fading.

In his research on the topic of MIMO, Energy, Redundancy and Algorithm is strongly related with Modulation. His Electronic engineering research is multidisciplinary, incorporating elements of Acoustics, Data transmission, Wireless transmission, Transceiver and Dipole antenna. The study incorporates disciplines such as Scheduling, Channel state information, Mathematical optimization and Degrees of freedom in addition to Topology.

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

Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis

M.A. Maddah-Ali;A.S. Motahari;A.K. Khandani.
IEEE Transactions on Information Theory (2008)

1163 Citations

Capacity Bounds for the Gaussian Interference Channel

A.S. Motahari;A.K. Khandani.
IEEE Transactions on Information Theory (2009)

465 Citations

Solving Euclidean Distance Matrix Completion Problems Via Semidefinite Programming

Abdo Y. Alfakih;Amir Khandani;Henry Wolkowicz.
Computational Optimization and Applications (1999)

316 Citations

Real Interference Alignment: Exploiting the Potential of Single Antenna Systems

Abolfazl Seyed Motahari;Shahab Oveis Gharan;Mohammad Ali Maddah-Ali;Amir Keyvan Khandani.
IEEE Transactions on Information Theory (2014)

308 Citations

Signaling over MIMO Multi-Base Systems: Combination of Multi-Access and Broadcast Schemes

M.A. Maddah-Ali;A.S. Motahari;A.K. Khandani.
international symposium on information theory (2006)

268 Citations

LLL Reduction Achieves the Receive Diversity in MIMO Decoding

M. Taherzadeh;A. Mobasher;A.K. Khandani.
IEEE Transactions on Information Theory (2007)

241 Citations

Wireless Transmission with Channel State Perturbation

Amir Keyvan Khandani.
(2013)

219 Citations

On the User Selection for MIMO Broadcast Channels

A. Bayesteh;A.K. Khandani.
IEEE Transactions on Information Theory (2008)

182 Citations

Real Interference Alignment with Real Numbers

Abolfazl S. Motahari;Shahab Oveis Gharan;Amir K. Khandani.
arXiv: Information Theory (2009)

179 Citations

Full duplex wireless transmission with self-interference cancellation

Amir Keyvan Khandani.
(2013)

168 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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