Mario Döller

19 papers and 103 indexed citations i.

About

Mario Döller is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Mario Döller has authored 19 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 6 papers in Signal Processing and 4 papers in Artificial Intelligence. Recurrent topics in Mario Döller’s work include Video Analysis and Summarization (5 papers), Music and Audio Processing (5 papers) and Image Retrieval and Classification Techniques (4 papers). Mario Döller is often cited by papers focused on Video Analysis and Summarization (5 papers), Music and Audio Processing (5 papers) and Image Retrieval and Classification Techniques (4 papers). Mario Döller collaborates with scholars based in Germany, Austria and France. Mario Döller's co-authors include Harald Kosch, Matthias Zeppelzauer, László Böszörményi, Kyoungro Yoon, Masanori Sano, Lee Burnett, Rubén Tous, John R. Smith, Peter Schelkens and Marco Anisetti and has published in prestigious journals such as Energy and Buildings, Journal of Systems and Software and Multimedia Tools and Applications.

In The Last Decade

Co-authorship network of co-authors of Mario Döller i

Fields of papers citing papers by Mario Döller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Döller

Since Specialization
Citations

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