2026 Alfred Ultsch: 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	35	11679	11345	575	562	177	5410

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

11679

11345

575

562

177

5410

Overview

Alfred Ultsch is affiliated with Philipp University of Marburg in Germany and has contributed to research primarily within the fields of Computer Science and Biochemistry, Genetics, and Molecular Biology.

The main subfields associated with their work include:

Artificial Intelligence
Molecular Biology
Statistics and Probability
Signal Processing
Rheumatology

Key topics covered in their research encompass:

Gene expression and cancer classification
Advanced Clustering Algorithms Research
Machine Learning and Data Classification
Bioinformatics and Genomic Networks
Neural Networks and Applications
Advanced Chemical Sensor Technologies
Explainable Artificial Intelligence (XAI)

Several recent papers illustrate the breadth of their contributions:

"Explainable Artificial Intelligence (XAI) in Biomedicine: Making AI Decisions Trustworthy for Physicians and Patients" (2021), published in BioMedInformatics
"Swarm intelligence for self-organized clustering" (2020), published in Artificial Intelligence
"Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data" (2020), published in Journal of Classification
"Clustering benchmark datasets exploiting the fundamental clustering problems" (2020), published in Data in Brief
"Analyzing the fine structure of distributions" (2020), published in PLoS ONE

Frequent co-authors collaborating with Alfred Ultsch include:

Jörn Lötsch
Michael C. Thrun
Cornelia Brendel
Dario Kringel
Maximilian Alexander Röhnert

Their publications appear regularly in the following venues:

Scientific Reports
Research Square (Research Square)
BioMedInformatics
PLoS ONE
Preprints.org

Best Publications

Kohonen's Self Organizing Feature Maps for Exploratory Data Analysis

A. Ultsch

847
Citations
Maps for the Visualization of high-dimensional Data Spaces

Alfred Ultsch

252
Citations
Self-Organizing Neural Networks for Visualisation and Classification

Unknown

218
Citations
Machine learning in pain research.

Jörn Lötsch;Alfred Ultsch

209
Citations
Data Mining and Knowledge Discovery with Emergent Self-Organizing Feature Maps for Multivariate Time Series

A. Ultsch

184
Citations
Optimizing time series discretization for knowledge discovery

Fabian Mörchen;Alfred Ultsch

160
Citations
Self Organized Feature Maps for Monitoring and Knowledge Aquisition of a Chemical Process

Alfred Ultsch

126
Citations
Machine-learned cluster identification in high-dimensional data

Alfred Ultsch;Jrn Ltsch

121
Citations
Efficient mining of understandable patterns from multivariate interval time series

Fabian Mörchen;Alfred Ultsch

116
Citations
DATABIONIC VISUALIZATION OF MUSIC COLLECTIONS ACCORDING TO PERCEPTUAL DISTANCE

Fabian Mörchen;Alfred Ultsch;Mario Nöcker;Christian Stamm

104
Citations
Knowledge Extraction from Self-Organizing Neural Networks

A. Ultsch

104
Citations
Modeling timbre distance with temporal statistics from polyphonic music

F. Morchen;A. Ultsch;M. Thies;I. Lohken

97
Citations
Computed ABC Analysis for Rational Selection of Most Informative Variables in Multivariate Data.

Alfred Ultsch;Jörn Lötsch

96
Citations
Functional genomics of pain in analgesic drug development and therapy.

Jörn Lötsch;Alexandra Doehring;Jeffrey S. Mogil;Torsten Arndt;Torsten Arndt

88
Citations
The Architecture of Emergent Self-Organizing Maps to Reduce Projection Errors

Alfred Ultsch;Lutz Herrmann

80
Citations
Advances in Data Analysis, Data Handling and Business Intelligence

Andreas Fink;Berthold Lausen;Wilfried Seidel;Alfred Ultsch

78
Citations
Pareto Density Estimation: A Density Estimation for Knowledge Discovery

Alfred Ultsch

74
Citations
Swarm intelligence for self-organized clustering

Michael C. Thrun;Alfred Ultsch

70
Citations
Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy

Jörn Lötsch;Jörn Lötsch;Susanne Schiffmann;Katja Schmitz;Robert Brunkhorst

69
Citations
Emergence in Self Organizing Feature Maps

Alfred Ultsch

68
Citations
Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data

Michael C. Thrun;Alfred Ultsch

59
Citations
Self-organizing feature maps predicting sea levels

Alfred Ultsch;Frank Röske

55
Citations

Frequent Co-Authors

Thomas Hummel TU Dresden

Lutz Breuer University of Giessen

Günther Palm University of Ulm

Joachim L. Schultze University of Bonn

Sebastian Risi IT University of Copenhagen

Jeffrey S. Mogil McGill University

Rainer Freynhagen Technical University of Munich

Jörg Hoffmann Saarland University

Moustafa Bensafi Grenoble Alpes University

Jürg Schweizer Swiss Federal Institute for Forest, Snow and Landscape Research

External Links

Personal website of Alfred Ultsch

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