Neerav Karani

9 papers and 247 indexed citations i.

About

Neerav Karani is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Neerav Karani has authored 9 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Neerav Karani’s work include Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Neerav Karani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced MRI Techniques and Applications (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Neerav Karani collaborates with scholars based in Switzerland and India. Neerav Karani's co-authors include Ender Konukoğlu, Ertunç Erdil, Krishna Chaitanya, Christian F. Baumgartner, Anton S. Becker, Olivio F. Donati, Christine Tanner, Sebastian Kozerke, Philipp Fürnstahl and Kerem Can Tezcan and has published in prestigious journals such as IEEE Transactions on Medical Imaging, SAE technical papers on CD-ROM/SAE technical paper series and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Neerav Karani i

Fields of papers citing papers by Neerav Karani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neerav Karani

Since Specialization
Citations

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