Leann Thayaparan

4 papers and 37 indexed citations i.

About

Leann Thayaparan is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Modeling and Simulation. According to data from OpenAlex, Leann Thayaparan has authored 4 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Modeling and Simulation. Recurrent topics in Leann Thayaparan’s work include COVID-19 diagnosis using AI (3 papers), COVID-19 epidemiological studies (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Leann Thayaparan is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), COVID-19 epidemiological studies (3 papers) and Anomaly Detection Techniques and Applications (2 papers). Leann Thayaparan collaborates with scholars based in United States. Leann Thayaparan's co-authors include Georgia Perakis, Divya Singhvi, Omar Skali Lami, Asterios Tsiourvas, David Nze Ndong and Joshua Joseph and has published in prestigious journals such as Mathematical Programming, Production and Operations Management and Manufacturing & Service Operations Management.

In The Last Decade

Co-authorship network of co-authors of Leann Thayaparan i

Fields of papers citing papers by Leann Thayaparan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leann Thayaparan

Since Specialization
Citations

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