Arun More
Impact in
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- Artificial Intelligence in Healthcare
- Medical Laboratory Technology top 10%
- Quality and Safety in Healthcare
Papers in
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- Blood Pressure and Hypertension Studies 5
- Cardiovascular Health and Risk Factors 2
- Heart Rate Variability and Autonomic Control 2
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- Artificial Intelligence in Healthcare 7
- Co-authors
- M. Raihan (8 shared papers)Kushal Kanti Ghosh (1 shared paper)Tammy M. Brady (1 shared paper)Narsingh Verma (3 shared papers)Neil R Poulter (4 shared papers)Minghao Kou (1 shared paper)Thomas Beaney (4 shared papers)Md. Mahadi Hassan (1 shared paper)
- Journals
- Journal of Hypertension (2 papers)Data Intelligence (1 paper)Journal of Clinical Hypertension (1 paper)European Heart Journal Supplements (4 papers)Advances in Science Technology and Engineering Systems Journal (2 papers)
- Partner nations
- BangladeshIndiaUnited Kingdom
In The Last Decade
Arun More
14 papers receiving 88 citations
Peers
Comparison fields: 5 of 36
- Health Information Management 61
- Medical Laboratory Technology 9
- Cardiology and Cardiovascular Medicine 36
- Artificial Intelligence 42
- Health Informatics 1
Countries citing papers authored by Arun More
This map shows the geographic impact of Arun More'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 Arun More with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun More more than expected).
Fields of papers citing papers by Arun More
This network shows the impact of papers produced by Arun More. 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 Arun More. The network helps show where Arun More may publish in the future.
Co-authors
The 25 scholars most cited alongside Arun More, 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 | 2016 | 27 | |
| 2 | 2017 | 15 | |
| 3 | 2019 | 11 | |
| 4 | 2017 | 11 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 6 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2019 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2025 | 0 |
About Arun More
Arun More is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, Nutrition and Dietetics, General Health Professions and Artificial Intelligence, having authored 15 papers that have together received 100 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Blood Pressure and Hypertension Studies (5 papers), Sodium Intake and Health (4 papers), Mobile Health and mHealth Applications (3 papers), Cardiovascular Health and Risk Factors (2 papers), Health Promotion and Cardiovascular Prevention (2 papers), Imbalanced Data Classification Techniques (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Health Information Management (61 citations), Medical Laboratory Technology (9 citations), Cardiology and Cardiovascular Medicine (36 citations), Artificial Intelligence (42 citations) and Health Informatics (1 citation). Arun More has collaborated with scholars based in Bangladesh, India and United Kingdom. Frequent co-authors include M. Raihan, Kushal Kanti Ghosh, Tammy M. Brady, Narsingh Verma, Neil R Poulter, Minghao Kou, Thomas Beaney, Md. Mahadi Hassan, Yifei Lü and Lawrence J. Appel. Their work appears in journals such as Journal of Hypertension, Data Intelligence, Journal of Clinical Hypertension, European Heart Journal Supplements and Advances in Science Technology and Engineering Systems Journal.
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.