Daniel Macher

18 papers and 914 indexed citations i.

About

Daniel Macher is a scholar working on Education, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, Daniel Macher has authored 18 papers receiving a total of 914 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Education, 6 papers in Experimental and Cognitive Psychology and 6 papers in Statistics and Probability. Recurrent topics in Daniel Macher’s work include Statistics Education and Methodologies (5 papers), School Choice and Performance (4 papers) and Education, Achievement, and Giftedness (4 papers). Daniel Macher is often cited by papers focused on Statistics Education and Methodologies (5 papers), School Choice and Performance (4 papers) and Education, Achievement, and Giftedness (4 papers). Daniel Macher collaborates with scholars based in Austria, United Kingdom and United States. Daniel Macher's co-authors include Manuela Paechter, Brigitte Maier, Ilona Papousek, Kai Ruggeri, H. Harald Freudenthaler, Khatuna Martskvishvili, Sigrid Wimmer, Martin Arendasy, Elisabeth M. Weiss and Silke Luttenberger and has published in prestigious journals such as Sensors, Computers & Education and Frontiers in Psychology.

In The Last Decade

Co-authorship network of co-authors of Daniel Macher i

Fields of papers citing papers by Daniel Macher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Macher

Since Specialization
Citations

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