Neerav Karani

9 papers and 219 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 219 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), Domain Adaptation and Few-Shot Learning (3 papers) and Medical Imaging Techniques and Applications (3 papers). Neerav Karani is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Medical Imaging Techniques and Applications (3 papers). Neerav Karani collaborates with scholars based in Switzerland and India. Neerav Karani's co-authors include Ender Konukoğlu, Krishna Chaitanya, Ertunç Erdil, Christian F. Baumgartner and Christine Tanner 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

Fields of papers citing papers by Neerav Karani

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Neerav Karani. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025