Beate Grawemeyer

11 papers and 234 indexed citations i.

About

Beate Grawemeyer is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Beate Grawemeyer has authored 11 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Developmental and Educational Psychology and 4 papers in Computer Science Applications. Recurrent topics in Beate Grawemeyer’s work include Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Online Learning and Analytics (4 papers). Beate Grawemeyer is often cited by papers focused on Innovative Teaching and Learning Methods (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers) and Online Learning and Analytics (4 papers). Beate Grawemeyer collaborates with scholars based in United Kingdom, Germany and The Netherlands. Beate Grawemeyer's co-authors include Hilary Johnson, Mark Brosnan, Laura Benton, Emma Ashwin, Geoffrey B. Duggan, Manolis Mavrikis, Sergio Gutiérrez-Santos, W. Holmes, Nikol Rummel and Michael Wiedmann and has published in prestigious journals such as International Journal of Human-Computer Studies, Autism and Interacting with Computers.

In The Last Decade

Co-authorship network of co-authors of Beate Grawemeyer i

Fields of papers citing papers by Beate Grawemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Beate Grawemeyer

Since Specialization
Citations

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