Maayan Frid-Adar

4 papers and 1.4k indexed citations i.

About

Maayan Frid-Adar is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Maayan Frid-Adar has authored 4 papers receiving a total of 1.4k 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 1 paper in Epidemiology. Recurrent topics in Maayan Frid-Adar’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Maayan Frid-Adar is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and AI in cancer detection (2 papers). Maayan Frid-Adar collaborates with scholars based in Israel. Maayan Frid-Adar's co-authors include Hayit Greenspan, Eyal Klang, Jacob Goldberger, Idit Diamant, Michal Marianne Amitai, Michal Amitai and Ophir Gozes and has published in prestigious journals such as Neurocomputing, IEEE Journal of Biomedical and Health Informatics and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

In The Last Decade

Co-authorship network of co-authors of Maayan Frid-Adar i

Fields of papers citing papers by Maayan Frid-Adar

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

Countries citing papers authored by Maayan Frid-Adar

Since Specialization
Citations

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

Rankless by CCL
2025