Timo Freiesleben

532 total citations
5 papers, 89 citations indexed

About

Timo Freiesleben is a scholar working on Artificial Intelligence, Molecular Biology and General Health Professions. According to data from OpenAlex, Timo Freiesleben has authored 5 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in General Health Professions. Recurrent topics in Timo Freiesleben's work include Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Machine Learning and Data Classification (2 papers). Timo Freiesleben is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Explainable Artificial Intelligence (XAI) (3 papers) and Machine Learning and Data Classification (2 papers). Timo Freiesleben collaborates with scholars based in Germany and Austria. Timo Freiesleben's co-authors include Thomas Grote, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero, Moritz Grosse‐Wentrup and Philipp Berens and has published in prestigious journals such as Nature Machine Intelligence, Synthese and Minds and Machines.

In The Last Decade

Timo Freiesleben

4 papers receiving 88 citations

Peers

Timo Freiesleben
Isaac Lage United States
Sami Mourad United States
Snehal Prabhudesai United States
Sanmi Koyejo United States
Rohan Taori United States
Ninareh Mehrabi United States
Ayesha Bajwa Hong Kong
Lameck Mbangula Amugongo Germany
Sandhini Agarwal
Francis Song United States
Isaac Lage United States
Timo Freiesleben
Citations per year, relative to Timo Freiesleben Timo Freiesleben (= 1×) peers Isaac Lage

Countries citing papers authored by Timo Freiesleben

Since Specialization
Citations

This map shows the geographic impact of Timo Freiesleben'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 Timo Freiesleben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Freiesleben more than expected).

Fields of papers citing papers by Timo Freiesleben

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo Freiesleben. 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 Timo Freiesleben. The network helps show where Timo Freiesleben may publish in the future.

Co-authorship network of co-authors of Timo Freiesleben

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Freiesleben. A scholar is included among the top collaborators of Timo Freiesleben 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 Timo Freiesleben. Timo Freiesleben is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Grote, Thomas, Timo Freiesleben, & Philipp Berens. (2024). Foundation models in healthcare require rethinking reliability. Nature Machine Intelligence. 6(12). 1421–1423.
2.
Freiesleben, Timo, Gunnar König, Christoph Molnar, & Álvaro Tejero-Cantero. (2024). Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. Minds and Machines. 34(3). 9 indexed citations
3.
Freiesleben, Timo & Thomas Grote. (2023). Beyond generalization: a theory of robustness in machine learning. Synthese. 202(4). 45 indexed citations
4.
König, Gunnar, Timo Freiesleben, & Moritz Grosse‐Wentrup. (2023). Improvement-Focused Causal Recourse (ICR). Proceedings of the AAAI Conference on Artificial Intelligence. 37(10). 11847–11855. 4 indexed citations
5.
Freiesleben, Timo. (2020). The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples. arXiv (Cornell University). 31 indexed citations

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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2026