Jacqueline Thiesse

About

Jacqueline Thiesse is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Jacqueline Thiesse has authored 17 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Artificial Intelligence. Recurrent topics in Jacqueline Thiesse’s work include Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Medical Imaging Techniques and Applications (4 papers). Jacqueline Thiesse is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (5 papers) and Medical Imaging Techniques and Applications (4 papers). Jacqueline Thiesse collaborates with scholars based in United States and Australia. Jacqueline Thiesse's co-authors include Geoffrey McLennan, Eman Namati, Eric A. Hoffman, Jessica C. Sieren, Alan Ross, Joseph M. Reinhardt, Amanda R. Smith, Abigail R. Smith, Jamie A. Weydert and Joel N. Kline and has published in prestigious journals such as Journal of Applied Physiology, Clinical Pharmacology & Therapeutics and Physics in Medicine and Biology.

In The Last Decade

Co-authorship network of co-authors of Jacqueline Thiesse i

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Fields of papers citing papers by Jacqueline Thiesse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacqueline Thiesse

Since Specialization

Citations

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