Ekanath Rangan
- Health Informatics top 2%
- Family Practice top 10%
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 2
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- Obstructive Sleep Apnea Research 3
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- ECG Monitoring and Analysis 6
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- Non-Invasive Vital Sign Monitoring 6
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- Time Series Analysis and Forecasting 5
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- Machine Learning in Healthcare 4
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- Context-Aware Activity Recognition Systems 4
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- Healthcare Technology and Patient Monitoring 3
- Co-authors
- Rahul Krishnan PathinarupothiJonathan H. ChenAshwin NayakK. P. SomanE. A. GopalakrishnanManeesha Vinodini RameshM SnyderK.J.S. Anand
- Journals
- Journal of Medical Internet Research (1 paper)IEEE Internet of Things Journal (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- IndiaUnited StatesTunisia
In The Last Decade
Ekanath Rangan
17 papers receiving 425 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Health Informatics 67
- Family Practice 19
- Health Information Management 26
- Computer Networks and Communications 82
- Physiology 89
Countries citing papers authored by Ekanath Rangan
This map shows the geographic impact of Ekanath Rangan'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 Ekanath Rangan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ekanath Rangan more than expected).
Fields of papers citing papers by Ekanath Rangan
This network shows the impact of papers produced by Ekanath Rangan. 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 Ekanath Rangan. The network helps show where Ekanath Rangan may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Ekanath Rangan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicinebreakdown → | 2024 | 104 |
| 3 | 2022 | 14 | |
| 4 | 2021 | 12 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 7 | |
| 7 | 2018 | 142 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 52 | |
| 10 | 2017 | 56 | |
| 11 | 2017 | 8 | |
| 12 | RASPRO: rapid summarization for effective prognosis in wireless remote health monitoring | 2016 | 3 |
| 13 | An Experimental Approach towards Energy Sustainability in University Communities | 2016 | 1 |
| 14 | 2016 | 7 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 16 |
About Ekanath Rangan
Ekanath Rangan is a scholar working on Health Informatics, Medical Laboratory Technology and Signal Processing, having authored 18 papers that have together received 437 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (6 papers), Non-Invasive Vital Sign Monitoring (6 papers), Time Series Analysis and Forecasting (5 papers), Machine Learning in Healthcare (4 papers), Context-Aware Activity Recognition Systems (4 papers), Healthcare Technology and Patient Monitoring (3 papers), Obstructive Sleep Apnea Research (3 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (67 citations), Family Practice (19 citations) and Health Information Management (26 citations). Ekanath Rangan has collaborated with scholars based in India, United States and Tunisia. Frequent co-authors include Rahul Krishnan Pathinarupothi, Jonathan H. Chen, Ashwin Nayak, K. P. Soman, E. A. Gopalakrishnan, Maneesha Vinodini Ramesh, M Snyder, K.J.S. Anand, K. A. Unnikrishna Menon and Prakash Ishwar. Their work appears in journals such as Journal of Medical Internet Research, IEEE Internet of Things Journal and npj Digital Medicine.
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.