Subbaram Naidu

5 papers and 75 indexed citations i.

About

Subbaram Naidu is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics. According to data from OpenAlex, Subbaram Naidu has authored 5 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Artificial Intelligence and 2 papers in Health Informatics. Recurrent topics in Subbaram Naidu’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Subbaram Naidu is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Subbaram Naidu collaborates with scholars based in Italy, India and United States. Subbaram Naidu's co-authors include Jasjit S. Suri, Luca Saba, Alessandro Carriero, Manudeep Kalra and Sudip Paul and has published in prestigious journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Medical Systems and Multimedia Tools and Applications.

In The Last Decade

Fields of papers citing papers by Subbaram Naidu

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 Subbaram Naidu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Subbaram Naidu may publish in the future.

Countries citing papers authored by Subbaram Naidu

Since Specialization
Citations

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

Rankless by CCL
2025