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 53 Citations 9,091 257 World Ranking 2506 National Ranking 30

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Julian Fierrez mostly deals with Biometrics, Artificial intelligence, Pattern recognition, Pattern recognition and Facial recognition system. Julian Fierrez interconnects Data mining, Database and Fingerprint in the investigation of issues within Biometrics. His studies deal with areas such as Liveness, Machine learning and Computer vision as well as Artificial intelligence.

The various areas that Julian Fierrez examines in his Pattern recognition study include Image and Biometric system. His studies in Pattern recognition integrate themes in fields like Field, Training set and Information retrieval. His Facial recognition system research incorporates themes from Modality, Soft biometrics and Authentication.

His most cited work include:

  • Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (349 citations)
  • HMM-based on-line signature verification: Feature extraction and signature modeling (258 citations)
  • Biometric Antispoofing Methods: A Survey in Face Recognition (234 citations)

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

Julian Fierrez mainly investigates Artificial intelligence, Biometrics, Pattern recognition, Computer vision and Face. Artificial intelligence is frequently linked to Machine learning in his study. His Biometrics research integrates issues from Speech recognition, Data mining, Authentication and Pattern recognition.

His Authentication research is multidisciplinary, incorporating perspectives in Password and Touchscreen, Human–computer interaction. Julian Fierrez works mostly in the field of Pattern recognition, limiting it down to topics relating to Minutiae and, in certain cases, Latent fingerprint and Identification. His Computer vision research focuses on Image segmentation, Fingerprint, Iris recognition and Feature.

He most often published in these fields:

  • Artificial intelligence (61.36%)
  • Biometrics (51.30%)
  • Pattern recognition (26.62%)

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

  • Artificial intelligence (61.36%)
  • Biometrics (51.30%)
  • Face (17.21%)

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

His scientific interests lie mostly in Artificial intelligence, Biometrics, Face, Machine learning and Deep learning. The study incorporates disciplines such as Field, Information sensitivity, Set and Pattern recognition in addition to Artificial intelligence. Biometrics is a subfield of Computer security that Julian Fierrez investigates.

His study in the field of Facial recognition system also crosses realms of Generator, Affect and Demographics. His Machine learning research includes themes of Dynamic time warping, Representation, State and Benchmark. Julian Fierrez has included themes like Character and Data science in his Deep learning study.

Between 2019 and 2021, his most popular works were:

  • DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (68 citations)
  • DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection (30 citations)
  • GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection (17 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Biometrics, Deep learning, Machine learning and Authentication. Much of his study explores Artificial intelligence relationship to Pattern recognition. Julian Fierrez has researched Biometrics in several fields, including Gesture, Gesture recognition, Handwriting and Human–computer interaction.

His Deep learning study integrates concerns from other disciplines, such as Adversarial system and Data science. His Machine learning research is multidisciplinary, relying on both Information sensitivity, Face and State. His Authentication study combines topics from a wide range of disciplines, such as Password, Touchscreen and Data mining.

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

Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition

Javier Galbally;Sebastien Marcel;Julian Fierrez.
IEEE Transactions on Image Processing (2014)

532 Citations

HMM-based on-line signature verification: Feature extraction and signature modeling

Julian Fierrez;Javier Ortega-Garcia;Daniel Ramos;Joaquin Gonzalez-Rodriguez.
Pattern Recognition Letters (2007)

384 Citations

Biometric Antispoofing Methods: A Survey in Face Recognition

Javier Galbally;Sebastien Marcel;Julian Fierrez.
IEEE Access (2014)

316 Citations

A Comparative Study of Fingerprint Image-Quality Estimation Methods

F. Alonso-Fernandez;J. Fierrez;J. Ortega-Garcia;J. Gonzalez-Rodriguez.
IEEE Transactions on Information Forensics and Security (2007)

285 Citations

The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Javier Ortega-Garcia;Julian Fierrez;Fernando Alonso-Fernandez;Javier Galbally.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

248 Citations

A high performance fingerprint liveness detection method based on quality related features

Javier Galbally;Fernando Alonso-Fernandez;Julian Fierrez;Javier Ortega-Garcia.
Future Generation Computer Systems (2012)

245 Citations

Rapid and brief communication: Biosec baseline corpus: A multimodal biometric database

Julian Fierrez;Javier Ortega-Garcia;Doroteo Torre Toledano;Joaquin Gonzalez-Rodriguez.
Pattern Recognition (2007)

197 Citations

Cancelable Templates for Sequence-Based Biometrics with Application to On-line Signature Recognition

Emanuele Maiorana;Patrizio Campisi;Julian Fierrez;Javier Ortega-Garcia.
systems man and cybernetics (2010)

172 Citations

BiosecurID: a multimodal biometric database

J. Fierrez;J. Galbally;J. Ortega-Garcia;M. R. Freire.
Pattern Analysis and Applications (2010)

169 Citations

Fingerprint Databases and Evaluation

Fernando Alonso-Fernandez;Julian Fierrez.
Encyclopedia of Biometrics (2015)

152 Citations

Best Scientists Citing Julian Fierrez

Christoph Busch

Christoph Busch

Norwegian University of Science and Technology

Publications: 113

Christian Rathgeb

Christian Rathgeb

Darmstadt University of Applied Sciences

Publications: 56

Miguel Ferrer

Miguel Ferrer

University of Las Palmas de Gran Canaria

Publications: 47

Réjean Plamondon

Réjean Plamondon

Polytechnique Montréal

Publications: 34

Sébastien Marcel

Sébastien Marcel

Idiap Research Institute

Publications: 32

Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

Publications: 31

Andreas Uhl

Andreas Uhl

University of Salzburg

Publications: 31

Josef Bigun

Josef Bigun

Halmstad University

Publications: 30

Arun Ross

Arun Ross

Michigan State University

Publications: 26

Anil K. Jain

Anil K. Jain

Michigan State University

Publications: 23

Patrizio Campisi

Patrizio Campisi

Roma Tre University

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Krzysztof Cpałka

Krzysztof Cpałka

Częstochowa University of Technology

Publications: 22

Andrew Beng Jin Teoh

Andrew Beng Jin Teoh

Yonsei University

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Marcos Faundez-Zanuy

Marcos Faundez-Zanuy

Pompeu Fabra University

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Yasushi Yagi

Yasushi Yagi

Osaka University

Publications: 19

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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