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 54 Citations 10,086 469 World Ranking 2377 National Ranking 4

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Operating system

Christoph Busch focuses on Biometrics, Artificial intelligence, Computer vision, Feature extraction and Facial recognition system. His Biometrics research is multidisciplinary, incorporating elements of Word error rate, Data mining, Feature and Bloom filter. His Artificial intelligence study frequently links to other fields, such as Pattern recognition.

His Computer vision study combines topics in areas such as Process, Convolutional neural network and Robustness. His Feature extraction research integrates issues from Segmentation, Pixel, Speech recognition, Hidden Markov model and Authentication. His studies in Facial recognition system integrate themes in fields like Light-field camera, Data science and Vulnerability.

His most cited work include:

  • Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition (290 citations)
  • Ear biometrics: a survey of detection, feature extraction and recognition methods (160 citations)
  • Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey (149 citations)

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

His scientific interests lie mostly in Artificial intelligence, Biometrics, Pattern recognition, Computer vision and Feature extraction. His study in Facial recognition system, Face, Iris recognition, Fingerprint recognition and Word error rate is carried out as part of his studies in Artificial intelligence. His work deals with themes such as Morphing, Robustness and Vulnerability, which intersect with Facial recognition system.

His Iris recognition research incorporates themes from IRIS, Iris and Bloom filter. In his study, which falls under the umbrella issue of Biometrics, Search engine indexing is strongly linked to Data mining. Spoofing attack is closely connected to Presentation in his research, which is encompassed under the umbrella topic of Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (65.04%)
  • Biometrics (62.68%)
  • Pattern recognition (35.51%)

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

  • Artificial intelligence (65.04%)
  • Biometrics (62.68%)
  • Facial recognition system (23.37%)

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

His primary scientific interests are in Artificial intelligence, Biometrics, Facial recognition system, Pattern recognition and Face. His work focuses on many connections between Artificial intelligence and other disciplines, such as Computer vision, that overlap with his field of interest in Visualization. His Biometrics study deals with the bigger picture of Computer security.

Christoph Busch combines subjects such as Spoofing attack, Morphing, Data science and Access control with his study of Facial recognition system. The Pattern recognition study combines topics in areas such as Pixel and Metric. His research integrates issues of Image quality and Vulnerability in his study of Face.

Between 2019 and 2021, his most popular works were:

  • Demographic Bias in Biometrics: A Survey on an Emerging Challenge (48 citations)
  • Biometric Presentation Attack Detection: Beyond the Visible Spectrum (36 citations)
  • Deep Face Representations for Differential Morphing Attack Detection (20 citations)

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

  • Artificial intelligence
  • Operating system
  • Computer vision

Artificial intelligence, Biometrics, Facial recognition system, Pattern recognition and Face are his primary areas of study. His work in Artificial intelligence tackles topics such as Computer vision which are related to areas like Plastic surgery. Christoph Busch has included themes like Word error rate, Presentation, Fingerprint, Fingerprint recognition and Feature vector in his Biometrics study.

His Facial recognition system study incorporates themes from Spoofing attack, Morphing and Data science. His biological study spans a wide range of topics, including Face Presentation, Image properties and Detection performance. In his study, Process, Pixel and Landmark is strongly linked to Vulnerability, which falls under the umbrella field of Face.

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

Unobtrusive User-Authentication on Mobile Phones Using Biometric Gait Recognition

Mohammad Omar Derawi;Claudia Nickel;Patrick Bours;Christoph Busch.
intelligent information hiding and multimedia signal processing (2010)

465 Citations

Ear biometrics: a survey of detection, feature extraction and recognition methods

Anika Pflug;Christoph Busch.
IET Biometrics (2012)

235 Citations

Integer DCT-based reversible watermarking for images using companding technique

Bian Yang;Martin Schmucker;Wolfgang Funk;Christoph Busch.
conference on security steganography and watermarking of multimedia contents (2004)

200 Citations

Digital watermarking: from concepts to real-time video applications

C. Busch;W. Funk;S. Wolthusen.
IEEE Computer Graphics and Applications (1999)

188 Citations

Reversible watermarking of 2D-vector data

Michael Voigt;Bian Yang;Christoph Busch.
acm workshop on multimedia and security (2004)

183 Citations

Smartphone based visible iris recognition using deep sparse filtering

Kiran B. Raja;R. Raghavendra;Vinay Krishna Vemuri;Christoph Busch.
Pattern Recognition Letters (2015)

182 Citations

Presentation Attack Detection Methods for Face Recognition Systems: A Comprehensive Survey

Raghavendra Ramachandra;Christoph Busch.
ACM Computing Surveys (2017)

180 Citations

Presentation attack detection methods for fingerprint recognition systems: a survey

Ctirad Sousedik;Christoph Busch.
IET Biometrics (2014)

162 Citations

Authentication of Smartphone Users Based on the Way They Walk Using k-NN Algorithm

Claudia Nickel;Tobias Wirtl;Christoph Busch.
intelligent information hiding and multimedia signal processing (2012)

157 Citations

Towards Blind Detection of Robust Watermarks in Polygonal Models

Oliver Benedens;Christoph Busch.
Computer Graphics Forum (2000)

150 Citations

Best Scientists Citing Christoph Busch

Andreas Uhl

Andreas Uhl

University of Salzburg

Publications: 72

Richa Singh

Richa Singh

Indian Institute of Technology Jodhpur

Publications: 40

Sébastien Marcel

Sébastien Marcel

Idiap Research Institute

Publications: 40

Julian Fierrez

Julian Fierrez

Autonomous University of Madrid

Publications: 33

Andrew Beng Jin Teoh

Andrew Beng Jin Teoh

Yonsei University

Publications: 32

Arun Ross

Arun Ross

Michigan State University

Publications: 27

Anil K. Jain

Anil K. Jain

Michigan State University

Publications: 22

Christian Rathgeb

Christian Rathgeb

Darmstadt University of Applied Sciences

Publications: 22

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 19

Zhenan Sun

Zhenan Sun

Chinese Academy of Sciences

Publications: 17

Josef Bigun

Josef Bigun

Halmstad University

Publications: 17

Kevin W. Bowyer

Kevin W. Bowyer

University of Notre Dame

Publications: 16

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 15

Vincenzo Piuri

Vincenzo Piuri

University of Milan

Publications: 14

Nathan Clarke

Nathan Clarke

Plymouth University

Publications: 14

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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