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 55 Citations 10,233 267 World Ranking 2117 National Ranking 1154
Electronics and Electrical Engineering D-index 53 Citations 16,898 233 World Ranking 929 National Ranking 437

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Algorithm

His primary areas of study are MIMO, Electronic engineering, Radar, Algorithm and Communication channel. His MIMO research is multidisciplinary, incorporating perspectives in Antenna array, Antenna and Control theory. His Electronic engineering study combines topics from a wide range of disciplines, such as Transmitter, Constant false alarm rate, Sensor array and Continuous-wave radar.

His Continuous-wave radar research includes themes of Bistatic radar and Pulse-Doppler radar. He is interested in Space-time adaptive processing, which is a field of Radar. His work in Algorithm tackles topics such as Theoretical computer science which are related to areas like Sensor fusion, Signal design, Neyman pearson and Fisher information.

His most cited work include:

  • MIMO Radar with Widely Separated Antennas (1489 citations)
  • Spatial Diversity in Radars—Models and Detection Performance (1139 citations)
  • MIMO radar: an idea whose time has come (1112 citations)

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

Rick S. Blum mostly deals with Algorithm, Electronic engineering, MIMO, Radar and Artificial intelligence. His study in Algorithm is interdisciplinary in nature, drawing from both Detection theory and Statistics, Estimator. In his work, Computer network and Decoding methods is strongly intertwined with Communication channel, which is a subfield of Electronic engineering.

His MIMO research integrates issues from Transmitter, Control theory and Antenna. As part of one scientific family, Rick S. Blum deals mainly with the area of Radar, narrowing it down to issues related to the Waveform, and often Mutual information. His Bistatic radar study deals with Radar engineering details intersecting with Pulse-Doppler radar.

He most often published in these fields:

  • Algorithm (37.92%)
  • Electronic engineering (20.32%)
  • MIMO (20.09%)

What were the highlights of his more recent work (between 2015-2021)?

  • Algorithm (37.92%)
  • Radar (19.41%)
  • Estimator (6.32%)

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

His scientific interests lie mostly in Algorithm, Radar, Estimator, Estimation theory and MIMO. Rick S. Blum combines subjects such as Wireless sensor network, Upper and lower bounds, Test statistic and Synchronization with his study of Algorithm. His Radar study incorporates themes from Mimo radar, Signal, Antenna and Electronic engineering.

The various areas that Rick S. Blum examines in his Electronic engineering study include Battery, Orthogonal frequency-division multiplexing, Greedy algorithm and Communications system. His biological study spans a wide range of topics, including Control theory and Robustness. His MIMO study also includes fields such as

  • Clutter which connect with Sparse array,
  • Transmitter which is related to area like Physical layer.

Between 2015 and 2021, his most popular works were:

  • Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review (139 citations)
  • A Survey of Caching Techniques in Cellular Networks: Research Issues and Challenges in Content Placement and Delivery Strategies (111 citations)
  • Low-Rank Tensor Decomposition-Aided Channel Estimation for Millimeter Wave MIMO-OFDM Systems (98 citations)

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

  • Statistics
  • Algorithm
  • Artificial intelligence

Rick S. Blum mainly focuses on Algorithm, Wireless sensor network, Radar, Statistical hypothesis testing and Real-time computing. His Algorithm research is multidisciplinary, incorporating perspectives in Upper and lower bounds, Estimator and Signal, Signal processing. His Wireless sensor network research includes elements of Detection theory, Encryption, Spoofing attack and Statistical signal processing.

Rick S. Blum has included themes like Covariance, MIMO and Antenna in his Radar study. Rick S. Blum is studying Mimo radar, which is a component of MIMO. His Real-time computing research includes themes of Energy, Detector and Transmission.

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

MIMO Radar with Widely Separated Antennas

A.M. Haimovich;R.S. Blum;L.J. Cimini.
IEEE Signal Processing Magazine (2008)

2018 Citations

MIMO radar: an idea whose time has come

E. Fishler;A. Haimovich;R. Blum;D. Chizhik.
ieee radar conference (2004)

1909 Citations

Spatial Diversity in Radars—Models and Detection Performance

E. Fishler;A. Haimovich;R.S. Blum;L.J. Cimini.
IEEE Transactions on Signal Processing (2006)

1683 Citations

A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application

Zhong Zhang;R.S. Blum.
Proceedings of the IEEE (1999)

1092 Citations

Distributed detection with multiple sensors II. Advanced topics

R.S. Blum;S.A. Kassam;S.A. Kassam;H.V. Poor.
Proceedings of the IEEE (1997)

747 Citations

MIMO radar waveform design based on mutual information and minimum mean-square error estimation

Yang Yang;R.S. Blum.
IEEE Transactions on Aerospace and Electronic Systems (2007)

541 Citations

MIMO capacity with interference

R.S. Blum.
IEEE Journal on Selected Areas in Communications (2003)

525 Citations

Target Localization Accuracy Gain in MIMO Radar-Based Systems

Hana Godrich;Alexander M Haimovich;Rick S Blum.
IEEE Transactions on Information Theory (2010)

435 Citations

Multi-sensor image fusion and its applications

Rick S. Blum;Zheng Liu.
(2005)

422 Citations

Performance of MIMO radar systems: advantages of angular diversity

E. Fishler;A. Haimovich;R. Blum;R. Cimini.
asilomar conference on signals, systems and computers (2004)

417 Citations

Best Scientists Citing Rick S. Blum

Pramod K. Varshney

Pramod K. Varshney

Syracuse University

Publications: 76

Robert W. Heath

Robert W. Heath

North Carolina State University

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Hongbin Li

Hongbin Li

Stevens Institute of Technology

Publications: 63

Braham Himed

Braham Himed

United States Air Force Research Laboratory

Publications: 60

Athina P. Petropulu

Athina P. Petropulu

Rutgers, The State University of New Jersey

Publications: 48

Moe Z. Win

Moe Z. Win

MIT

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Jian Li

Jian Li

University of Florida

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Visa Koivunen

Visa Koivunen

Aalto University

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Arye Nehorai

Arye Nehorai

Washington University in St. Louis

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H. Vincent Poor

H. Vincent Poor

Princeton University

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David J. Love

David J. Love

Purdue University West Lafayette

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Peter Willett

Peter Willett

University of Connecticut

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Guisheng Liao

Guisheng Liao

Xidian University

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Sergiy A. Vorobyov

Sergiy A. Vorobyov

Aalto University

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Andreas F. Molisch

Andreas F. Molisch

University of Southern California

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Neelesh B. Mehta

Neelesh B. Mehta

Indian Institute of Science Bangalore

Publications: 34

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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