Arun More

974 citations
15 papers · 104 · h-index 6

Impact in

Papers in

Arun More

15 papers receiving 92 citations

Peers

Arun More
Comparison fields: 5 of 36
  • Health Information Management 60
  • Medical Laboratory Technology 9
  • Cardiology and Cardiovascular Medicine 36
  • Artificial Intelligence 42
  • Health Informatics 1
Replace Tiangang Zhu with:
Tiangang Zhu China
Sarthak Agrawal India
R. Indrakumari India
Nekane Larburu Spain
Anima Singh United States
Won-Suk Oh United States
Andrew J. Steele United Kingdom
Trupthi Rao India
Leon Kopitar Slovenia
Jagjit S. Teji United States
Arun More relative to Tiangang Zhu China Tiangang Zhu's profile →
Citations per field
00.5×1.5×2.4×
Tiangang Zhu · 1×
Citations per year

Countries citing papers authored by Arun More

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Arun More Line = papers co-authored together Arun More links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201627
2 201715
3 201711
4 201911
5 201810
6 20186
7 20215
8 20195
9 20214
10 20204
11 20192
12 20241
13 20251
14 20181
15 20161

About Arun More

Arun More is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management, General Health Professions, Nutrition and Dietetics and Artificial Intelligence, having authored 15 papers that have together received 104 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 (3 papers), Mobile Health and mHealth Applications (3 papers), Imbalanced Data Classification Techniques (2 papers), Heart Rate Variability and Autonomic Control (2 papers), Cardiovascular Health and Risk Factors (2 papers) and Cardiovascular Health and Disease Prevention (1 paper). The work is most often cited by research in Health Information Management (60 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, Md. Tanvir Hossain, Lawrence J. Appel, Mansi Patil, Arun Pulikkottil Jose, Thomas Beaney, Anuj Maheshwari, Kunihiro Matsushita and Neil R Poulter. 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.

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