Shadi Ebrahimian

60 total papers · 1.2k total citations
47 papers, 628 citations indexed

About

Shadi Ebrahimian is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Shadi Ebrahimian has authored 47 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Biomedical Engineering. Recurrent topics in Shadi Ebrahimian's work include Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Radiation Dose and Imaging (10 papers). Shadi Ebrahimian is often cited by papers focused on Advanced X-ray and CT Imaging (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Radiation Dose and Imaging (10 papers). Shadi Ebrahimian collaborates with scholars based in United States, Iran and Germany. Shadi Ebrahimian's co-authors include Mannudeep K. Kalra, Bernardo C. Bizzo, Keith J. Dreyer, Subba R. Digumarthy, Fatemeh Homayounieh, Ardeshir Talebi, Farzaneh Ashrafi, Mehdi Nematbakhsh, Andrew N. Primak and Fatemeh Eshraghi-Jazi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shadi Ebrahimian

45 papers receiving 614 citations

Author Peers

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

Author Last Decade Papers Cites
Shadi Ebrahimian 292 112 110 94 81 47 628
Jacob J. Visser 312 1.1× 98 0.9× 328 3.0× 119 1.3× 19 0.2× 57 773
Caterina Beatrice Monti 380 1.3× 77 0.7× 154 1.4× 39 0.4× 32 0.4× 59 673
Dhiraj Baruah 373 1.3× 308 2.8× 82 0.7× 30 0.3× 65 0.8× 53 691
Andrew Makmur 218 0.7× 173 1.5× 45 0.4× 113 1.2× 95 1.2× 34 562
Joost Huiskens 153 0.5× 44 0.4× 93 0.8× 146 1.6× 34 0.4× 31 570
Lyndon Luk 435 1.5× 74 0.7× 152 1.4× 42 0.4× 18 0.2× 43 777
Keith Peters 139 0.5× 75 0.7× 122 1.1× 28 0.3× 70 0.9× 43 608
Felix Hähn 173 0.6× 83 0.7× 174 1.6× 80 0.9× 18 0.2× 45 677
Michiel E. R. Bongers 78 0.3× 193 1.7× 66 0.6× 172 1.8× 125 1.5× 33 611
Aline Mähringer‐Kunz 154 0.5× 45 0.4× 114 1.0× 95 1.0× 26 0.3× 34 599

Countries citing papers authored by Shadi Ebrahimian

Since Specialization
Citations

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

Fields of papers citing papers by Shadi Ebrahimian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadi Ebrahimian

This figure shows the co-authorship network connecting the top 25 collaborators of Shadi Ebrahimian. A scholar is included among the top collaborators of Shadi Ebrahimian 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 Shadi Ebrahimian. Shadi Ebrahimian 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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