York Hagmayer

69 papers and 1.2k indexed citations i.

About

York Hagmayer is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and General Decision Sciences. According to data from OpenAlex, York Hagmayer has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 30 papers in Developmental and Educational Psychology and 13 papers in General Decision Sciences. Recurrent topics in York Hagmayer’s work include Child and Animal Learning Development (26 papers), Bayesian Modeling and Causal Inference (25 papers) and Cognitive Science and Mapping (19 papers). York Hagmayer is often cited by papers focused on Child and Animal Learning Development (26 papers), Bayesian Modeling and Causal Inference (25 papers) and Cognitive Science and Mapping (19 papers). York Hagmayer collaborates with scholars based in Germany, United States and United Kingdom. York Hagmayer's co-authors include Michael R. Waldmann, Steven A. Sloman, Björn Meder, Aaron P. Blaisdell, Marie Juanchich, Miroslav Sirota, Philip M. Fernbach, T. Geisel, Mandeep K. Dhami and Holger Hennig and has published in prestigious journals such as PLoS ONE, Trends in Cognitive Sciences and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of York Hagmayer i

Fields of papers citing papers by York Hagmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by York Hagmayer

Since Specialization
Citations

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