András Rövid

32 papers and 149 indexed citations i.

About

András Rövid is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Automotive Engineering. According to data from OpenAlex, András Rövid has authored 32 papers receiving a total of 149 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 7 papers in Mechanical Engineering and 7 papers in Automotive Engineering. Recurrent topics in András Rövid’s work include Image Enhancement Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Color Science and Applications (5 papers). András Rövid is often cited by papers focused on Image Enhancement Techniques (7 papers), Advanced Vision and Imaging (6 papers) and Color Science and Applications (5 papers). András Rövid collaborates with scholars based in Hungary, Japan and Argentina. András Rövid's co-authors include Annamária R. Várkonyi-Kóczy, Takeshi Hashimoto, Péter Várlaki, Zsolt Szalay, István Harmati, László Szeidl, Balázs Varga, M.G. Ruano, Viktor Tihanyi and László Palkovics and has published in prestigious journals such as IEEE Access, Fuzzy Sets and Systems and Energies.

In The Last Decade

Co-authorship network of co-authors of András Rövid i

Fields of papers citing papers by András Rövid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by András Rövid

Since Specialization
Citations

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