2026 Tobias Scheffer: 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	43	7962	7735	388	376	136	8160

Tobias Scheffer publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tobias Scheffer sits on this spectrum.

32 publications 991+

This scientist: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tobias Scheffer D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Tobias Scheffer sits on this spectrum.

30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Tobias Scheffer is affiliated with the University of Potsdam in Germany and has a research focus primarily in the field of Computer Science. Their work spans various subfields including Cognitive Neuroscience, Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, and Human-Computer Interaction.

Their scholarly output includes publications in several venues, with multiple contributions to Procedia Computer Science, npj Digital Medicine, NAR Genomics and Bioinformatics, arXiv (Cornell University), and Zenodo (CERN European Organization for Nuclear Research).

The main topics covered in Tobias Scheffer's research reflect interdisciplinarity and technical depth. These topics include:

Computational Drug Discovery Methods
Gaze Tracking and Assistive Technology
EEG and Brain-Computer Interfaces
Topic Modeling
PARP inhibition in cancer therapy
Autism Spectrum Disorder Research
Attention Deficit Hyperactivity Disorder

Recent published papers demonstrate their range in both application and methodology. Notable papers include:

RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting, 2020, Geoscientific model development
Towards the automatic detection of social biomarkers in autism spectrum disorder: introducing the simulated interaction task (SIT), 2020, npj Digital Medicine
DeepEyedentificationLive: Oculomotoric Biometric Identification and Presentation-Attack Detection Using Deep Neural Networks, 2021, IEEE Transactions on Biometrics Behavior and Identity Science
Eyettention: An Attention-based Dual-Sequence Model for Predicting Human Scanpaths during Reading, 2023, Proceedings of the ACM on Human-Computer Interaction
Improving cognitive-state analysis from eye gaze with synthetic eye-movement data, 2024, Computers & Graphics

Their frequent collaborators include Paul Prasse, Lena A. Jäger, Silvia Makowski, David R. Reich, and Ralf Herwig. These coauthors have contributed multiple joint publications, indicating longstanding research partnerships.

Best Publications

Multi-view clustering

S. Bickel;T. Scheffer

908
Citations
Active Hidden Markov Models for Information Extraction

Tobias Scheffer;Christian Decomain;Stefan Wrobel

633
Citations
Discriminative learning for differing training and test distributions

Steffen Bickel;Michael Brückner;Tobias Scheffer

494
Citations
Unsupervised prediction of citation influences

Laura Dietz;Steffen Bickel;Tobias Scheffer

373
Citations
Discriminative Learning Under Covariate Shift

Steffen Bickel;Michael Brückner;Tobias Scheffer

343
Citations
Stackelberg games for adversarial prediction problems

Michael Brückner;Tobias Scheffer

270
Citations
RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting

Georgy Ayzel;Tobias Scheffer;Maik Heistermann

268
Citations
Knowledge Discovery in Databases: PKDD 2006

Johannes Fürnkranz;Tobias Scheffer;Myra Spiliopoulou

267
Citations
Co-EM support vector learning

Ulf Brefeld;Tobias Scheffer

239
Citations
Finding association rules that trade support optimally against confidence

Tobias Scheffer

226
Citations
Efficient co-regularised least squares regression

Ulf Brefeld;Thomas Gärtner;Tobias Scheffer;Stefan Wrobel

225
Citations
Static prediction games for adversarial learning problems

Michael Brückner;Christian Kanzow;Tobias Scheffer

221
Citations
Multi-task learning for HIV therapy screening

Steffen Bickel;Jasmina Bogojeska;Thomas Lengauer;Tobias Scheffer

203
Citations
{AUC} maximizing support vector learning

U. Brefeld;T. Scheffer

189
Citations
A Nonergodic Ground-Motion Model for California with Spatially Varying Coefficients

Niels Landwehr;Nicolas M. Kuehn;Tobias Scheffer;Norman Abrahamson

153
Citations
Taxonomic metagenome sequence assignment with structured output models

Kaustubh R Patil;Peter Haider;Phillip B Pope;Peter J Turnbaugh

138
Citations
Thwarting the nigritude ultramarine: learning to identify link spam

Isabel Drost;Tobias Scheffer

115
Citations
Dirichlet-Enhanced Spam Filtering based on Biased Samples

Steffen Bickel;Tobias Scheffer

111
Citations
Semi-supervised learning for structured output variables

Ulf Brefeld;Tobias Scheffer

101
Citations
Finding the most interesting patterns in a database quickly by using sequential sampling

Tobias Scheffer;Stefan Wrobel

95
Citations
Proceedings of the 17th European conference on Machine Learning

Johannes Fürnkranz;Tobias Scheffer;Myra Spiliopoulou

18
Citations

Frequent Co-Authors

Stefan Wrobel University of Bonn

Myra Spiliopoulou Otto-von-Guericke University Magdeburg

Johannes Fürnkranz Johannes Kepler University of Linz

Ralf Herbrich Hasso Plattner Institute

Ulf Leser Humboldt-Universität zu Berlin

Thorsten Joachims Cornell University

Isabel Dziobek Humboldt-Universität zu Berlin

Peter J. Turnbaugh University of California, San Francisco

Thomas Lengauer Max Planck Institute for Informatics

Reinhold Kliegl University of Potsdam

External Links

Personal website of Tobias Scheffer Google Scholar page

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