Uday Kurkure

6 papers and 62 indexed citations i.

About

Uday Kurkure is a scholar working on Artificial Intelligence, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Uday Kurkure has authored 6 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Oncology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Uday Kurkure’s work include Medical Image Segmentation Techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and AI in cancer detection (2 papers). Uday Kurkure is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and AI in cancer detection (2 papers). Uday Kurkure collaborates with scholars based in United States, Italy and United Kingdom. Uday Kurkure's co-authors include Ioannis A. Kakadiaris, Ryo Nakazato, Anindya Sarkar, Daniel S. Berman, Damini Dey, Rachel Redman, Benjamin C. Calhoun, Lee Cooper, Mohamed Amgad and Michael Barnes and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Journal of Biomedical and Health Informatics and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Uday Kurkure i

Fields of papers citing papers by Uday Kurkure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uday Kurkure

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025