H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 9,834 525 World Ranking 3598 National Ranking 27

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

Andreas Uhl mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Biometrics and Iris recognition. His Feature extraction, Wavelet transform, Image processing and Deep learning study in the realm of Artificial intelligence connects with subjects such as Colonic Polyp. His work carried out in the field of Pattern recognition brings together such families of science as Ground truth, Local binary patterns and Invariant.

The study incorporates disciplines such as Cryptography, Data mining and Fuzzy logic in addition to Biometrics. His studies in Iris recognition integrate themes in fields like IRIS, Segmentation, Key and Iris. His Wavelet study incorporates themes from Algorithm, Filter and Digital watermarking.

His most cited work include:

  • A survey on biometric cryptosystems and cancelable biometrics (443 citations)
  • Survey of wavelet-domain watermarking algorithms (265 citations)
  • SELECTIVE BITPLANE ENCRYPTION FOR SECURE TRANSMISSION OF IMAGE DATA IN MOBILE ENVIRONMENTS (147 citations)

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

Artificial intelligence, Computer vision, Pattern recognition, Biometrics and Feature extraction are his primary areas of study. Iris recognition, Wavelet, Wavelet transform, Segmentation and Contextual image classification are the primary areas of interest in his Artificial intelligence study. His Wavelet research focuses on subjects like Algorithm, which are linked to Theoretical computer science.

His research on Computer vision often connects related areas such as Robustness. His Pattern recognition study incorporates themes from Local binary patterns and Image. His work carried out in the field of Biometrics brings together such families of science as Data mining and Identification.

He most often published in these fields:

  • Artificial intelligence (59.03%)
  • Computer vision (33.02%)
  • Pattern recognition (31.93%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (59.03%)
  • Pattern recognition (31.93%)
  • Biometrics (21.03%)

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

His primary areas of investigation include Artificial intelligence, Pattern recognition, Biometrics, Computer vision and Finger vein recognition. Artificial intelligence is a component of his Feature extraction, Iris recognition, Convolutional neural network, Segmentation and IRIS studies. His Feature extraction research is multidisciplinary, relying on both Data mining and Robustness.

Andreas Uhl studied Pattern recognition and Fingerprint recognition that intersect with Matching and Fingerprint. His Biometrics study integrates concerns from other disciplines, such as Facial recognition system, Face, Image warping, Image and Pattern recognition. His Computer vision study combines topics in areas such as Authentication, Dorsum, Scanner and Data set.

Between 2016 and 2021, his most popular works were:

  • Depreciating Motivation and Empirical Security Analysis of Chaos-Based Image and Video Encryption (88 citations)
  • Deep Learning with Topological Signatures (51 citations)
  • Deep Learning with Topological Signatures (42 citations)

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

  • Artificial intelligence
  • Statistics
  • Computer vision

Andreas Uhl mostly deals with Artificial intelligence, Pattern recognition, Biometrics, Feature extraction and Computer vision. His Iris recognition, Finger vein recognition, Convolutional neural network, IRIS and Segmentation study are his primary interests in Artificial intelligence. His Pattern recognition research includes themes of Persistent homology, Spoofing attack, Margin, Deep learning and Perspective.

His Biometrics study combines topics from a wide range of disciplines, such as Word error rate, Image processing, Multivariate statistics, Eeg recording and Autoregressive model. His research in Feature extraction intersects with topics in Image segmentation, Data mining, Geometric shape, Rotation and Support vector machine. The Computer vision study combines topics in areas such as Dorsum and Data set.

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

A survey on biometric cryptosystems and cancelable biometrics

Christian Rathgeb;Andreas Uhl.
Eurasip Journal on Information Security (2011)

632 Citations

Survey of wavelet-domain watermarking algorithms

Peter Meerwald;Andreas Uhl.
Proceedings of SPIE (2001)

410 Citations

SELECTIVE BITPLANE ENCRYPTION FOR SECURE TRANSMISSION OF IMAGE DATA IN MOBILE ENVIRONMENTS

Martina Podesser;Hans-Peter Schmidt;Andreas Uhl.
(2002)

219 Citations

Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review

Michael Liedlgruber;Andreas Uhl.
IEEE Reviews in Biomedical Engineering (2011)

194 Citations

Image and Video Encryption: From Digital Rights Management to Secured Personal Communication

Andreas Uhl;Andreas Pommer.
(2004)

190 Citations

BlenSor: blender sensor simulation toolbox

Michael Gschwandtner;Roland Kwitt;Andreas Uhl;Wolfgang Pree.
international symposium on visual computing (2011)

184 Citations

A Survey of H.264 AVC/SVC Encryption

T. Stutz;A. Uhl.
IEEE Transactions on Circuits and Systems for Video Technology (2012)

182 Citations

Selective encryption of wavelet-packet encoded image data: efficiency and security

Andreas Pommer;Andreas Uhl.
Multimedia Systems (2003)

146 Citations

Confidential storage and transmission of medical image data

Roland Norcen;M. Podesser;Andreas Pommer;H.-P. Schmidt.
Computers in Biology and Medicine (2003)

140 Citations

Weighted adaptive Hough and ellipsopolar transforms for real-time iris segmentation

Andreas Uhl;Peter Wild.
international conference on biometrics (2012)

135 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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