Eva Mayr

31 papers and 327 indexed citations i.

About

Eva Mayr is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Eva Mayr has authored 31 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 7 papers in Experimental and Cognitive Psychology and 6 papers in Artificial Intelligence. Recurrent topics in Eva Mayr’s work include Data Visualization and Analytics (16 papers), Video Analysis and Summarization (7 papers) and Museums and Cultural Heritage (6 papers). Eva Mayr is often cited by papers focused on Data Visualization and Analytics (16 papers), Video Analysis and Summarization (7 papers) and Museums and Cultural Heritage (6 papers). Eva Mayr collaborates with scholars based in Austria, Germany and Switzerland. Eva Mayr's co-authors include Florian Windhager, Silvia Miksch, Günther Schreder, Ulrike Sirsch, Ulrike Willinger, Marian Dörk, Paolo Federico, Margit Pohl, Hanna Risku and Daniel Wessel and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Educational Research Review and IEEE Computer Graphics and Applications.

In The Last Decade

Co-authorship network of co-authors of Eva Mayr i

Fields of papers citing papers by Eva Mayr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eva Mayr

Since Specialization
Citations

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