Akila Kumarasiri

25 papers and 355 indexed citations i.

About

Akila Kumarasiri is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Akila Kumarasiri has authored 25 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiation, 14 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Biomedical Engineering. Recurrent topics in Akila Kumarasiri’s work include Advanced Radiotherapy Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Imaging Techniques and Applications (7 papers). Akila Kumarasiri is often cited by papers focused on Advanced Radiotherapy Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Medical Imaging Techniques and Applications (7 papers). Akila Kumarasiri collaborates with scholars based in United States, India and Brazil. Akila Kumarasiri's co-authors include G. Lawes, Indrin J. Chetty, Farzan Siddiqui, Jinkoo Kim, Hualiang Zhong, Chang Liu, Ning Wen, Raphael Yechieli, Mira Shah and Deepak Pradhan and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of Akila Kumarasiri i

Fields of papers citing papers by Akila Kumarasiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akila Kumarasiri

Since Specialization
Citations

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