Mario Sormann

About

Mario Sormann is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Geology. According to data from OpenAlex, Mario Sormann has authored 3 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 1 paper in Aerospace Engineering and 1 paper in Geology. Recurrent topics in Mario Sormann’s work include Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and 3D Surveying and Cultural Heritage (1 paper). Mario Sormann is often cited by papers focused on Advanced Vision and Imaging (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and 3D Surveying and Cultural Heritage (1 paper). Mario Sormann collaborates with scholars based in Austria. Mario Sormann's co-authors include Konrad Karner, Andreas Klaus, Christopher Zach, Roberto Tomasi, Alexander I. Wiechert, Michael Gruber, Bernhard Reitinger and Markus Unger and has published in prestigious journals such as CiteSeer X (The Pennsylvania State University), The international archives of the photogrammetry, remote sensing and spatial information sciences and 2022 26th International Conference on Pattern Recognition (ICPR).

In The Last Decade

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

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Fields of papers citing papers by Mario Sormann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mario Sormann

Since Specialization

Citations

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