Ophir Gozes

3 papers and 43 indexed citations i.

About

Ophir Gozes is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Ophir Gozes has authored 3 papers receiving a total of 43 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Biomedical Engineering. Recurrent topics in Ophir Gozes’s work include COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ophir Gozes is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Lung Cancer Diagnosis and Treatment (2 papers). Ophir Gozes collaborates with scholars based in Israel. Ophir Gozes's co-authors include Hayit Greenspan and Maayan Frid-Adar and has published in prestigious journals such as IEEE Journal of Biomedical and Health Informatics, arXiv (Cornell University) and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

In The Last Decade

Co-authorship network of co-authors of Ophir Gozes i

Fields of papers citing papers by Ophir Gozes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ophir Gozes

Since Specialization
Citations

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