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 34 Citations 13,797 133 World Ranking 6121 National Ranking 2944
Electronics and Electrical Engineering D-index 31 Citations 9,602 99 World Ranking 3199 National Ranking 1244

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Algorithm

Randolph L. Moses spends much of his time researching Algorithm, Wireless sensor network, Synthetic aperture radar, Estimation theory and Radar imaging. His Wireless sensor network research incorporates themes from Wireless ad hoc network, Distributed computing and Graphical model. His work is dedicated to discovering how Synthetic aperture radar, Radar are connected with Scattering and other disciplines.

His biological study spans a wide range of topics, including Covariance matrix and Signal processing. His Radar imaging research is multidisciplinary, relying on both Polarimetry, Artificial intelligence and Computer vision. His work on Maximum likelihood and Nonparametric statistics as part of general Statistics research is frequently linked to Index, Bibliography and Spectral analysis, bridging the gap between disciplines.

His most cited work include:

  • Locating the nodes: cooperative localization in wireless sensor networks (2551 citations)
  • Introduction to spectral analysis (1844 citations)
  • Spectral analysis of signals (1692 citations)

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

Randolph L. Moses mostly deals with Algorithm, Artificial intelligence, Synthetic aperture radar, Radar and Scattering. His Algorithm research is multidisciplinary, incorporating elements of Wireless sensor network, Estimator, Mathematical optimization and Signal processing. Randolph L. Moses combines subjects such as Node, Graphical model and Distributed computing with his study of Wireless sensor network.

His studies deal with areas such as Metric, Computer vision and Pattern recognition as well as Artificial intelligence. His studies in Synthetic aperture radar integrate themes in fields like Inverse synthetic aperture radar, Radar imaging, Bistatic radar, Aperture and Iterative reconstruction. In Radar, Randolph L. Moses works on issues like Remote sensing, which are connected to Lightning strike.

He most often published in these fields:

  • Algorithm (34.09%)
  • Artificial intelligence (29.55%)
  • Synthetic aperture radar (26.82%)

What were the highlights of his more recent work (between 2009-2017)?

  • Artificial intelligence (29.55%)
  • Synthetic aperture radar (26.82%)
  • Computer vision (18.18%)

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

His scientific interests lie mostly in Artificial intelligence, Synthetic aperture radar, Computer vision, Algorithm and Radar. His work deals with themes such as Scattering and Radar imaging, which intersect with Synthetic aperture radar. His work carried out in the field of Algorithm brings together such families of science as Change detection, Machine learning and Parametric statistics.

His research integrates issues of Waveform, Phase center, Optics and Estimator in his study of Radar. The various areas that Randolph L. Moses examines in his Mathematical optimization study include Wireless sensor network and Mixing. His Wireless sensor network research includes elements of Statistical model and Flow network.

Between 2009 and 2017, his most popular works were:

  • Canonical Scattering Feature Models for 3D and Bistatic SAR (105 citations)
  • Sparse Signal Methods for 3-D Radar Imaging (70 citations)
  • On the Relation Between Sparse Reconstruction and Parameter Estimation With Model Order Selection (66 citations)

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

  • Statistics
  • Artificial intelligence
  • Algorithm

Randolph L. Moses mainly investigates Synthetic aperture radar, Radar imaging, Artificial intelligence, Computer vision and Iterative reconstruction. The Synthetic aperture radar study combines topics in areas such as Radar, Scattering and Bistatic radar. As a part of the same scientific study, Randolph L. Moses usually deals with the Bistatic radar, concentrating on Feature extraction and frequently concerns with Estimation theory.

His research in Radar imaging intersects with topics in Optimization problem and Interferometric synthetic aperture radar. Randolph L. Moses has researched Inverse synthetic aperture radar in several fields, including Algorithm and Aperture. Restricted isometry property is the focus of his Algorithm research.

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

Locating the nodes: cooperative localization in wireless sensor networks

N. Patwari;J.N. Ash;S. Kyperountas;A.O. Hero.
IEEE Signal Processing Magazine (2005)

3594 Citations

Introduction to spectral analysis

P. G. Stoica;Randolph L. Moses.
(1997)

3205 Citations

Spectral analysis of signals

P. G. Stoica;Randolph L. Moses.
(2005)

2808 Citations

Nonparametric belief propagation for self-localization of sensor networks

A.T. Ihler;J.W. Fisher;R.L. Moses;A.S. Willsky.
IEEE Journal on Selected Areas in Communications (2005)

701 Citations

Attributed scattering centers for SAR ATR

L.C. Potter;R.L. Moses.
IEEE Transactions on Image Processing (1997)

469 Citations

A Self-Localization Method for Wireless Sensor Networks

Randolph L. Moses;Dushyanth Krishnamurthy;Robert M. Patterson.
EURASIP Journal on Advances in Signal Processing (2003)

420 Citations

Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements

P. Stoica;R.L. Moses;B. Friedlander;T. Soderstrom.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1989)

415 Citations

Locating the Nodes

Neal Patwari;Joshua N. Ash;Spyros Kyperountas;Alfred O. Hero.
(2005)

332 Citations

Analysis/synthesis-based microphone array speech enhancer with variable signal distortion

Raymond E. Slyh;Randolph L. Moses;Timothy R. Anderson.
Journal of the Acoustical Society of America (1995)

251 Citations

High resolution radar target modeling using a modified Prony estimator

R. Carriere;R.L. Moses.
IEEE Transactions on Antennas and Propagation (1992)

248 Citations

Best Scientists Citing Randolph L. Moses

Petre Stoica

Petre Stoica

Uppsala University

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Jian Li

Jian Li

University of Florida

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Moe Z. Win

Moe Z. Win

MIT

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Hing Cheung So

Hing Cheung So

City University of Hong Kong

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Henk Wymeersch

Henk Wymeersch

Chalmers University of Technology

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R. Michael Buehrer

R. Michael Buehrer

Virginia Tech

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Søren Holdt Jensen

Søren Holdt Jensen

University of Extremadura

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Hongbin Li

Hongbin Li

Stevens Institute of Technology

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Tryphon T. Georgiou

Tryphon T. Georgiou

University of California, Irvine

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Mujdat Cetin

Mujdat Cetin

University of Rochester

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Jesper Jensen

Jesper Jensen

Aalborg University

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Geert Leus

Geert Leus

Delft University of Technology

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Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

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Georgios B. Giannakis

Georgios B. Giannakis

University of Minnesota

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Franz Hlawatsch

Franz Hlawatsch

TU Wien

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Martin Vetterli

Martin Vetterli

École Polytechnique Fédérale de Lausanne

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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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