H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 36 Citations 6,423 188 World Ranking 3341 National Ranking 96

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to radar target detection and estimation in clutter

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Telecommunications
  • Algorithm

His primary scientific interests are in Electronic engineering, Algorithm, Clutter, Radar and Constant false alarm rate. His Electronic engineering study combines topics in areas such as Spread spectrum, Modulation, Noise, Interference and Communications system. He combines subjects such as Detection theory, Likelihood-ratio test, Detector and Control theory with his study of Algorithm.

The concepts of his Clutter study are interwoven with issues in Signal-to-noise ratio, MIMO and K-distribution. In his work, Doppler radar, Monte Carlo method, Simulation and Noise is strongly intertwined with Signal processing, which is a subfield of Radar. As part of one scientific family, Marco Lops deals mainly with the area of Constant false alarm rate, narrowing it down to issues related to the Covariance matrix, and often Fast Fourier transform and Circulant matrix.

His most cited work include:

  • Asymptotically optimum radar detection in compound-Gaussian clutter (363 citations)
  • The VIRGO Project: A wide band antenna for gravitational wave detection (302 citations)
  • Design Principles of MIMO Radar Detectors (230 citations)

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

Marco Lops spends much of his time researching Algorithm, Electronic engineering, Radar, Detector and Clutter. Marco Lops does research in Algorithm, focusing on Constant false alarm rate specifically. His study in Electronic engineering is interdisciplinary in nature, drawing from both Wireless, Iterative method, Minimum mean square error and Rayleigh fading.

Marco Lops interconnects Real-time computing, Bandwidth, Interference, Communications system and Signal in the investigation of issues within Radar. His Detector study integrates concerns from other disciplines, such as Transmitter, Radio receiver, Track-before-detect and Estimator. His work carried out in the field of Clutter brings together such families of science as Statistics, Probability density function, Weibull distribution and Adaptive filter.

He most often published in these fields:

  • Algorithm (50.00%)
  • Electronic engineering (26.86%)
  • Radar (23.97%)

What were the highlights of his more recent work (between 2017-2021)?

  • Radar (23.97%)
  • Algorithm (50.00%)
  • Communications system (8.26%)

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

Marco Lops focuses on Radar, Algorithm, Communications system, Interference and Electronic engineering. His specific area of interest is Radar, where Marco Lops studies Clutter. He is involved in the study of Algorithm that focuses on Gaussian noise in particular.

His biological study deals with issues like Time delay and integration, which deal with fields such as Constant false alarm rate. His research in Communications system intersects with topics in Secondary surveillance radar, Demodulation, Codebook, Communication channel and Degrees of freedom. His Electronic engineering study incorporates themes from Wireless, Waveform and Echo.

Between 2017 and 2021, his most popular works were:

  • Joint Design of Overlaid Communication Systems and Pulsed Radars (76 citations)
  • Radar and Communication Coexistence: An Overview: A Review of Recent Methods (72 citations)
  • Joint System Design for Coexistence of MIMO Radar and MIMO Communication (57 citations)

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

  • Statistics
  • Telecommunications
  • Radar

Marco Lops mostly deals with Radar, Interference, Communications system, Algorithm and Clutter. His biological study spans a wide range of topics, including MIMO, Beamforming and Bandwidth. His study looks at the relationship between Interference and topics such as Real-time computing, which overlap with Codebook, Secondary surveillance radar and Pulse compression.

His studies in Communications system integrate themes in fields like Electronic engineering, Communication channel and Degrees of freedom. The Algorithm study combines topics in areas such as Estimator, IEEE 802 and Demodulation. His work deals with themes such as Interference and Scattering, which intersect with Clutter.

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 VIRGO Project: A wide band antenna for gravitational wave detection

C. Bradaschia;R. Del Fabbro;A. Di Virgilio;A. Giazotto.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment (1990)

711 Citations

Asymptotically optimum radar detection in compound-Gaussian clutter

E. Conte;M. Lops;G. Ricci.
IEEE Transactions on Aerospace and Electronic Systems (1995)

509 Citations

The Virgo interferometer

B. Caron;A. Dominjon;C. Drezen;R. Flaminio.
Classical and Quantum Gravity (1997)

302 Citations

Design Principles of MIMO Radar Detectors

A. De Maio;M. Lops.
IEEE Transactions on Aerospace and Electronic Systems (2007)

286 Citations

Modelling and simulation of non-Rayleigh radar clutter

E. Conte;M. Longo;Marco Lops.
IEE Proceedings F Radar and Signal Processing (1991)

275 Citations

Track-before-detect procedures for early detection of moving target from airborne radars

S. Buzzi;M. Lops;L. Venturino.
IEEE Transactions on Aerospace and Electronic Systems (2005)

234 Citations

Track-before-detect procedures in a multi-target environment

S. Buzzi;M. Lops;L. Venturino;M. Ferri.
IEEE Transactions on Aerospace and Electronic Systems (2008)

170 Citations

Adaptive matched filter detection in spherically invariant noise

E. Conte;M. Lops;G. Ricci.
IEEE Signal Processing Letters (1996)

166 Citations

Multiuser detection for cooperative networks and performance analysis

L. Venturino;Xiaodong Wang;M. Lops.
international workshop on signal processing advances in wireless communications (2005)

162 Citations

A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems

Emanuele Grossi;Marco Lops;Luca Venturino.
IEEE Transactions on Signal Processing (2013)

161 Citations

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United States Air Force Research Laboratory

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Lehigh University

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University College London

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Weizmann Institute of Science

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North Carolina State University

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