Eyal Klang

252 papers and 5.5k indexed citations i.

About

Eyal Klang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Eyal Klang has authored 252 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 58 papers in Radiology, Nuclear Medicine and Imaging and 57 papers in Surgery. Recurrent topics in Eyal Klang’s work include Artificial Intelligence in Healthcare and Education (56 papers), Machine Learning in Healthcare (39 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Eyal Klang is often cited by papers focused on Artificial Intelligence in Healthcare and Education (56 papers), Machine Learning in Healthcare (39 papers) and Radiomics and Machine Learning in Medical Imaging (32 papers). Eyal Klang collaborates with scholars based in Israel, United States and United Kingdom. Eyal Klang's co-authors include Hayit Greenspan, Michal Marianne Amitai, Jacob Goldberger, Shelly Soffer, Maayan Frid-Adar, Yiftach Barash, Idit Diamant, Eli Konen, Vera Sorin and Uri Kopylov and has published in prestigious journals such as The Lancet, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Eyal Klang i

Fields of papers citing papers by Eyal Klang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Eyal Klang

Since Specialization
Citations

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