Akshayaa Vaidyanathan

33 total papers · 796 total citations
18 papers, 465 citations indexed

About

Akshayaa Vaidyanathan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Akshayaa Vaidyanathan has authored 18 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Biomedical Engineering. Recurrent topics in Akshayaa Vaidyanathan's work include Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Akshayaa Vaidyanathan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced X-ray and CT Imaging (5 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Akshayaa Vaidyanathan collaborates with scholars based in Netherlands, Belgium and United States. Akshayaa Vaidyanathan's co-authors include Philippe Lambin, Seán Walsh, Ralph T. H. Leijenaar, Fadila Zerka, Wim Vos, Benjamin Miraglio, Pierre Lovinfosse, Fabio Bottari, Anne-Noëlle Frix and Julien Guiot and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Akshayaa Vaidyanathan

16 papers receiving 460 citations

Hit Papers

A review in radiomics: Ma... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Akshayaa Vaidyanathan 264 109 83 78 51 18 465
Morgan P. McBee 255 1.0× 107 1.0× 84 1.0× 99 1.3× 31 0.6× 16 482
Huan Zhang 335 1.3× 131 1.2× 120 1.4× 91 1.2× 20 0.4× 27 529
Alanna Vial 237 0.9× 62 0.6× 86 1.0× 117 1.5× 24 0.5× 8 434
Paul Desbordes 285 1.1× 103 0.9× 70 0.8× 141 1.8× 27 0.5× 13 527
Iñaki Soto‐Rey 211 0.8× 50 0.5× 60 0.7× 136 1.7× 49 1.0× 28 498
Shawn Sun 243 0.9× 98 0.9× 57 0.7× 108 1.4× 16 0.3× 19 430
C Martinenghi 234 0.9× 98 0.9× 65 0.8× 54 0.7× 23 0.5× 33 479
Dzhoshkun I. Shakir 220 0.8× 50 0.5× 105 1.3× 131 1.7× 59 1.2× 22 530
Saeed Seyyedi 223 0.8× 66 0.6× 73 0.9× 203 2.6× 22 0.4× 12 491
Teresa Perillo 235 0.9× 66 0.6× 45 0.5× 84 1.1× 25 0.5× 44 514

Countries citing papers authored by Akshayaa Vaidyanathan

Since Specialization
Citations

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

Fields of papers citing papers by Akshayaa Vaidyanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akshayaa Vaidyanathan

This figure shows the co-authorship network connecting the top 25 collaborators of Akshayaa Vaidyanathan. A scholar is included among the top collaborators of Akshayaa Vaidyanathan 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 Akshayaa Vaidyanathan. Akshayaa Vaidyanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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