Matthäus Kleindeßner

13 papers and 95 indexed citations i.

About

Matthäus Kleindeßner is a scholar working on Artificial Intelligence, Safety Research and Statistics and Probability. According to data from OpenAlex, Matthäus Kleindeßner has authored 13 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Safety Research and 3 papers in Statistics and Probability. Recurrent topics in Matthäus Kleindeßner’s work include Ethics and Social Impacts of AI (4 papers), Neural Networks and Applications (3 papers) and Advanced Statistical Methods and Models (2 papers). Matthäus Kleindeßner is often cited by papers focused on Ethics and Social Impacts of AI (4 papers), Neural Networks and Applications (3 papers) and Advanced Statistical Methods and Models (2 papers). Matthäus Kleindeßner collaborates with scholars based in United States, Germany and The Netherlands. Matthäus Kleindeßner's co-authors include Ulrike von Luxburg, Pranjal Awasthi, Jamie Morgenstern, Xuezhi Wang, Alex Beutel, Chris Russell, Pei Guo, Jianwu Wang, Yiyi Huang and Guha Balakrishnan and has published in prestigious journals such as Journal of Machine Learning Research, Frontiers in Big Data and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Matthäus Kleindeßner i

Fields of papers citing papers by Matthäus Kleindeßner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matthäus Kleindeßner

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025