Katja Hofmann

62 papers and 858 indexed citations i.

About

Katja Hofmann is a scholar working on Artificial Intelligence, Information Systems and Materials Chemistry. According to data from OpenAlex, Katja Hofmann has authored 62 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Information Systems and 9 papers in Materials Chemistry. Recurrent topics in Katja Hofmann’s work include Reinforcement Learning in Robotics (12 papers), Information Retrieval and Search Behavior (10 papers) and Photochemistry and Electron Transfer Studies (8 papers). Katja Hofmann is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Information Retrieval and Search Behavior (10 papers) and Photochemistry and Electron Transfer Studies (8 papers). Katja Hofmann collaborates with scholars based in United Kingdom, United States and The Netherlands. Katja Hofmann's co-authors include Stefan Spange, Maarten de Rijke, Shimon Whiteson, Matthias F. Melzig, Stefan Böttger, Matthew Johnson, David E. Bignell, Tim J. Hutton, Andreas Seifert and Anne Schuth and has published in prestigious journals such as Chemistry of Materials, Langmuir and The Journal of Organic Chemistry.

In The Last Decade

Co-authorship network of co-authors of Katja Hofmann i

Fields of papers citing papers by Katja Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Katja Hofmann

Since Specialization
Citations

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

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2025