Klaus-Robert Müller

994 total citations
29 papers, 504 citations indexed

About

Klaus-Robert Müller is a scholar working on Artificial Intelligence, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Klaus-Robert Müller has authored 29 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Materials Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Klaus-Robert Müller's work include Machine Learning in Materials Science (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Klaus-Robert Müller is often cited by papers focused on Machine Learning in Materials Science (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Klaus-Robert Müller collaborates with scholars based in Germany, South Korea and United States. Klaus-Robert Müller's co-authors include J. Haußelt, R. Ruprecht, Volker Piotter, Grégoire Montavon, Oliver Eberle, Jonas Lederer, Kristof T. Schütt, Shinichi Nakajima, K. Plewa and Sherry A. Mueller and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Klaus-Robert Müller

23 papers receiving 498 citations

Peers

Countries citing papers authored by Klaus-Robert Müller

Since Specialization

Citations

This map shows the geographic impact of Klaus-Robert Müller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Klaus-Robert Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus-Robert Müller more than expected).

Fields of papers citing papers by Klaus-Robert Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Klaus-Robert Müller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Klaus-Robert Müller. The network helps show where Klaus-Robert Müller may publish in the future.

Co-authorship network of co-authors of Klaus-Robert Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus-Robert Müller. A scholar is included among the top collaborators of Klaus-Robert Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Klaus-Robert Müller. Klaus-Robert Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Explainable AI reveals Clever Hans effects in unsupervised learning models 2025 ·Nature Machine Intelligence ·(unknown), (unknown), Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon	2
2	Neural interaction explainable AI predicts drug response across cancers 2025 ·NAR Cancer ·(unknown), Julius Keyl, Andreas Möck, (unknown), Liliana H. Mochmann, (unknown), Philipp Jurmeister, Michael Bockmayr, (unknown), Grégoire Montavon, Klaus-Robert Müller, Frederick Klauschen	0
3	The QCML dataset, Quantum chemistry reference data from 33.5M DFT and 14.7B semi-empirical calculations 2025 ·Scientific Data ·Stefan Ganscha, Oliver T. Unke, (unknown), (unknown), Sergii Kashubin, Klaus-Robert Müller	11
4	The utility of explainable AI for MRI analysis: Relating model predictions to neuroimaging features of the aging brain 2025 ·Imaging Neuroscience ·S. Hofmann, (unknown), Nico Scherf, Klaus-Robert Müller, Markus Loeffler, Arno Villringer, Michael Gaebler, A. Veronica Witte, Frauke Beyer	0
5	Molecular Simulations with a Pretrained Neural Network and Universal Pairwise Force Fields 2025 ·Journal of the American Chemical Society ·Adil Kabylda, (unknown), (unknown), (unknown), Leonardo Medrano Sandonas, Oliver T. Unke, Stefan Chmiela, Klaus-Robert Müller, Alexandre Tkatchenko	13
6	Deep Learning From Diffuse Optical Oximetry Time-Series: An fNIRS-Focused Review of Recent Advancements and Future Directions 2025 ·IEEE Reviews in Biomedical Engineering ·Theekshana Dissanayake, Klaus-Robert Müller, Alexander von Lühmann	0
7	Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction 2025 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), (unknown), (unknown), (unknown), Philip S. Yu, Klaus-Robert Müller, Jürgen Kurths, Frank Hellmann	0
8	Data augmentation for forecasting industrial aging processes via conditional multimodal generative time-series models 2025 ·Computers & Chemical Engineering ·Mihail Bogojeski, (unknown), Sasho Nedelkoski, Shinichi Nakajima, Klaus-Robert Müller	0
9	Enhancing Brain Source Reconstruction by Initializing 3-D Neural Networks With Physical Inverse Solutions 2025 ·IEEE Transactions on Medical Imaging ·(unknown), Ali Hashemi, Klaus-Robert Müller, Stefan Haufe, Shinichi Nakajima	0
10	Peering inside the black box by learning the relevance of many-body functions in neural network potentials 2025 ·Nature Communications ·(unknown), Jonas Lederer, (unknown), (unknown), (unknown), Klaus-Robert Müller, Cecilia Clementi	1
11	AI-Based Anomaly Detection for Clinical-Grade Histopathological Diagnostics 2024 ·NEJM AI ·(unknown), (unknown), (unknown), (unknown), (unknown), Simon Schallenberg, Marius Kloft, (unknown), David Horst, (unknown), Lukas Ruff, Klaus-Robert Müller, Frederick Klauschen	4
12	Complete and Efficient Covariants for Three-Dimensional Point Configurations with Application to Learning Molecular Quantum Properties 2024 ·The Journal of Physical Chemistry Letters ·(unknown), Oliver T. Unke, Klaus-Robert Müller	1
13	429P Brain imaging screening (BIS) in metastatic breast cancer (MBC): Patients’ and physicians’ perspectives 2024 ·Annals of Oncology ·(unknown), Mette S. van Ramshorst, Klaus-Robert Müller, Elisa Agostinetto, Sabine C. Linn, (unknown), (unknown), (unknown), (unknown), Carmen Criscitiello, (unknown), Gilberto Morgan, S Brücker, (unknown), Renate Haidinger, (unknown), (unknown), Francesco Schettini, (unknown)	1
14	Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables 2024 ·Science Advances ·Oliver Eberle, (unknown), (unknown), Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani	3
15	68MO Generalization of a deep learning model for HER2 status predictions on H&E-stained whole slide images derived from 3 neoadjuvant clinical studies 2022 ·Annals of Oncology ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Marion van Mackelenbergh, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Klaus-Robert Müller, (unknown), (unknown), (unknown), (unknown)	1
16	Higher-Order Explanations of Graph Neural Networks via Relevant Walks 2021 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon	155
17	Immediate brain plasticity after one hour of brain–computer interface (BCI) 2019 ·The Journal of Physiology ·Till Nierhaus, Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller, Arno Villringer	50
18	Microstructure and mechanical properties of the extruded Mg-alloys AZ31, AZ61, AZ80 2006 ·International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) ·(unknown), Klaus-Robert Müller, Tao Huang, W. Reimers	23
19	Performance and simulation of thermoplastic micro injection molding 2002 ·Microsystem Technologies ·Volker Piotter, Klaus-Robert Müller, K. Plewa, R. Ruprecht, J. Haußelt	112
20	Innovative design by integration of expert system technology with multi-criteria decision making and fuzzy systems 1994 ·IIASA PURE (International Institute of Applied Systems Analysis) ·(unknown), Klaus-Robert Müller, (unknown), (unknown)	3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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