D-Index & Metrics Best Publications
Antonio Fernández-Caballero

Antonio Fernández-Caballero

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 33 Citations 4,549 220 World Ranking 6850 National Ranking 92

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His primary areas of study are Artificial intelligence, Computer vision, Segmentation, Computer security and Motion. His Artificial intelligence research incorporates themes from Computation, Cognition and Acute stress. Much of his study explores Computer vision relationship to International Affective Picture System.

The study incorporates disciplines such as Image processing, Image, Thresholding, Motion analysis and Fuzzy logic in addition to Segmentation. His Computer security study incorporates themes from Scheduling, Interface and Robustness. As part of the same scientific family, Antonio Fernández-Caballero usually focuses on Motion, concentrating on Sequence and intersecting with Set and Visual surveillance.

His most cited work include:

  • A survey of video datasets for human action and activity recognition (296 citations)
  • Finding out general tendencies in speckle noise reduction in ultrasound images (94 citations)
  • Development of intelligent multisensor surveillance systems with agents (93 citations)

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

Antonio Fernández-Caballero focuses on Artificial intelligence, Computer vision, Human–computer interaction, Segmentation and Multi-agent system. His research investigates the connection between Artificial intelligence and topics such as Computation that intersect with problems in Lateral inhibition. His research related to Image, Pixel, Object, Image processing and Feature extraction might be considered part of Computer vision.

Antonio Fernández-Caballero combines topics linked to User interface with his work on Human–computer interaction. His Multi-agent system research includes themes of Intelligent agent and Software engineering. His research brings together the fields of Artificial neural network and Motion detection.

He most often published in these fields:

  • Artificial intelligence (41.83%)
  • Computer vision (23.53%)
  • Human–computer interaction (15.03%)

What were the highlights of his more recent work (between 2018-2021)?

  • Human–computer interaction (15.03%)
  • Artificial intelligence (41.83%)
  • Virtual reality (4.25%)

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

Antonio Fernández-Caballero spends much of his time researching Human–computer interaction, Artificial intelligence, Virtual reality, Social cognition and Electroencephalography. Antonio Fernández-Caballero interconnects Industry 4.0 and Gesture recognition in the investigation of issues within Human–computer interaction. His research integrates issues of Computer vision and Pattern recognition in his study of Artificial intelligence.

His work deals with themes such as Generator and Complex system, which intersect with Computer vision. His Social cognition research also works with subjects such as

  • Schizophrenia most often made with reference to Clinical psychology,
  • Facial expression, Cognitive psychology, Set, Expression and Happiness most often made with reference to Facial recognition system,
  • Quality of life which connect with Perception,
  • Affective computing, Cognitive science, Physiological computing and Positive and Negative Syndrome Scale most often made with reference to Social relation,
  • Quality of life that intertwine with fields like Social cognitive theory, Mental health, Applied psychology and Affect. Antonio Fernández-Caballero has included themes like Wireless and Nonlinear system, Nonlinear methods in his Electroencephalography study.

Between 2018 and 2021, his most popular works were:

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications (23 citations)
  • A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition (21 citations)
  • Social cognition remediation interventions: A systematic mapping review. (16 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Antonio Fernández-Caballero mostly deals with Artificial intelligence, Electroencephalography, Clinical psychology, Pattern recognition and Social cognition. Antonio Fernández-Caballero has researched Artificial intelligence in several fields, including Data science, Computer vision and Big data. His studies deal with areas such as Stimulus, Emotion recognition, Speech recognition and Nonlinear system, Nonlinear methods as well as Electroencephalography.

His work on Mood induction as part of his general Clinical psychology study is frequently connected to PsycINFO, Psychological intervention and Wellness promotion, thereby bridging the divide between different branches of science. His Pattern recognition research is multidisciplinary, relying on both Distress and Identification. The concepts of his Social cognition study are interwoven with issues in Domain, Affect and Quality of life.

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

A survey of video datasets for human action and activity recognition

Jose M. Chaquet;Enrique J. Carmona;Antonio Fernández-Caballero.
Computer Vision and Image Understanding (2013)

426 Citations

Finding out general tendencies in speckle noise reduction in ultrasound images

Juan L. Mateo;Antonio Fernández-Caballero.
Expert Systems With Applications (2009)

156 Citations

Development of intelligent multisensor surveillance systems with agents

Juan Pavón;Jorge Gómez-Sanz;Antonio Fernández-Caballero;Julián J. Valencia-Jiménez.
Robotics and Autonomous Systems (2007)

143 Citations

Optical flow or image subtraction in human detection from infrared camera on mobile robot

Antonio Fernández-Caballero;José Carlos Castillo;Javier Martínez-Cantos;Rafael Martínez-Tomás.
Robotics and Autonomous Systems (2010)

141 Citations

Towards personalized recommendation by two-step modified Apriori data mining algorithm

Enrique Lazcorreta;Federico Botella;Antonio Fernández-Caballero.
Expert Systems With Applications (2008)

126 Citations

Multimodal behavioral analysis for non-invasive stress detection

Davide Carneiro;José Carlos Castillo;Paulo Novais;Antonio FernáNdez-Caballero.
Expert Systems With Applications (2012)

113 Citations

Sensor-driven agenda for intelligent home care of the elderly

íNgelo Costa;José Carlos Castillo;Paulo Novais;Antonio FernáNdez-Caballero.
Expert Systems With Applications (2012)

112 Citations

Electrodermal Activity Sensor for Classification of Calm/Distress Condition

Roberto Zangróniz;Arturo Martínez-Rodrigo;José Manuel Pastor;María T López.
Sensors (2017)

106 Citations

Model-driven engineering techniques for the development of multi-agent systems

José M. Gascueña;Elena Navarro;Antonio Fernández-Caballero.
Engineering Applications of Artificial Intelligence (2012)

104 Citations

Visual surveillance by dynamic visual attention method

María T. López;Antonio Fernández-Caballero;Miguel A. Fernández;José Mira.
Pattern Recognition (2006)

98 Citations

Best Scientists Citing Antonio Fernández-Caballero

Juan Manuel Górriz

Juan Manuel Górriz

University of Granada

Publications: 13

Juan M. Corchado

Juan M. Corchado

University of Salamanca

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Javier Bajo

Javier Bajo

Technical University of Madrid

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Shuihua Wang

Shuihua Wang

University of Leicester

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Adel M. Alimi

Adel M. Alimi

University of Sfax

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Yudong Zhang

Yudong Zhang

University of Leicester

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Kang Ryoung Park

Kang Ryoung Park

Dongguk University

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Jean Vanderdonckt

Jean Vanderdonckt

Université Catholique de Louvain

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Liang Lin

Liang Lin

Sun Yat-sen University

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Thomas B. Moeslund

Thomas B. Moeslund

Aalborg University

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Wangmeng Zuo

Wangmeng Zuo

Harbin Institute of Technology

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Florentino Fdez-Riverola

Florentino Fdez-Riverola

Universidade de Vigo

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Manuel Graña

Manuel Graña

University of the Basque Country

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Meng Wang

Meng Wang

Hefei University of Technology

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Joëlle Coutaz

Joëlle Coutaz

Grenoble Alpes University

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Mario Vento

Mario Vento

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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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