H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 36 Citations 5,532 218 World Ranking 5541 National Ranking 259

Research.com Recognitions

Awards & Achievements

2002 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to pattern recognition with applications to speech processing and image understanding, and for service to IAPR.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Speech recognition, Natural language processing, Computer vision and Segmentation are his primary areas of study. Heinrich Niemann interconnects Data mining and Pattern recognition in the investigation of issues within Artificial intelligence. His Speech recognition research incorporates themes from Entropy and Statistical model.

His Natural language processing research is multidisciplinary, incorporating perspectives in Prosody and Dialog system, Dialog box. His Computer vision research focuses on Visualization and how it connects with Accumulator, Concurrent computing and Median filter. In his study, which falls under the umbrella issue of Segmentation, Sequence is strongly linked to Dialog act.

His most cited work include:

  • VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system (251 citations)
  • ERNEST: a semantic network system for pattern understanding (160 citations)
  • Automated segmentation of the optic nerve head for diagnosis of glaucoma (152 citations)

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

His main research concerns Artificial intelligence, Computer vision, Natural language processing, Speech recognition and Pattern recognition. His Artificial intelligence study frequently involves adjacent topics like Machine learning. His research investigates the connection with Computer vision and areas like Computer graphics which intersect with concerns in Visualization.

His Natural language processing research focuses on Dialog system and how it relates to Utterance. He regularly ties together related areas like Word in his Speech recognition studies. The study incorporates disciplines such as Motion estimation and Image in addition to Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (77.26%)
  • Computer vision (35.74%)
  • Natural language processing (24.19%)

What were the highlights of his more recent work (between 2002-2013)?

  • Artificial intelligence (77.26%)
  • Computer vision (35.74%)
  • Video tracking (5.42%)

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

His scientific interests lie mostly in Artificial intelligence, Computer vision, Video tracking, Speech recognition and Pattern recognition. His Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing. The various areas that Heinrich Niemann examines in his Natural language processing study include Speech corpus, Speech analytics and Word.

His research in Computer vision tackles topics such as Computer graphics which are related to areas like Augmented reality and Visualization. His Speech recognition research is multidisciplinary, incorporating elements of Context and Facial recognition system. In general Pattern recognition, his work in Linde–Buzo–Gray algorithm is often linked to Hand eye calibration, Data selection and Energy minimization linking many areas of study.

Between 2002 and 2013, his most popular works were:

  • Automated segmentation of the optic nerve head for diagnosis of glaucoma (152 citations)
  • A refined ICP algorithm for robust 3-D correspondence estimation (109 citations)
  • The Prosody Module (83 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Video tracking, Orientation and Robustness. His is doing research in Segmentation, Pixel, Image processing, Active contour model and Hough transform, both of which are found in Artificial intelligence. His work in Computer vision addresses issues such as Calibration, which are connected to fields such as Sequence.

His Video tracking research incorporates elements of Inverse and Feature tracking. His Orientation study combines topics from a wide range of disciplines, such as Robot and Endoscope, Surgery. His studies in Robustness integrate themes in fields like Affine motion, Computation and Outlier.

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

ERNEST: a semantic network system for pattern understanding

H. Niemann;G.F. Sagerer;S. Schroder;F. Kummert.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1990)

281 Citations

VERBMOBIL: the use of prosody in the linguistic components of a speech understanding system

E. Noth;A. Batliner;A. Kiessling;R. Kompe.
IEEE Transactions on Speech and Audio Processing (2000)

251 Citations

Model based extraction of articulated objects in image sequences for gait analysis

D. Meyer;J. Denzler;H. Niemann.
international conference on image processing (1997)

246 Citations

Pattern Analysis and Understanding

Heinrich Niemann.
(1990)

211 Citations

Automated segmentation of the optic nerve head for diagnosis of glaucoma

Radim Chrástek;Matthias Wolf;Klaus Donath;Heinrich Niemann.
Medical Image Analysis (2005)

204 Citations

Klassifikation von Mustern

Heinrich Niemann.
(1983)

187 Citations

A refined ICP algorithm for robust 3-D correspondence estimation

T. Zinsser;J. Schmidt;H. Niemann.
international conference on image processing (2003)

166 Citations

Joint modeling of DNA sequence and physical properties to improve eukaryotic promoter recognition.

Uwe Ohler;Heinrich Niemann;Guo-chun Liao;Gerald M. Rubin.
Bioinformatics (2001)

157 Citations

"Of all things the measure is man" automatic classification of emotions and inter-labeler consistency [speech-based emotion recognition]

S. Steidl;M. Levit;A. Batliner;E. Noth.
international conference on acoustics, speech, and signal processing (2005)

145 Citations

Towards understanding spontaneous speech: word accuracy vs. concept accuracy

M. Boros;W. Eckert;F. Gallwitz;G. Gorz.
international conference on spoken language processing (1996)

138 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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