10931_citations--13-.jpg

Mathias Niepert

Efficient And Controllable Generative AI Geometric And Physics-Aware Deep Learning Probabilistic Graphical Models Computational Chemistry Applications Fluid Dynamics Simulation
University of Stuttgart Department of Computer Science

About

Mathias Niepert is a professor (W3) at the University of Stuttgart, an ELLIS fellow, and a faculty member at the International Max Planck Research School for Intelligent Systems (IMPRS-IS). He leads the Machine Learning and Simulation Lab (MLS Lab), with affiliations to the AI Institute within the Department of Computer Science, the Stuttgart Center for Simulation Science (SC SimTech), and the ELLIS unit Stuttgart. In addition to his academic roles, he serves as Chief Scientific Advisor at NEC Laboratories Europe, where he previously held positions as Chief Research Scientist and Manager of the Machine Learning Group. Before joining NEC Labs, Mathias was a postdoctoral researcher at the Paul G. Allen School of Computer Science at the University of Washington, Seattle. He received his Ph.D. in Computer Science and Scientific Computing from Indiana University, USA. His research focuses on efficient and controllable generative AI, geometric and physics-aware deep learning, probabilistic graphical models, and the intersection of machine learning, the natural sciences, and engineering. His group develops methods for learning and leveraging physical and geometric structure, with applications spanning computational chemistry, fluid dynamics, and biomedical research. His work is regularly published in top-tier conferences such as NeurIPS, ICML, ICLR, AAAI, and UAI, and has received several best paper awards. Mathias is also a recipient of the Google Faculty Research Award and serves as Area Chair for leading conferences, including NeurIPS, ICML, and ICLR.

Research Performance Summary

168
Total Papers
10017
Total Citations
42
H-Index
2007-2026
Active Research Span

First Recorded Paper

A dynamic ontology for a dynamic reference work

Year: 2007

Citations: 65

Venue: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries

Latest Recorded Paper

GraIP: A Benchmarking Framework For Neural Graph Inverse Problems

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2601.18917

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
8
2025
21
2024
15
2023
12
2022
11
2021
15
2020
8
2019
11
2018
14
2017
5
2016
2

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 64
Journal 8
Book 2

Top Coauthors

Niepert Nguyen

Research Impact by Period

2025-2026

Period Stats
Papers 29
Citations 217
Avg. Citations / Paper 7.5
H-Index 6

2020-2024

Period Stats
Papers 61
Citations 2001
Avg. Citations / Paper 32.8
H-Index 22

2015-2019

Period Stats
Papers 35
Citations 5749
Avg. Citations / Paper 164.3
H-Index 17

2010-2014

Period Stats
Papers 38
Citations 1942
Avg. Citations / Paper 51.1
H-Index 22

2005-2009

Period Stats
Papers 5
Citations 108
Avg. Citations / Paper 21.6
H-Index 4

Contact and Professional Links

Contact Information

mathias.niepert@ki.uni-stuttgart.de

Detected Research Keywords

Knowledge Graph Completion Graph Neural Networks Recurrent Neural Networks Knowledge Discovery Data Discovery Data Mining Data Mining Meets Mining Meets Linked Answering Complex Queries Complex Queries Knowledge Queries Knowledge Graphs