2026 Gernot A. Fink: 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	41	8896	8645	442	430	256	6551

Overview

Gernot A. Fink is affiliated with TU Dortmund University in Germany, specializing in computer science with a focus on computer vision, pattern recognition, and artificial intelligence. Their body of work includes 94 publications primarily within the broader field of computer science, with subfield emphases on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Signal Processing, and Surgery.

Their research covers a variety of topics including Handwritten Text Recognition Techniques, Context-Aware Activity Recognition Systems, Multimodal Machine Learning Applications, Anomaly Detection Techniques and Applications, Natural Language Processing Techniques, Topic Modeling, and Human Pose and Action Recognition.

Gernot A. Fink has authored papers in several publication venues. Notably, they have contributed 11 publications to arXiv (Cornell University), 3 to the 2022 26th International Conference on Pattern Recognition (ICPR), 3 to the International Journal on Document Analysis and Recognition (IJDAR), 3 to Zenodo (CERN European Organization for Nuclear Research), and 1 to Sensors.

Among recent papers published are:

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes, 2020, Sensors
Layout Analysis for Camera-Based Whiteboard Notes, 2020, Zenodo (CERN European Organization for Nuclear Research)
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs, 2022, arXiv (Cornell University)
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation, 2022, 2022 26th International Conference on Pattern Recognition (ICPR)
Design of an Artificial Neural Network Circuit for detecting Atrial Fibrillation in ECG Signals, 2021, 2021 IEEE Sensors

The scientist has collaborated frequently with a number of coauthors, including Fernando Moya Rueda (14 joint works), Fabian Wolf (13 joint works), Nilah Ravi Nair (11 joint works), Christopher Reining (10 joint works), and Oliver Tüselmann (9 joint works).

In addition to journal and conference papers, Gernot A. Fink has contributed to book publications, including a title published by Springer Science+Business Media: "Document Analysis and Recognition - ICDAR 2023" (2023).

Best Publications

Markov Models for Pattern Recognition: From Theory to Applications

Gernot A. Fink

402
Citations
Markov models for offline handwriting recognition: a survey

Thomas Plötz;Gernot A. Fink

323
Citations
PHOCNet: A Deep Convolutional Neural Network for Word Spotting in Handwritten Documents

Sebastian Sudholt;Gernot A. Fink

294
Citations
Combining acoustic and articulatory feature information for robust speech recognition

Katrin Kirchhoff;Gernot A Fink;Gerhard Sagerer

239
Citations
KHATT: An open Arabic offline handwritten text database

Sabri A. Mahmoud;Irfan Ahmad;Wasfi G. Al-Khatib;Mohammad Alshayeb

209
Citations
Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors

Fernando Moya Rueda;René Grzeszick;Gernot A. Fink;Sascha Feldhorst

191
Citations
Providing the basis for human-robot-interaction: a multi-modal attention system for a mobile robot

Sebastian Lang;Marcus Kleinehagenbrock;Sascha Hohenner;Jannik Fritsch

186
Citations
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images

Waleed M. Gondal;Jan M. Kohler;Rene Grzeszick;Gernot A. Fink

165
Citations
BIRON - The Bielefeld Robot Companion

Axel Haasch;Sascha Hohenner;Sonja Hüwel;Marcus Kleinehagenbrock

161
Citations
Multi-modal anchoring for human–robot interaction

Jannik Fritsch;Marcus Kleinehagenbrock;Sebastian Lang;Thomas Plötz

153
Citations
Developing HMM-Based Recognizers with ESMERALDA

Gernot A. Fink

142
Citations
Multi-modal human-machine communication for instructing robot grasping tasks

P. McGuire;J. Fritsch;J.J. Steil;F. Rothling

138
Citations
Bag-of-Features HMMs for Segmentation-Free Word Spotting in Handwritten Documents

Leonard Rothacker;Marcal Rusinol;Gernot A. Fink

131
Citations
KHATT: Arabic Offline Handwritten Text Database

Sabri A. Mahmoud;Irfan Ahmad;Mohammad Alshayeb;Wasfi G. Al-Khatib

129
Citations
Person tracking with a mobile robot based on multi-modal anchoring

M. Kleinehagenbrock;S. Lang;J. Fritsch;F. Lomker

124
Citations
Improving adaptive skin color segmentation by incorporating results from face detection

J. Fritsch;S. Lang;A. Kleinehagenbrock;G.A. Fink

117
Citations
Toward automatic video-based whiteboard reading

Markus Wienecke;Gernot A. Fink;Gerhard Sagerer

113
Citations
Audiovisual Person Tracking with a Mobile Robot

Jannik Fritsch;Marcus Kleinehagenbrock;Sebastian Lang;Gernot A. Fink

109
Citations
A Bag-of-Features approach to acoustic event detection

Axel Plinge;Rene Grzeszick;Gernot A. Fink

103
Citations
Face Detection Using GPU-Based Convolutional Neural Networks

Fabian Nasse;Christian Thurau;Gernot A. Fink

101
Citations

Frequent Co-Authors

Gerhard Sagerer Bielefeld University

Thomas Plötz Georgia Institute of Technology

Helge Ritter Bielefeld University

Jochen J. Steil Technische Universität Braunschweig

Christian Bauckhage University of Bonn

Heinrich Niemann University of Erlangen-Nuremberg

Bidyut B. Chaudhuri Indian Statistical Institute

Katrin Kirchhoff Amazon (United States)

Reinhold Haeb-Umbach University of Paderborn

Francisco Casacuberta Universitat Politècnica de València

External Links

Personal website of Gernot A. Fink

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