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 47 Citations 8,485 367 World Ranking 3228 National Ranking 22
Electronics and Electrical Engineering D-index 51 Citations 10,932 470 World Ranking 1109 National Ranking 1

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Algorithm
  • Artificial intelligence

Electronic engineering, MIMO, Algorithm, Communication channel and Telecommunications link are his primary areas of study. His Electronic engineering research includes themes of Signal-to-noise ratio, Bit error rate, Orthogonal frequency-division multiplexing, Field-programmable gate array and Electrical engineering. Markus Rupp combines subjects such as Wireless and UMTS frequency bands with his study of MIMO.

His biological study spans a wide range of topics, including Control theory, Robustness and Signal processing. His studies in Communication channel integrate themes in fields like Transmission, Throughput, Modulation and Estimator. The study incorporates disciplines such as Cellular network, Physical layer and Base station in addition to Telecommunications link.

His most cited work include:

  • System Level Simulation of LTE Networks (478 citations)
  • Simulating the Long Term Evolution physical layer (421 citations)
  • Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless (288 citations)

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

Markus Rupp mostly deals with Electronic engineering, Communication channel, Algorithm, MIMO and Computer network. His work carried out in the field of Electronic engineering brings together such families of science as Transmission, Throughput, Orthogonal frequency-division multiplexing, Telecommunications link and Antenna. His work in Telecommunications link tackles topics such as Real-time computing which are related to areas like Cellular network.

His Communication channel research is multidisciplinary, incorporating perspectives in Wireless, Signal-to-noise ratio, Filter bank and Interference. His Algorithm research includes elements of Minimum mean square error, Mathematical optimization, Control theory and Signal processing. His work on MIMO is being expanded to include thematically relevant topics such as Transmitter.

He most often published in these fields:

  • Electronic engineering (26.67%)
  • Communication channel (22.81%)
  • Algorithm (22.22%)

What were the highlights of his more recent work (between 2016-2021)?

  • Communication channel (22.81%)
  • Algorithm (22.22%)
  • Wireless (13.19%)

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

His primary areas of study are Communication channel, Algorithm, Wireless, MIMO and Orthogonal frequency-division multiplexing. His study in Communication channel is interdisciplinary in nature, drawing from both Acoustics, Spatial correlation, Interference and Signal-to-noise ratio. He interconnects Rayleigh fading, Real-time computing, Spectral efficiency, Base station and Telecommunications link in the investigation of issues within Wireless.

His MIMO research focuses on Transmitter and how it relates to Singular value. His Orthogonal frequency-division multiplexing research is multidisciplinary, incorporating elements of Interference, Optimization problem, Electronic engineering, Filter bank and Preamble. Markus Rupp studied Electronic engineering and Transmission that intersect with Reliability.

Between 2016 and 2021, his most popular works were:

  • Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications (132 citations)
  • Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs (60 citations)
  • OFDM and FBMC-OQAM in Doubly-Selective Channels: Calculating the Bit Error Probability (45 citations)

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

  • Computer network
  • Statistics
  • Algorithm

His primary areas of investigation include Communication channel, Algorithm, Orthogonal frequency-division multiplexing, Interference and Electronic engineering. His Communication channel study incorporates themes from Interference, Acoustics and Modulation. His Algorithm study integrates concerns from other disciplines, such as Spatial correlation, Equalization, Beamforming, Minimum mean square error and MIMO.

When carried out as part of a general MIMO research project, his work on Precoding is frequently linked to work in Coupling, therefore connecting diverse disciplines of study. His research in Orthogonal frequency-division multiplexing intersects with topics in Latency, Filter, Network packet, Real-time computing and Filter bank. His Electronic engineering study focuses on Bandwidth in particular.

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

System Level Simulation of LTE Networks

Josep Colom Ikuno;Martin Wrulich;Markus Rupp.
vehicular technology conference (2010)

676 Citations

Simulating the Long Term Evolution physical layer

Christian Mehlfuhrer;Martin Wrulich;Josep Colom Ikuno;Dagmar Bosanska.
european signal processing conference (2009)

657 Citations

Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless

L. Hanzo;H. Haas;S. Imre;D. O'Brien.
arXiv: Quantum Physics (2012)

412 Citations

The Vienna LTE simulators - Enabling reproducibility in wireless communications research

Christian Mehlführer;Josep Colom Colom Ikuno;Michal Šimko;Stefan Schwarz.
EURASIP Journal on Advances in Signal Processing (2011)

326 Citations

Future railway services-oriented mobile communications network

Bo Ai;Ke Guan;Markus Rupp;Thomas Kurner.
IEEE Communications Magazine (2015)

211 Citations

Likelihood Consensus and Its Application to Distributed Particle Filtering

Ondrej Hlinka;Ondrej Slučiak;Franz Hlawatsch;Petar M. Djurić.
IEEE Transactions on Signal Processing (2012)

184 Citations

RFID Reader Receivers for Physical Layer Collision Recovery

C Angerer;R Langwieser;M Rupp.
IEEE Transactions on Communications (2010)

182 Citations

The Vienna LTE-Advanced Simulators

Markus Rupp;Stefan Schwarz;Martin Taranetz.
(2016)

182 Citations

A family of adaptive filter algorithms with decorrelating properties

M. Rupp.
IEEE Transactions on Signal Processing (1998)

178 Citations

Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications

Ronald Nissel;Stefan Schwarz;Markus Rupp.
IEEE Journal on Selected Areas in Communications (2017)

174 Citations

Best Scientists Citing Markus Rupp

Lajos Hanzo

Lajos Hanzo

University of Southampton

Publications: 62

Bo Ai

Bo Ai

Beijing Jiaotong University

Publications: 61

Zhangdui Zhong

Zhangdui Zhong

Beijing Jiaotong University

Publications: 44

Ali H. Sayed

Ali H. Sayed

École Polytechnique Fédérale de Lausanne

Publications: 34

Christoph F. Mecklenbrauker

Christoph F. Mecklenbrauker

TU Wien

Publications: 25

John Thompson

John Thompson

University of Edinburgh

Publications: 23

Harald Haas

Harald Haas

University of Edinburgh

Publications: 21

Antonio Iera

Antonio Iera

University of Calabria

Publications: 18

Franz Hlawatsch

Franz Hlawatsch

TU Wien

Publications: 17

Zhiguo Ding

Zhiguo Ding

University of Manchester

Publications: 17

Antonella Molinaro

Antonella Molinaro

University of Reggio Calabria

Publications: 15

Mark Coates

Mark Coates

McGill University

Publications: 15

Danilo P. Mandic

Danilo P. Mandic

Imperial College London

Publications: 15

Scott C. Douglas

Scott C. Douglas

Southern Methodist University

Publications: 15

Tareq Y. Al-Naffouri

Tareq Y. Al-Naffouri

King Abdullah University of Science and Technology

Publications: 14

Thomas Kurner

Thomas Kurner

Technische Universität Braunschweig

Publications: 13

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.

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