Kabilan Elangovan

3.3k total citations · 2 hit papers
23 papers, 1.7k citations indexed

About

Kabilan Elangovan is a scholar working on Health Informatics, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Kabilan Elangovan has authored 23 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Health Informatics, 9 papers in Artificial Intelligence and 6 papers in Strategy and Management. Recurrent topics in Kabilan Elangovan's work include Artificial Intelligence in Healthcare and Education (12 papers), Machine Learning in Healthcare (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kabilan Elangovan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (12 papers), Machine Learning in Healthcare (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Kabilan Elangovan collaborates with scholars based in Singapore, United States and United Kingdom. Kabilan Elangovan's co-authors include Daniel Shu Wei Ting, Laura Gutiérrez, Arun James Thirunavukarasu, Ting Fang Tan, Darren Shu Jeng Ting, Joshua Yi Min Tung, V. Selladurai, S.R. Devadasan, Hairil Rizal Abdullah and Jasmine Chiat Ling Ong and has published in prestigious journals such as Nature Medicine, Scientific Reports and Journal of Medical Internet Research.

In The Last Decade

Kabilan Elangovan

20 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large language models in medicine

2023 1.5k citations Arun James Thirunavukarasu, Darren Shu Jeng Ting et al. Nature Medicine profile →
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

2025 30 citations Kabilan Elangovan, Hairil Rizal Abdullah et al. npj Digital Medicine profile →

Peers

Kabilan Elangovan

HI

AI

RNMI

MB

GHP

Laura Gutiérrez Singapore

Ting Fang Tan Singapore

Arun James Thirunavukarasu United Kingdom

Emma Chen United States

Oishi Banerjee United States

Mustafa Suleyman United Kingdom

Matthew B. A. McDermott United States

Tariq Alqahtani Saudi Arabia

Julia Amann Switzerland

Jiming Xu China

Laura Gutiérrez Singapore

Kabilan Elangovan

756 ×1.0

HI

687 ×1.0

AI

476 ×1.2

RNMI

135 ×1.0

MB

107 ×1.0

GHP

Citations per year, relative to Kabilan Elangovan Kabilan Elangovan (= 1×) peers Laura Gutiérrez

Countries citing papers authored by Kabilan Elangovan

Since Specialization

Citations

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

Fields of papers citing papers by Kabilan Elangovan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kabilan Elangovan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Elangovan, Kabilan, et al.. (2025). Effect of Pitch Angle on Structural and Aerodynamic Characteristics of Vertical-Axis Wind Turbines (VAWTs) Using Leading-Edge Protuberance Blades. Energies. 18(2). 286–286. 1 indexed citations

2.

Elangovan, Kabilan, Jasmine Chiat Ling Ong, Jun Jie Benjamin Seng, et al.. (2025). Development and evaluation of a lightweight large language model chatbot for medication enquiry. PLOS Digital Health. 4(9). e0000961–e0000961.

3.

Elangovan, Kabilan, Hairil Rizal Abdullah, Nan Liu, et al.. (2025). Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. npj Digital Medicine. 8(1). 187–187. 30 indexed citations breakdown →

4.

Ong, Jasmine Chiat Ling, et al.. (2025). Large Language Models in Randomized Controlled Trials Design: Observational Study. Journal of Medical Internet Research. 27. e67469–e67469.

5.

Lim, Daniel Yan Zheng, Yuhe Ke, Jen Hong Tan, et al.. (2025). Vision-language large learning model, GPT4V, accurately classifies the Boston Bowel Preparation Scale score. BMJ Open Gastroenterology. 12(1). e001496–e001496. 1 indexed citations

6.

Ong, Jasmine Chiat Ling, Kabilan Elangovan, Daniel Shu Wei Ting, et al.. (2025). A scoping review on generative AI and large language models in mitigating medication related harm. npj Digital Medicine. 8(1). 182–182. 8 indexed citations

7.

Teo, Zhen Ling, Arun James Thirunavukarasu, Kabilan Elangovan, et al.. (2025). Generative artificial intelligence in medicine. Nature Medicine. 31(10). 3270–3282. 1 indexed citations

8.

Tung, Joshua Yi Min, Gerald Gui Ren Sng, Daniel Yan Zheng Lim, et al.. (2024). Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study. Journal of Medical Internet Research. 26. e57721–e57721. 16 indexed citations

9.

Elangovan, Kabilan, Gilbert Lim, & Daniel Shu Wei Ting. (2024). A comparative study of an on premise AutoML solution for medical image classification. Scientific Reports. 14(1). 10483–10483. 6 indexed citations

10.

Lim, Gilbert, et al.. (2024). Vision language models in ophthalmology. Current Opinion in Ophthalmology. 35(6). 487–493. 1 indexed citations

11.

Thirunavukarasu, Arun James, Kabilan Elangovan, Laura Gutiérrez, et al.. (2024). Clinical performance of automated machine learning: A systematic review. Annals of the Academy of Medicine Singapore. 53(3 - Correct DOI). 187–207. 2 indexed citations

12.

Thirunavukarasu, Arun James, Kabilan Elangovan, Laura Gutiérrez, et al.. (2023). Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial. Journal of Medical Internet Research. 25. e49949–e49949. 17 indexed citations

13.

Thirunavukarasu, Arun James, Darren Shu Jeng Ting, Kabilan Elangovan, et al.. (2023). Large language models in medicine. Nature Medicine. 29(8). 1930–1940. 1541 indexed citations breakdown →

14.

Thirunavukarasu, Arun James, Kabilan Elangovan, Laura Gutiérrez, & Daniel Shu Wei Ting. (2023). Comparative analysis of diagnostic imaging models built with automated machine learning. Future Healthcare Journal. 10(Suppl 3). S21–S23. 1 indexed citations

15.

Mathiyazhagan, K., et al.. (2020). Modelling the interrelationship of risks for green supply chain management adoption: a DEMATEL approach. International Journal of Logistics Systems and Management. 36(3). 414–414. 8 indexed citations

16.

Mathiyazhagan, K., et al.. (2019). Assessing the challenging factors towards green initiatives in Indian electronic industries: a framework and evaluation. International Journal of Productivity and Quality Management. 26(4). 417–417. 2 indexed citations

17.

Mathiyazhagan, K., et al.. (2019). Assessing the challenging factors towards green initiatives in Indian electronic industries: a framework and evaluation. International Journal of Productivity and Quality Management. 26(4). 417–417. 1 indexed citations

18.

Elangovan, Kabilan, et al.. (2018). Effect of magnetic field and rotation on the micropolar fluid model of blood flow through stenotic arteries. International Journal of Biomedical Engineering and Technology. 26(2). 171–171. 1 indexed citations

19.

Elangovan, Kabilan, et al.. (2008). Executive support for developing maintenance quality mission statement. International Journal of Services and Operations Management. 4(5). 580–580. 1 indexed citations

20.

Elangovan, Kabilan, V. Selladurai, & S.R. Devadasan. (2006). Maintenance quality policy statement: its research, design and executive support system. International Journal of Technology Policy and Management. 6(3). 237–237. 3 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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