Andrik Rampun

19 papers and 512 indexed citations i.

About

Andrik Rampun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrik Rampun has authored 19 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrik Rampun’s work include AI in cancer detection (15 papers), Medical Image Segmentation Techniques (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Andrik Rampun is often cited by papers focused on AI in cancer detection (15 papers), Medical Image Segmentation Techniques (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). Andrik Rampun collaborates with scholars based in United Kingdom, China and Spain. Andrik Rampun's co-authors include Reyer Zwiggelaar, Bryan Scotney, Hui Wang, Philip Morrow, Azam Hamidinekoo, Erika Denton, John Winder, Jing Zhong, Peng Shi and Paul Malcolm and has published in prestigious journals such as Physics in Medicine and Biology, Medical Physics and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Andrik Rampun i

Fields of papers citing papers by Andrik Rampun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrik Rampun

Since Specialization
Citations

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