Sheila Timp

8 papers and 316 indexed citations i.

About

Sheila Timp is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheila Timp has authored 8 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Oncology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheila Timp’s work include AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sheila Timp is often cited by papers focused on AI in cancer detection (8 papers), Colorectal Cancer Screening and Detection (4 papers) and Image Retrieval and Classification Techniques (3 papers). Sheila Timp collaborates with scholars based in The Netherlands, United States and Spain. Sheila Timp's co-authors include Nico Karssemeijer, Celia Varela, Saskia van Engeland and Peter R. Snoeren and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Sheila Timp i

Fields of papers citing papers by Sheila Timp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sheila Timp

Since Specialization
Citations

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