Vishnu Bashyam

1.6k total citations
9 papers, 188 citations indexed

About

Vishnu Bashyam is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Vishnu Bashyam has authored 9 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 2 papers in Pharmacology. Recurrent topics in Vishnu Bashyam's work include Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Vishnu Bashyam is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Vishnu Bashyam collaborates with scholars based in United States, Germany and France. Vishnu Bashyam's co-authors include Christos Davatzikos, Theodore D. Satterthwaite, Mingyao Li, Meichen Yu, Russell T. Shinohara, Haochang Shou, Aaron Alexander‐Bloch, Fengling Hu, Güray Erus and Hannah Horng and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Pain.

In The Last Decade

Vishnu Bashyam

9 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vishnu Bashyam United States 5 71 65 37 27 21 9 188
Jessica Dafflon United Kingdom 8 122 1.7× 54 0.8× 27 0.7× 13 0.5× 26 1.2× 10 216
Pedro F. da Costa United Kingdom 6 106 1.5× 50 0.8× 26 0.7× 11 0.4× 22 1.0× 11 178
Matthew Townend United Kingdom 6 33 0.5× 50 0.8× 49 1.3× 12 0.4× 20 1.0× 19 218
Nicola K. Dinsdale United Kingdom 7 79 1.1× 106 1.6× 84 2.3× 44 1.6× 30 1.4× 16 270
Marc-André Schulz Germany 7 136 1.9× 62 1.0× 66 1.8× 20 0.7× 8 0.4× 11 298
Jelena Božek Croatia 9 85 1.2× 100 1.5× 84 2.3× 72 2.7× 22 1.0× 24 246
Benedikt A. Jónsson Iceland 4 103 1.5× 93 1.4× 63 1.7× 32 1.2× 37 1.8× 7 272
Guangqi Wen China 8 175 2.5× 39 0.6× 69 1.9× 15 0.6× 18 0.9× 19 279
Tanweer Rashid United States 12 53 0.7× 60 0.9× 10 0.3× 16 0.6× 18 0.9× 24 250

Countries citing papers authored by Vishnu Bashyam

Since Specialization
Citations

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

Fields of papers citing papers by Vishnu Bashyam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vishnu Bashyam

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

All Works

9 of 9 papers shown
1.
Wang, Rongguang, Zhijian Yang, Vishnu Bashyam, et al.. (2024). Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples. Scientific Data. 11(1). 1330–1330. 3 indexed citations
2.
Valdés-Hernández, Pedro A., Alisa J. Johnson, Vishnu Bashyam, et al.. (2023). Accelerated Brain Aging Mediates the Association Between Psychological Profiles and Clinical Pain in Knee Osteoarthritis. Journal of Pain. 25(5). 104423–104423. 2 indexed citations
3.
Hu, Fengling, Andrew A. Chen, Hannah Horng, et al.. (2023). Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. NeuroImage. 274. 120125–120125. 65 indexed citations
4.
Wang, Rongguang, Vishnu Bashyam, Zhijian Yang, et al.. (2023). Applications of generative adversarial networks in neuroimaging and clinical neuroscience. NeuroImage. 269. 119898–119898. 48 indexed citations
5.
Valdés-Hernández, Pedro A., Alisa J. Johnson, Vishnu Bashyam, et al.. (2023). Brain-predicted age difference estimated using DeepBrainNet is significantly associated with pain and function—a multi-institutional and multiscanner study. Pain. 164(12). 2822–2838. 8 indexed citations
6.
Kaufmann, Tobias, Vishnu Bashyam, Güray Erus, et al.. (2022). Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias. Human Brain Mapping. 44(3). 1118–1128. 24 indexed citations
7.
8.
Adluru, Nagesh, Veena A. Nair, Vivek Prabhakaran, et al.. (2021). Characterizing brain age in the Alzheimer's disease connectome project using a deep neural network pre‐trained on the UK Biobank. Alzheimer s & Dementia. 17(S5). 1 indexed citations
9.
Truelove‐Hill, Monica, Güray Erus, Vishnu Bashyam, et al.. (2020). A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents. Journal of Neuroscience. 40(6). 1265–1275. 35 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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