H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 34 Citations 5,688 166 World Ranking 6444 National Ranking 21

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

His primary areas of study are Artificial intelligence, Spoofing attack, Computer vision, Biometrics and Facial recognition system. The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. His Spoofing attack study combines topics in areas such as Deep learning and Face detection.

His work in the fields of Computer vision, such as Image resolution and Digital image, overlaps with other areas such as Scale. His Biometrics study incorporates themes from Fingerprint recognition and Authentication. Anderson Rocha interconnects Image processing, Replay attack and Computer security in the investigation of issues within Facial recognition system.

His most cited work include:

  • Deep Representations for Iris, Face, and Fingerprint Spoofing Detection (307 citations)
  • Vision of the unseen: Current trends and challenges in digital image and video forensics (200 citations)
  • Automatic fruit and vegetable classification from images (166 citations)

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

Anderson Rocha spends much of his time researching Artificial intelligence, Machine learning, Computer vision, Pattern recognition and Image. His study in Feature extraction, Biometrics, Deep learning, Facial recognition system and Face is carried out as part of his studies in Artificial intelligence. His research in Biometrics intersects with topics in Mobile device, Spoofing attack and Authentication.

His studies in Machine learning integrate themes in fields like Classifier and Image fusion. His work carried out in the field of Pattern recognition brings together such families of science as Contextual image classification, Bag-of-words model in computer vision, Categorization and Image processing. His Image research integrates issues from Theoretical computer science, Information retrieval and Data mining.

He most often published in these fields:

  • Artificial intelligence (65.84%)
  • Machine learning (28.22%)
  • Computer vision (26.73%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (65.84%)
  • Machine learning (28.22%)
  • Biometrics (11.39%)

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

His main research concerns Artificial intelligence, Machine learning, Biometrics, Human–computer interaction and Task analysis. The study incorporates disciplines such as Computer vision and Pattern recognition in addition to Artificial intelligence. His study explores the link between Pattern recognition and topics such as Fisher vector that cross with problems in Data-driven.

His Biometrics study integrates concerns from other disciplines, such as Face, Synthetic data and Presentation. His research integrates issues of Violence detection, Relation, Mobile device and Authentication in his study of Human–computer interaction. His Task analysis research is multidisciplinary, relying on both Feature extraction, Prediction algorithms and Data science.

Between 2019 and 2021, his most popular works were:

  • Covid-19 Automated Diagnosis and Risk Assessment through Metabolomics and Machine Learning. (4 citations)
  • Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet? (4 citations)
  • EMET: Embeddings from Multilingual-Encoder Transformer for Fake News Detection (4 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Anderson Rocha focuses on Artificial intelligence, Machine learning, In patient, Computer vision and Metabolomics. Anderson Rocha performs multidisciplinary studies into Artificial intelligence and Identity in his work. His Maximum mean discrepancy research extends to the thematically linked field of Machine learning.

Other disciplines of study, such as Risk management, Coronavirus disease 2019, Diagnostic methods, Risk assessment and Paracoccidioidomycosis, are mixed together with his In patient studies. His Face Presentation, Biometrics and Image study in the realm of Computer vision interacts with subjects such as Surface. His study in Deep learning is interdisciplinary in nature, drawing from both Test, Range and Benchmark.

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

Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

David Menotti;Giovani Chiachia;Allan Pinto;William Robson Schwartz.
IEEE Transactions on Information Forensics and Security (2015)

434 Citations

Vision of the unseen: Current trends and challenges in digital image and video forensics

Anderson Rocha;Walter Scheirer;Terrance Boult;Siome Goldenstein.
ACM Computing Surveys (2011)

303 Citations

Automatic fruit and vegetable classification from images

Anderson Rocha;Daniel C. Hauagge;Jacques Wainer;Siome Goldenstein.
Computers and Electronics in Agriculture (2010)

291 Citations

Competition on counter measures to 2-D facial spoofing attacks

Murali Mohan Chakka;Andre Anjos;Sebastien Marcel;Roberto Tronci.
International Journal of Central Banking (2011)

191 Citations

Meta-Recognition: The Theory and Practice of Recognition Score Analysis

W J Scheirer;A Rocha;R J Micheals;T E Boult.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)

173 Citations

Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches

Anderson Rocha;Siome Klein Goldenstein.
IEEE Transactions on Neural Networks (2014)

167 Citations

Authorship Attribution for Social Media Forensics

Anderson Rocha;Walter J. Scheirer;Christopher W. Forstall;Thiago Cavalcante.
IEEE Transactions on Information Forensics and Security (2017)

157 Citations

Going deeper into copy-move forgery detection

Ewerton Silva;Tiago Carvalho;Anselmo Ferreira;Anderson Rocha.
Journal of Visual Communication and Image Representation (2015)

154 Citations

Points of Interest and Visual Dictionaries for Automatic Retinal Lesion Detection

A. Rocha;T. Carvalho;H. F. Jelinek;S. Goldenstein.
IEEE Transactions on Biomedical Engineering (2012)

152 Citations

Face liveness detection under bad illumination conditions

Bruno Peixoto;Carolina Michelassi;Anderson Rocha.
international conference on image processing (2011)

151 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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Top Scientists Citing Anderson Rocha

Ricardo da Silva Torres

Ricardo da Silva Torres

Norwegian University of Science and Technology

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Sébastien Marcel

Idiap Research Institute

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Politecnico di Milano

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Walter J. Scheirer

University of Notre Dame

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João Paulo Papa

Sao Paulo State University

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Terrance E. Boult

Terrance E. Boult

University of Colorado Colorado Springs

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Kevin W. Bowyer

Kevin W. Bowyer

University of Notre Dame

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Alexandre X. Falcão

Alexandre X. Falcão

State University of Campinas

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Stan Z. Li

Stan Z. Li

Chinese Academy of Sciences

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Abdenour Hadid

Abdenour Hadid

University of Oulu

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Arun Ross

Arun Ross

Michigan State University

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Christoph Busch

Christoph Busch

Norwegian University of Science and Technology

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Edward J. Delp

Edward J. Delp

Purdue University West Lafayette

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Zhen Lei

Zhen Lei

Chinese Academy of Sciences

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Patrick J. Flynn

Patrick J. Flynn

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