Vladimír Pekar

31 papers and 1.2k indexed citations i.

About

Vladimír Pekar is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiation. According to data from OpenAlex, Vladimír Pekar has authored 31 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 14 papers in Biomedical Engineering and 11 papers in Radiation. Recurrent topics in Vladimír Pekar’s work include Medical Image Segmentation Techniques (20 papers), Medical Imaging and Analysis (12 papers) and Advanced Radiotherapy Techniques (11 papers). Vladimír Pekar is often cited by papers focused on Medical Image Segmentation Techniques (20 papers), Medical Imaging and Analysis (12 papers) and Advanced Radiotherapy Techniques (11 papers). Vladimír Pekar collaborates with scholars based in Germany, Finland and Canada. Vladimír Pekar's co-authors include Michael R. Kaus, David A. Jaffray, Todd McNutt, Jürgen Weese, G Sharp, Harini Veeraraghavan, M. Peroni, Karl Fritscher, Jinzhong Yang and Nadya Shusharina and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Vladimír Pekar i

Fields of papers citing papers by Vladimír Pekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Vladimír Pekar

Since Specialization
Citations

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