Matej Gazda

13 papers and 250 indexed citations i.

About

Matej Gazda is a scholar working on Computer Vision and Pattern Recognition, Surgery and Artificial Intelligence. According to data from OpenAlex, Matej Gazda has authored 13 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Surgery and 3 papers in Artificial Intelligence. Recurrent topics in Matej Gazda’s work include Parkinson's Disease Mechanisms and Treatments (2 papers), Medical Image Segmentation Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). Matej Gazda is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (2 papers), Medical Image Segmentation Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). Matej Gazda collaborates with scholars based in Slovakia, United States and Canada. Matej Gazda's co-authors include Peter Drotár, Liberios Vokorokos, Nemuel Daniel Pah, Dinesh Kumar, Mohammod Abdul Motin, Ján Plavka, L. Clifton Stephens, K.K. Ang, Timothy E. Schultheiss and L. J. Peters and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Matej Gazda i

Fields of papers citing papers by Matej Gazda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Matej Gazda

Since Specialization
Citations

This map shows the geographic impact of Matej Gazda'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 Matej Gazda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matej Gazda 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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2025