Ralf Mayrhofer

25 papers and 224 indexed citations i.

About

Ralf Mayrhofer is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, Ralf Mayrhofer has authored 25 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Developmental and Educational Psychology and 5 papers in General Decision Sciences. Recurrent topics in Ralf Mayrhofer’s work include Child and Animal Learning Development (17 papers), Bayesian Modeling and Causal Inference (17 papers) and Cognitive Science and Mapping (5 papers). Ralf Mayrhofer is often cited by papers focused on Child and Animal Learning Development (17 papers), Bayesian Modeling and Causal Inference (17 papers) and Cognitive Science and Mapping (5 papers). Ralf Mayrhofer collaborates with scholars based in Germany, United States and United Kingdom. Ralf Mayrhofer's co-authors include Michael R. Waldmann, Björn Meder, Tobias Gerstenberg, Neil R Bramley, David A. Lagnado, York Hagmayer, Joshua B. Tenenbaum, Noah D. Goodman, Azzurra Ruggeri and Charles Kemp and has published in prestigious journals such as Psychological Review, Cognition and Cognitive Psychology.

In The Last Decade

Co-authorship network of co-authors of Ralf Mayrhofer i

Fields of papers citing papers by Ralf Mayrhofer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ralf Mayrhofer

Since Specialization
Citations

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