Rosa Babaei

15 total papers · 537 total citations
10 papers, 202 citations indexed

About

Rosa Babaei is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Rosa Babaei has authored 10 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Biomedical Engineering. Recurrent topics in Rosa Babaei's work include COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Rosa Babaei is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Rosa Babaei collaborates with scholars based in Iran, United States and Italy. Rosa Babaei's co-authors include Mannudeep K. Kalra, Subba R. Digumarthy, Fatemeh Homayounieh, Hadi Karimi Mobin, Éric Zhang, Chiara D. Arru, Mehrak Javadi‐Paydar, Ahmad Reza Dehpour, Bernardo C. Bizzo and Shadi Ebrahimian and has published in prestigious journals such as PLoS ONE, Behavioural Brain Research and Pharmacology Biochemistry and Behavior.

In The Last Decade

Rosa Babaei

10 papers receiving 198 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rosa Babaei	129	38	35	28	27	10	202
Łukasz Michałowski	103 0.8×	30 0.8×	11 0.3×	12 0.4×	18 0.7×	11	291
Xiaowu Liu	78 0.6×	13 0.3×	11 0.3×	52 1.9×	7 0.3×	8	184
Fayzan Chaudhry	34 0.3×	45 1.2×	9 0.3×	26 0.9×	6 0.2×	10	272
Fridtjof Schiefenhövel	14 0.1×	26 0.7×	8 0.2×	15 0.5×	16 0.6×	11	269
Xiang‐He Meng	74 0.6×	15 0.4×	6 0.2×	8 0.3×	34 1.3×	18	209
Cheng Jiang	18 0.1×	23 0.6×	9 0.3×	30 1.1×	9 0.3×	17	243
Jee Seok Yoon	107 0.8×	27 0.7×	2 0.1×	53 1.9×	11 0.4×	15	275
Tzu-Ming Harry Hsu	50 0.4×	29 0.8×	7 0.2×	9 0.3×	18 0.7×	10	160
A Sörensen	81 0.6×	17 0.4×	2 0.1×	26 0.9×	14 0.5×	14	230
Nikolaos Tzoumas	82 0.6×	6 0.2×	6 0.2×	17 0.6×	4 0.1×	15	281

Countries citing papers authored by Rosa Babaei

Since Specialization

Citations

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

Fields of papers citing papers by Rosa Babaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Babaei

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Babaei. A scholar is included among the top collaborators of Rosa Babaei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosa Babaei. Rosa Babaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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