Dieter Merkl

34 papers and 698 indexed citations i.

About

Dieter Merkl is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dieter Merkl has authored 34 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Signal Processing. Recurrent topics in Dieter Merkl’s work include Neural Networks and Applications (9 papers), Music and Audio Processing (6 papers) and Advanced Clustering Algorithms Research (4 papers). Dieter Merkl is often cited by papers focused on Neural Networks and Applications (9 papers), Music and Audio Processing (6 papers) and Advanced Clustering Algorithms Research (4 papers). Dieter Merkl collaborates with scholars based in Austria, Australia and Spain. Dieter Merkl's co-authors include Andreas Rauber, Michael Dittenbach, Elias Pampalk, Katharina Krombholz, Edgar Weippl, Hubert Hasenauer, Helmut Berger, Carles Sierra, Anton Bogdanovych and Simeon Simoff and has published in prestigious journals such as Neurocomputing, Lecture notes in computer science and Leonardo.

In The Last Decade

Co-authorship network of co-authors of Dieter Merkl i

Fields of papers citing papers by Dieter Merkl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dieter Merkl

Since Specialization
Citations

This map shows the geographic impact of Dieter Merkl'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 Dieter Merkl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Merkl 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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2025