Rosa Babaei

539 total citations
10 papers, 204 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 204 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 Fatemeh Homayounieh, Hadi Karimi Mobin, Subba R. Digumarthy, Mannudeep K. Kalra, Éric Zhang, Chiara D. Arru, Shadi Ebrahimian, Ahmad Reza Dehpour, Mehrak Javadi‐Paydar and Bernardo C. Bizzo 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 200 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rosa Babaei Iran 8 131 39 35 28 27 10 204
Łukasz Michałowski Poland 7 105 0.8× 31 0.8× 11 0.3× 12 0.4× 18 0.7× 11 295
Jae Hyung Cho United States 9 74 0.6× 31 0.8× 28 0.8× 19 0.7× 7 0.3× 19 403
Xiaowu Liu China 6 78 0.6× 13 0.3× 11 0.3× 52 1.9× 7 0.3× 8 186
Fayzan Chaudhry United States 8 35 0.3× 47 1.2× 9 0.3× 27 1.0× 6 0.2× 10 280
Yujiro Otsuka Japan 11 202 1.5× 45 1.2× 4 0.1× 37 1.3× 6 0.2× 22 335
Shumei Miao China 9 48 0.4× 28 0.7× 6 0.2× 14 0.5× 14 0.5× 23 274
Fridtjof Schiefenhövel Germany 7 15 0.1× 27 0.7× 9 0.3× 15 0.5× 16 0.6× 11 272
Cheuk To Chung China 10 21 0.2× 18 0.5× 15 0.4× 31 1.1× 12 0.4× 24 240
Tongjian Zhu China 10 30 0.2× 40 1.0× 7 0.2× 12 0.4× 8 0.3× 27 273
Alexis Mitelpunkt Israel 12 16 0.1× 5 0.1× 43 1.2× 57 2.0× 23 0.9× 30 328

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

10 of 10 papers shown
1.
Assadsangabi, Reza, et al.. (2021). Multimodality oncologic evaluation of superficial neck and facial lymph nodes. La radiologia medica. 126(8). 1074–1084. 21 indexed citations
2.
Chao, Hanqing, Xi Fang, Jiajin Zhang, et al.. (2021). Integrative analysis for COVID-19 patient outcome prediction. UNICA IRIS Institutional Research Information System (University of Cagliari). 46 indexed citations
3.
Homayounieh, Fatemeh, Marcio Aloísio Bezerra Cavalcanti Rockenbach, Shadi Ebrahimian, et al.. (2021). Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. Journal of Digital Imaging. 34(2). 320–329. 9 indexed citations
4.
Rezaei‐Kalantari, Kiara, et al.. (2021). Myocardial strain by cardiac magnetic resonance: A valuable predictor of outcome after infarct revascularization. European Journal of Radiology. 144. 109989–109989. 2 indexed citations
5.
Ebrahimian, Shadi, Helen J. Khoury, Rosa Babaei, et al.. (2021). Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues. Physica Medica. 84. 125–131. 5 indexed citations
6.
Homayounieh, Fatemeh, Shadi Ebrahimian, Rosa Babaei, et al.. (2020). CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia. Radiology Cardiothoracic Imaging. 2(4). e200322–e200322. 42 indexed citations
7.
Homayounieh, Fatemeh, Éric Zhang, Rosa Babaei, et al.. (2020). Clinical and imaging features predict mortality in COVID-19 infection in Iran. PLoS ONE. 15(9). e0239519–e0239519. 16 indexed citations
8.
Homayounieh, Fatemeh, Rosa Babaei, Hadi Karimi Mobin, et al.. (2020). Computed Tomography Radiomics Can Predict Disease Severity and Outcome in Coronavirus Disease 2019 Pneumonia. Journal of Computer Assisted Tomography. 44(5). 640–646. 18 indexed citations
9.
Babaei, Rosa, et al.. (2012). Involvement of nitric oxide in pioglitazone memory improvement in morphine-induced memory impaired mice. Pharmacology Biochemistry and Behavior. 103(2). 313–321. 22 indexed citations
10.
Javadi‐Paydar, Mehrak, et al.. (2012). Involvement of NMDA receptors in the beneficial effects of pioglitazone on scopolamine-induced memory impairment in mice. Behavioural Brain Research. 231(1). 138–145. 23 indexed citations

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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