H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 70 Citations 21,315 379 World Ranking 804 National Ranking 480

Research.com Recognitions

Awards & Achievements

2014 - Fellow, National Academy of Inventors

2013 - Member of the National Academy of Engineering For contributions to the theory and practice of statistical signal processing.

2005 - Fellow of the American Association for the Advancement of Science (AAAS)

1994 - IEEE Fellow For contributions to nonlinear filtering and model-based signal processing.


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

Algorithm, Signal processing, Artificial intelligence, Distributed algorithm and Distributed computing are his primary areas of study. His Algorithm study combines topics from a wide range of disciplines, such as Stochastic approximation, Markov process, Kalman filter, Control theory and Stochastic process. His study focuses on the intersection of Signal processing and fields such as Digital signal processing with connections in the field of Wavelet.

His Artificial intelligence research incorporates elements of Clutter, Computer vision and Pattern recognition. His studies in Distributed algorithm integrate themes in fields like Gossip protocol, Wireless sensor network, Network topology, Mathematical optimization and Rate of convergence. His work deals with themes such as Quality of service and Energy, which intersect with Distributed computing.

His most cited work include:

  • Discrete Signal Processing on Graphs (940 citations)
  • SPIRAL: Code Generation for DSP Transforms (708 citations)
  • Gossip Algorithms for Distributed Signal Processing (657 citations)

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

His primary scientific interests are in Algorithm, Artificial intelligence, Mathematical optimization, Computer vision and Signal processing. Jose M. F. Moura works in the field of Algorithm, focusing on Estimation theory in particular. The concepts of his Artificial intelligence study are interwoven with issues in Machine learning and Pattern recognition.

His studies deal with areas such as Distributed algorithm, Convergence, Rate of convergence and Applied mathematics as well as Mathematical optimization. Computer vision is frequently linked to Clutter in his study. His Signal processing study is concerned with the larger field of Signal.

He most often published in these fields:

  • Algorithm (23.70%)
  • Artificial intelligence (21.93%)
  • Mathematical optimization (12.59%)

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

  • Artificial intelligence (21.93%)
  • Graph (4.74%)
  • Algorithm (23.70%)

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

His primary areas of investigation include Artificial intelligence, Graph, Algorithm, Deep learning and Mathematical optimization. The various areas that Jose M. F. Moura examines in his Artificial intelligence study include Natural language processing, Machine learning and Pattern recognition. His Graph study also includes

  • Graph that intertwine with fields like Graph signal processing, Theoretical computer science and Topology,
  • Random matrix that connect with fields like Laplacian matrix.

His Algorithm research focuses on Estimation theory in particular. His Mathematical optimization research incorporates themes from Function, Convergence and Maxima and minima. He works mostly in the field of Maxima and minima, limiting it down to topics relating to Gaussian noise and, in certain cases, Distributed algorithm, as a part of the same area of interest.

Between 2015 and 2021, his most popular works were:

  • Graph Signal Processing: Overview, Challenges, and Applications (559 citations)
  • Visual Dialog (452 citations)
  • Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning (263 citations)

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

  • Artificial intelligence
  • Statistics
  • Mathematical analysis

His scientific interests lie mostly in Artificial intelligence, Artificial neural network, Sequence, Natural language processing and Discriminative model. His research in Artificial intelligence intersects with topics in Machine learning, Computer vision and Pattern recognition. The study incorporates disciplines such as Cyber-physical system, State, Natural language and Human–computer interaction in addition to Sequence.

In the field of Natural language processing, his study on Semantic similarity overlaps with subjects such as Context. His study looks at the relationship between Distributed computing and topics such as Linear system, which overlap with Wireless sensor network. His Wireless sensor network study which covers Information retrieval that intersects with Signal processing and Graph.

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.

Top Publications

Discrete Signal Processing on Graphs

A. Sandryhaila;J. M. F. Moura.
IEEE Transactions on Signal Processing (2013)

1468 Citations

SPIRAL: Code Generation for DSP Transforms

M. Puschel;J.M.F. Moura;J.R. Johnson;D. Padua.
Proceedings of the IEEE (2005)

999 Citations

Gossip Algorithms for Distributed Signal Processing

Alexandros G Dimakis;Soummya Kar;José M F Moura;Michael G Rabbat.
Proceedings of the IEEE (2010)

751 Citations

Distributed Consensus Algorithms in Sensor Networks With Imperfect Communication: Link Failures and Channel Noise

S. Kar;J.M.F. Moura.
IEEE Transactions on Signal Processing (2009)

715 Citations

Graph Signal Processing: Overview, Challenges, and Applications

Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura.
Proceedings of the IEEE (2018)

612 Citations

Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure

Aliaksei Sandryhaila;Jose M.F. Moura.
IEEE Signal Processing Magazine (2014)

603 Citations

Big Data Analysis with Signal Processing on Graphs

Aliaksei Sandryhaila;José M. F. Moura.
IEEE Signal Processing Magazine (2014)

601 Citations

Discrete Signal Processing on Graphs: Frequency Analysis

Aliaksei Sandryhaila;Jose M. F. Moura.
IEEE Transactions on Signal Processing (2014)

582 Citations

Visual Dialog

Abhishek Das;Satwik Kottur;Khushi Gupta;Avi Singh.
computer vision and pattern recognition (2017)

529 Citations

Distributing the Kalman Filter for Large-Scale Systems

U.A. Khan;J.M.F. Moura.
IEEE Transactions on Signal Processing (2008)

482 Citations

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

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