2026 Gerhard Rigoll: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	69	1981	1919	76	73	566	18384

Research.com Recognitions

2025 - Research.com Computer Science in Germany Leader Award
2022 - Research.com Computer Science in Germany Leader Award
2019 - IEEE Fellow For contributions to multimodal human-machine communication

Overview

Gerhard Rigoll is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on computer science and engineering, with significant contributions in the fields of computer vision and pattern recognition, artificial intelligence, signal processing, biomedical engineering, and aerospace engineering.

The scientist's work covers a variety of topics including:

Speech Recognition and Synthesis
Speech and Audio Processing
Music and Audio Processing
Advanced Neural Network Applications
Human Pose and Action Recognition
Face Recognition and Analysis
Video Surveillance and Tracking Methods

Gerhard Rigoll has collaborated frequently with several co-authors, notably Fabian Herzog, Ludwig Kürzinger, Tobias Watzel, Torben Teepe, and Lujun Li, each with more than a dozen joint publications.

The scientist has published extensively, including papers such as:

Towards a Deeper Understanding of Skeleton-based Gait Recognition (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Online Dynamic Hand Gesture Recognition Including Efficiency Analysis (2020), published in IEEE Transactions on Biometrics Behavior and Identity Science
How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild (2021), in the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments (2021), featured at the 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)
Improved 3D Object Detector Under Snowfall Weather Condition Based on LiDAR Point Cloud (2022), appearing in the IEEE Sensors Journal

In addition to conference and journal papers, Gerhard Rigoll has contributed to book publications with Springer Science+Business Media. These include the titles Interactive Collaborative Robotics published in both 2020 and 2021.

Publication venues where Rigoll's work frequently appears include arXiv (Cornell University), Lecture Notes in Computer Science, the IEEE International Conference on Automatic Face and Gesture Recognition, IEEE Sensors Journal, and Automotive Innovation.

Recognitions awarded to Gerhard Rigoll include the IEEE Fellow distinction in 2019 for contributions to multimodal human-machine communication.

Best Publications

Hidden Markov model-based speech emotion recognition

B. Schuller;G. Rigoll;M. Lang

800
Citations
Background segmentation with feedback: The Pixel-Based Adaptive Segmenter

Martin Hofmann;Philipp Tiefenbacher;Gerhard Rigoll

759
Citations
SVC2004: First International Signature Verification Competition

Dit-Yan Yeung;Hong Chang;Yimin Xiong;Susan E. George

620
Citations
Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

B. Schuller;G. Rigoll;M. Lang

579
Citations
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

B Schuller;B Vlasenko;F Eyben;Martin Wöllmer

446
Citations
A deep convolutional neural network for video sequence background subtraction

Mohammadreza Babaee;Duc Tung Dinh;Gerhard Rigoll

421
Citations
Acoustic emotion recognition: A benchmark comparison of performances

Bjorn Schuller;Bogdan Vlasenko;Florian Eyben;Gerhard Rigoll

347
Citations
LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

Martin WöLlmer;Moritz Kaiser;Florian Eyben;BjöRn Schuller

331
Citations
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks

Okan Kopuklu;Ahmet Gunduz;Neslihan Kose;Gerhard Rigoll

286
Citations
The TUM Gait from Audio, Image and Depth (GAID) database

Martin Hofmann;Jürgen Geiger;Sebastian Bachmann;Björn Schuller

276
Citations
Multi-view gait recognition using 3D convolutional neural networks

Thomas Wolf;Mohammadreza Babaee;Gerhard Rigoll

249
Citations
High performance real-time gesture recognition using Hidden Markov Models

G. Rigoll;A. Kosmala;S. Eickeler

243
Citations
Speaker adaptation for large vocabulary speech recognition systems using speaker Markov models

G. Rigoll

235
Citations
Resource Efficient 3D Convolutional Neural Networks

Okan Kopuklu;Neslihan Kose;Ahmet Gunduz;Gerhard Rigoll

230
Citations
Recognition of JPEG compressed face images based on statistical methods

Stefan Eickeler;Stefan Müller;Gerhard Rigoll

228
Citations
Being bored? Recognising natural interest by extensive audiovisual integration for real-life application

Björn Schuller;Ronald Müller;Florian Eyben;Jürgen Gast

223
Citations
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

Torben Teepe;Ali Khan;Johannes Gilg;Fabian Herzog

209
Citations
Speaker Independent Emotion Recognition by Early Fusion of Acoustic and Linguistic Features within Ensembles

Björn W. Schuller;Ronald Müller;Manfred K. Lang;Gerhard Rigoll

198
Citations
Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening

Martin Wöllmer;Björn Schuller;Florian Eyben;Gerhard Rigoll

196
Citations
Speaker Independent Speech Emotion Recognition by Ensemble Classification

B. Schuller;S. Reiter;R. Muller;M. Al-Hames

190
Citations
Hidden Markov model based continuous online gesture recognition

S. Eickeler;A. Kosmala;G. Rigoll

184
Citations
Hidden Markov model-based speech emotion recognition

Unknown

109
Citations

Frequent Co-Authors

Björn Schuller Imperial College London

Martin Wöllmer Technical University of Munich

Florian Eyben Technical University of Munich

Felix Weninger Nuance Communications (United States)

Mihai Datcu German Aerospace Center

Shamik Sural Indian Institute of Technology Kharagpur

Nicholas Evans EURECOM

Alex Graves Google (United States)

Steve Renals University of Edinburgh

A. N. Rajagopalan Indian Institute of Technology Madras

External Links

Personal website of Gerhard Rigoll Google Scholar page

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