Vignesh Subbian

3.3k total citations
80 papers, 969 citations indexed

About

Vignesh Subbian is a scholar working on General Health Professions, Health Information Management and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vignesh Subbian has authored 80 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Health Professions, 10 papers in Health Information Management and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vignesh Subbian's work include Electronic Health Records Systems (9 papers), Machine Learning in Healthcare (8 papers) and Traumatic Brain Injury Research (6 papers). Vignesh Subbian is often cited by papers focused on Electronic Health Records Systems (9 papers), Machine Learning in Healthcare (8 papers) and Traumatic Brain Injury Research (6 papers). Vignesh Subbian collaborates with scholars based in United States, India and Australia. Vignesh Subbian's co-authors include Ying‐hui Chou, Mark Sundman, Nan‐kuei Chen, Fred R. Beyette, Jarrod Mosier, Anthony Solomonides, Sheila M. Gephart, Daniel C. Malone, John R. Horn and Philip D. Hansten and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Vignesh Subbian

74 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vignesh Subbian United States 18 151 124 108 98 85 80 969
Willy Chou Taiwan 22 132 0.9× 136 1.1× 169 1.6× 92 0.9× 96 1.1× 144 1.6k
Yi Xie China 16 104 0.7× 104 0.8× 66 0.6× 50 0.5× 111 1.3× 54 1.2k
Min Qian United States 20 94 0.6× 107 0.9× 110 1.0× 57 0.6× 171 2.0× 108 1.6k
Monika Pathania India 10 51 0.3× 97 0.8× 76 0.7× 195 2.0× 57 0.7× 82 1.1k
Guogen Shan United States 22 105 0.7× 80 0.6× 184 1.7× 96 1.0× 95 1.1× 146 1.7k
Andreas Theodorou United States 21 82 0.5× 86 0.7× 148 1.4× 239 2.4× 40 0.5× 48 1.6k
Pascal Staccini France 27 129 0.9× 190 1.5× 180 1.7× 68 0.7× 133 1.6× 121 1.8k
Pan Huang China 26 268 1.8× 146 1.2× 253 2.3× 242 2.5× 40 0.5× 80 1.7k
Stuart Keel Australia 23 79 0.5× 190 1.5× 409 3.8× 122 1.2× 104 1.2× 86 2.3k
Yogesan Kanagasingam Australia 31 240 1.6× 500 4.0× 121 1.1× 111 1.1× 200 2.4× 103 3.3k

Countries citing papers authored by Vignesh Subbian

Since Specialization
Citations

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

Fields of papers citing papers by Vignesh Subbian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vignesh Subbian

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

All Works

20 of 20 papers shown
1.
Shaw, Linda R., et al.. (2024). Beyond Ramps and Signs: Rethinking Support Structures for Engineering Students with Disabilities. Papers on Engineering Education Repository (American Society for Engineering Education). 2 indexed citations
2.
3.
Ghaderi, Hamid, Brandon Foreman, Chandan K. Reddy, & Vignesh Subbian. (2024). Discovery of generalizable TBI phenotypes using multivariate time-series clustering. Computers in Biology and Medicine. 180. 108997–108997. 3 indexed citations
4.
Schilling, Lisa M., Joshua E. Richardson, Vignesh Subbian, et al.. (2024). Making Science Computable Using Evidence-Based Medicine on Fast Healthcare Interoperability Resources: Standards Development Project. Journal of Medical Internet Research. 26. e54265–e54265.
5.
Mosier, Jarrod, et al.. (2024). Noninvasive vs invasive respiratory support for patients with acute hypoxemic respiratory failure. PLoS ONE. 19(9). e0307849–e0307849.
6.
Gephart, Sheila M., Vignesh Subbian, Richard D. Boyce, et al.. (2023). Barriers to Adoption of Tailored Drug–Drug Interaction Clinical Decision Support. Applied Clinical Informatics. 14(4). 779–788. 2 indexed citations
7.
Patrick, Anita, et al.. (2023). Sense of belonging in engineering and identity centrality among undergraduate students at Hispanic‐Serving Institutions. Journal of Engineering Education. 112(2). 316–336. 12 indexed citations
8.
Reddy, Chandan K., et al.. (2023). WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values. Journal of Biomedical Informatics. 144. 104438–104438. 15 indexed citations
9.
10.
Ghaderi, Hamid, et al.. (2023). A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. Journal of Biomedical Informatics. 143. 104401–104401. 9 indexed citations
11.
Henry, M., Jennifer Edwards, Eric Katz, et al.. (2023). Impact of the COVID-19 Pandemic on Emergency Department Encounters in a Major Metropolitan Area. Journal of Emergency Medicine. 66(3). e383–e390. 1 indexed citations
12.
Griffin, Ashley C, Lu He, Anthony Paulo Sunjaya, et al.. (2022). Clinical, technical, and implementation characteristics of real-world health applications using FHIR. JAMIA Open. 5(4). ooac077–ooac077. 13 indexed citations
13.
Alonso, Álvaro, Hooman Kamel, Vignesh Subbian, et al.. (2022). Epidemiology of atrial fibrillation in the All of Us Research Program. PLoS ONE. 17(3). e0265498–e0265498. 18 indexed citations
14.
Mosier, Jarrod, et al.. (2022). Predicting Failure of Noninvasive Respiratory Support Using Deep Recurrent Learning. Respiratory Care. 68(4). 488–496. 7 indexed citations
15.
Subbian, Vignesh, et al.. (2022). Transfer Learning Approaches for Neuroimaging Analysis: A Scoping Review. Frontiers in Artificial Intelligence. 5. 780405–780405. 34 indexed citations
16.
Subbian, Vignesh, et al.. (2020). Decompensation in Critical Care: Early Prediction of Acute Heart Failure Onset. JMIR Medical Informatics. 8(8). e19892–e19892. 12 indexed citations
17.
Gutruf, Philipp, Urs Utzinger, & Vignesh Subbian. (2020). Moving from Pedagogy to Andragogy in Biomedical Engineering Design: Strategies for Lab-at-Home and Distance Learning. PubMed. 1(2). 301–305. 1 indexed citations
18.
Miller, David C., Paloma I. Beamer, Dean Billheimer, et al.. (2020). Aerosol risk with noninvasive respiratory support in patients with COVID‐19. SHILAP Revista de lepidopterología. 1(4). 521–526. 19 indexed citations
19.
Mosier, Jarrod, et al.. (2018). The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database. JMIR Medical Informatics. 7(1). e13006–e13006. 12 indexed citations
20.
Tenenbaum, Jessica D., Krithika Bhuvaneshwar, Jane P. Gagliardi, et al.. (2017). Translational bioinformatics in mental health: open access data sources and computational biomarker discovery. Briefings in Bioinformatics. 20(3). 842–856. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Willy Chou Breakdown of academic impact, for papers by Yi Xie Breakdown of academic impact, for papers by Min Qian Breakdown of academic impact, for papers by Monika Pathania Breakdown of academic impact, for papers by Guogen Shan Breakdown of academic impact, for papers by Andreas Theodorou Breakdown of academic impact, for papers by Pascal Staccini Breakdown of academic impact, for papers by Pan Huang Breakdown of academic impact, for papers by Stuart Keel Breakdown of academic impact, for papers by Yogesan Kanagasingam
Rankless by CCL
2026