Akhil Vaid

37 papers and 821 indexed citations i.

About

Akhil Vaid is a scholar working on Cardiology and Cardiovascular Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Akhil Vaid has authored 37 papers receiving a total of 821 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 9 papers in Artificial Intelligence and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Akhil Vaid’s work include ECG Monitoring and Analysis (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Machine Learning in Healthcare (8 papers). Akhil Vaid is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Cardiovascular Function and Risk Factors (8 papers) and Machine Learning in Healthcare (8 papers). Akhil Vaid collaborates with scholars based in United States, Germany and Israel. Akhil Vaid's co-authors include Girish N. Nadkarni, B. Keith Jenkins, Rama Chellappa, Benjamin S. Glicksberg, Alexander W. Charney, Eyal Klang, Edgar Argulian, Jagat Narula, Sulaiman Somani and Vera Sorin and has published in prestigious journals such as Circulation, Nature Medicine and Annals of Internal Medicine.

In The Last Decade

Co-authorship network of co-authors of Akhil Vaid i

Fields of papers citing papers by Akhil Vaid

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

Countries citing papers authored by Akhil Vaid

Since Specialization
Citations

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

Rankless by CCL
2025