Tina Kapur

72 papers and 2.2k indexed citations i.

About

Tina Kapur is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tina Kapur has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Computer Vision and Pattern Recognition and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tina Kapur’s work include Medical Image Segmentation Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Radiotherapy Techniques (13 papers). Tina Kapur is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Advanced Radiotherapy Techniques (13 papers). Tina Kapur collaborates with scholars based in United States, Germany and Canada. Tina Kapur's co-authors include William M. Wells, Clare M. Tempany, Jan Egger, Alexandra J. Golby, Alireza Mehrtash, Christopher Nimsky, Steve Pieper, Ron Kikinis, Purang Abolmaesumi and Lilla Zöllei and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Tina Kapur i

Fields of papers citing papers by Tina Kapur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tina Kapur

Since Specialization
Citations

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