Ariana Familiar

17 papers and 109 indexed citations i.

About

Ariana Familiar is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Neurology. According to data from OpenAlex, Ariana Familiar has authored 17 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Genetics and 4 papers in Neurology. Recurrent topics in Ariana Familiar’s work include Radiomics and Machine Learning in Medical Imaging (12 papers), Glioma Diagnosis and Treatment (7 papers) and Brain Tumor Detection and Classification (4 papers). Ariana Familiar is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Glioma Diagnosis and Treatment (7 papers) and Brain Tumor Detection and Classification (4 papers). Ariana Familiar collaborates with scholars based in United States, Canada and Iran. Ariana Familiar's co-authors include Won Mok Shim, Phillip B. Storm, Anahita Fathi Kazerooni, Ali Nabavizadeh, Adam Resnick, Nastaran Khalili, Christos Davatzikos, Arastoo Vossough, Jeffrey B. Ware and Mateusz Koptyra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neurosurgery and American Journal of Neuroradiology.

In The Last Decade

Co-authorship network of co-authors of Ariana Familiar i

Fields of papers citing papers by Ariana Familiar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ariana Familiar

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025