Grae Arabasz

9 papers and 552 indexed citations i.

About

Grae Arabasz is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Anesthesiology and Pain Medicine. According to data from OpenAlex, Grae Arabasz has authored 9 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Grae Arabasz’s work include Medical Imaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Grae Arabasz is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Advanced MRI Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Grae Arabasz collaborates with scholars based in United States, Germany and South Korea. Grae Arabasz's co-authors include Ciprian Catana, Daniel B. Chonde, Jacob M. Hooker, Oluwaseun Akeju, Marco L. Loggia, David Izquierdo‐Garcia, Vitaly Napadow, Bruce R. Rosen, Misha M. Riley and Nicole R. Zürcher and has published in prestigious journals such as Brain, International Journal of Radiation Oncology*Biology*Physics and eLife.

In The Last Decade

Co-authorship network of co-authors of Grae Arabasz i

Fields of papers citing papers by Grae Arabasz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Grae Arabasz

Since Specialization
Citations

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