Markus Hagenbuchner

45 papers and 4.7k indexed citations i.

About

Markus Hagenbuchner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Markus Hagenbuchner has authored 45 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 20 papers in Computer Vision and Pattern Recognition and 10 papers in Information Systems. Recurrent topics in Markus Hagenbuchner’s work include Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (8 papers) and Face and Expression Recognition (7 papers). Markus Hagenbuchner is often cited by papers focused on Neural Networks and Applications (19 papers), Advanced Graph Neural Networks (8 papers) and Face and Expression Recognition (7 papers). Markus Hagenbuchner collaborates with scholars based in Australia, Italy and Hong Kong. Markus Hagenbuchner's co-authors include Ah Chung Tsoi, Franco Scarselli, M. Gori, Gabriele Monfardini, Alessandro Sperduti, Nagesh Shukla, Jie Yang, Khin Than Win, Dylan P. Cliff and Stewart G. Trost and has published in prestigious journals such as Medicine & Science in Sports & Exercise, Medical Physics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Markus Hagenbuchner i

Fields of papers citing papers by Markus Hagenbuchner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Hagenbuchner

Since Specialization
Citations

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