R. Mech

9 papers and 343 indexed citations i.

About

R. Mech is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Industrial relations. According to data from OpenAlex, R. Mech has authored 9 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 1 paper in Computational Mechanics and 0 papers in Industrial relations. Recurrent topics in R. Mech’s work include Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Medical Image Segmentation Techniques (3 papers). R. Mech is often cited by papers focused on Advanced Vision and Imaging (7 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Medical Image Segmentation Techniques (3 papers). R. Mech collaborates with scholars based in Germany, Spain and France. R. Mech's co-authors include Julian Stander, Jörn Östermann, A. Aydın Alatan, Levent Onural, Ertem Tuncel, T. Sikora, Ferran Marqués, Beatriz Marcotegui, Renata Lopes Rosa and Paulo Lobato Correia and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Signal Processing and IEEE Transactions on Multimedia.

In The Last Decade

Co-authorship network of co-authors of R. Mech i

Fields of papers citing papers by R. Mech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R. Mech

Since Specialization
Citations

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