Martin Seneviratne

25 papers and 583 indexed citations i.

About

Martin Seneviratne is a scholar working on Artificial Intelligence, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Martin Seneviratne has authored 25 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Molecular Biology and 6 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Martin Seneviratne’s work include Machine Learning in Healthcare (12 papers), Biomedical Text Mining and Ontologies (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Martin Seneviratne is often cited by papers focused on Machine Learning in Healthcare (12 papers), Biomedical Text Mining and Ontologies (5 papers) and Artificial Intelligence in Healthcare and Education (3 papers). Martin Seneviratne collaborates with scholars based in United States, Australia and United Kingdom. Martin Seneviratne's co-authors include Tina Hernandez‐Boussard, Nigam H. Shah, Juan M. Banda, Larry F. Chu, James D. Brooks, Tina Seto, M. Jimenez, Charles M. Allan, Aisling C. McMahon and Kirsty A. Walters and has published in prestigious journals such as Cancer, Endocrinology and The American Journal of Medicine.

In The Last Decade

Co-authorship network of co-authors of Martin Seneviratne i

Fields of papers citing papers by Martin Seneviratne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Martin Seneviratne

Since Specialization
Citations

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