Gábor Székely

173 papers and 4.6k indexed citations i.

About

Gábor Székely is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Gábor Székely has authored 173 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 47 papers in Surgery and 47 papers in Biomedical Engineering. Recurrent topics in Gábor Székely’s work include Medical Image Segmentation Techniques (31 papers), Medical Imaging Techniques and Applications (17 papers) and Surgical Simulation and Training (17 papers). Gábor Székely is often cited by papers focused on Medical Image Segmentation Techniques (31 papers), Medical Imaging Techniques and Applications (17 papers) and Surgical Simulation and Training (17 papers). Gábor Székely collaborates with scholars based in Switzerland, Hungary and United States. Gábor Székely's co-authors include Philippe C. Cattin, Matthias Harders, Martin von Siebenthal, Michael Bajka, Antony Lomax, Dimitris Metaxas, Gábor Fichtinger, Leon Axel, Rémi Blanc and Guido Gerig and has published in prestigious journals such as Nature Communications, NeuroImage and Journal of Bone and Joint Surgery.

In The Last Decade

Co-authorship network of co-authors of Gábor Székely i

Fields of papers citing papers by Gábor Székely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gábor Székely

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025