D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 41 Citations 7,091 241 World Ranking 4226 National Ranking 254
Electronics and Electrical Engineering D-index 43 Citations 7,975 234 World Ranking 1601 National Ranking 92

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Telecommunications
  • Statistics

His primary areas of study are Computer network, Communication channel, Decoding methods, Topology and Fading. Computer network is closely attributed to Relay in his work. His Communication channel research is multidisciplinary, relying on both Relay channel and Transmitter.

His Transmitter study combines topics in areas such as Transmission, Real-time computing and Communications system. His work deals with themes such as MIMO, Multiplexing, Secrecy and Shared secret, which intersect with Topology. Much of his study explores Fading relationship to Mathematical optimization.

His most cited work include:

  • The Multiway Relay Channel (296 citations)
  • Designing intelligent energy harvesting communication systems (288 citations)
  • Learning-based optimization of cache content in a small cell base station (246 citations)

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

His primary areas of investigation include Communication channel, Computer network, Topology, Algorithm and Transmission. The study incorporates disciplines such as Transmitter, Decoding methods and Wireless in addition to Communication channel. His research in Transmitter intersects with topics in Real-time computing and Communications system.

His Computer network research incorporates themes from Relay channel, Relay and Wireless network. Deniz Gunduz usually deals with Topology and limits it to topics linked to MIMO and Multiplexing and Spectral efficiency. The various areas that Deniz Gunduz examines in his Fading study include Mathematical optimization and Channel state information.

He most often published in these fields:

  • Communication channel (39.19%)
  • Computer network (30.08%)
  • Topology (17.80%)

What were the highlights of his more recent work (between 2019-2021)?

  • Communication channel (39.19%)
  • Wireless (15.68%)
  • Computer network (30.08%)

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

His scientific interests lie mostly in Communication channel, Wireless, Computer network, Algorithm and Distributed computing. In his study, Electronic engineering is inextricably linked to Modulation, which falls within the broad field of Communication channel. Many of his research projects under Wireless are closely connected to Contextual image classification with Contextual image classification, tying the diverse disciplines of science together.

His biological study spans a wide range of topics, including Adversarial system and Federated learning. Deniz Gunduz has researched Distributed computing in several fields, including Energy consumption, Energy harvesting, Markov decision process and Reinforcement learning. His study explores the link between Fading and topics such as Analog transmission that cross with problems in Decoding methods and Broadband.

Between 2019 and 2021, his most popular works were:

  • Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air (141 citations)
  • Federated Learning Over Wireless Fading Channels (113 citations)
  • Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks (55 citations)

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

  • Computer network
  • Artificial intelligence
  • Statistics

Deniz Gunduz mainly focuses on Wireless, Communication channel, Computer network, Edge device and Fading. His work in the fields of Wireless, such as Wireless network and Channel state information, overlaps with other areas such as Perspective. In his study, which falls under the umbrella issue of Wireless network, Computer engineering, Throughput and Efficient energy use is strongly linked to Transmission.

His Communication channel study also includes fields such as

  • Bandwidth and related Channel code,
  • Modulation, which have a strong connection to Electronic engineering. His Computer network research is multidisciplinary, incorporating elements of Independent and identically distributed random variables and Federated learning. In his study, Decoding methods, Convergence, Transmitter power output, Broadband and Bottleneck is strongly linked to Analog transmission, which falls under the umbrella field of Fading.

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

The Multiway Relay Channel

D. Gunduz;A. Yener;A. Goldsmith;H. V. Poor.
IEEE Transactions on Information Theory (2013)

502 Citations

Designing intelligent energy harvesting communication systems

Deniz Gunduz;Kostas Stamatiou;Nicolo Michelusi;Michele Zorzi.
IEEE Communications Magazine (2014)

317 Citations

Opportunistic cooperation by dynamic resource allocation

D. Gunduz;E. Erkip.
IEEE Transactions on Wireless Communications (2007)

298 Citations

Learning-based optimization of cache content in a small cell base station

Pol Blasco;Deniz Gündüz.
international conference on communications (2014)

289 Citations

The multi-way relay channel

Deniz Gunduz;Aylin Yener;Andrea Goldsmith;H. Vincent Poor.
international symposium on information theory (2009)

256 Citations

A general framework for the optimization of energy harvesting communication systems with battery imperfections

B. Devillers;D. Gunduz.
Journal of Communications and Networks (2012)

250 Citations

A Learning Theoretic Approach to Energy Harvesting Communication System Optimization

Pol Blasco;Deniz Gunduz;Mischa Dohler.
IEEE Transactions on Wireless Communications (2013)

245 Citations

Wireless Content Caching for Small Cell and D2D Networks

Maria Gregori;Jesus Gomez-Vilardebo;Javier Matamoros;Deniz Gunduz.
IEEE Journal on Selected Areas in Communications (2016)

225 Citations

Two-hop communication with energy harvesting

Deniz Gunduz;Bertrand Devillers.
ieee international workshop on computational advances in multi sensor adaptive processing (2011)

174 Citations

Machine Learning at the Wireless Edge: Distributed Stochastic Gradient Descent Over-the-Air

Mohammad Mohammadi Amiri;Deniz Gunduz.
IEEE Transactions on Signal Processing (2020)

160 Citations

Best Scientists Citing Deniz Gunduz

Sennur Ulukus

Sennur Ulukus

University of Maryland, College Park

Publications: 80

Irwin Gerszberg

Irwin Gerszberg

AT&T (United States)

Publications: 70

Paul Shala Henry

Paul Shala Henry

AT&T (United States)

Publications: 70

Robert Bennett

Robert Bennett

AT&T (United States)

Publications: 68

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 66

Aylin Yener

Aylin Yener

The Ohio State University

Publications: 63

Farhad Barzegar

Farhad Barzegar

AT&T (United States)

Publications: 63

Osvaldo Simeone

Osvaldo Simeone

King's College London

Publications: 53

Mikael Skoglund

Mikael Skoglund

Royal Institute of Technology

Publications: 46

Elza Erkip

Elza Erkip

New York University

Publications: 45

Shlomo Shamai

Shlomo Shamai

Technion – Israel Institute of Technology

Publications: 35

Yonghui Li

Yonghui Li

University of Sydney

Publications: 27

Meixia Tao

Meixia Tao

Shanghai Jiao Tong University

Publications: 27

Giuseppe Caire

Giuseppe Caire

Technical University of Berlin

Publications: 26

Branka Vucetic

Branka Vucetic

University of Sydney

Publications: 25

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

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.