Sarthak Agrawal
- Health Information Management top 1%
- Artificial Intelligence
- Cardiology and Cardiovascular Medicine
- Radiology, Nuclear Medicine and Imaging
- Medical Laboratory Technology top 5%
- Co-authors
- Rachna JainPreeti NagrathChristoph LaknerAmbar NarayanTom BundervoetAlexandru CojocaruMaría E. DávalosDaniel Gerszon Mahler
- Topics
- ECG Monitoring and Analysis (1 paper)Artificial Intelligence in Healthcare (1 paper)IoT and Edge/Fog Computing (1 paper)
- Journals
- World Bank, Washington, DC eBooks2021 Innovations in Power and Advanced Computing Technologies (i-PACT)IOP Conference Series Materials Science and Engineering
- Partner nations
- India
In The Last Decade
Sarthak Agrawal
4 papers receiving 185 citations
Hit Papers
Peers
Comparison fields: 5 of 49
- Health Information Management 143
- Artificial Intelligence 66
- Cardiology and Cardiovascular Medicine 35
- Radiology, Nuclear Medicine and Imaging 30
- Medical Laboratory Technology 20
Countries citing papers authored by Sarthak Agrawal
This map shows the geographic impact of Sarthak Agrawal'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 Sarthak Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarthak Agrawal more than expected).
Fields of papers citing papers by Sarthak Agrawal
This network shows the impact of papers produced by Sarthak Agrawal. 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 Sarthak Agrawal. The network helps show where Sarthak Agrawal may publish in the future.
Co-authorship network of co-authors of Sarthak Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Sarthak Agrawal. A scholar is included among the top collaborators of Sarthak Agrawal 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 Sarthak Agrawal. Sarthak Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 35 | |
| 3 | Heart disease prediction using machine learning algorithmsbreakdown → | 174 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Make in India: A quantitative approach | 1 |
About Sarthak Agrawal
Sarthak Agrawal is a scholar working on Health Information Management, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 6 papers that have together received 212 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (1 paper), Artificial Intelligence in Healthcare (1 paper) and IoT and Edge/Fog Computing (1 paper). The work is most often cited by research in Health Information Management (143 citations), Medical Laboratory Technology (20 citations) and Health Informatics (6 citations). Sarthak Agrawal has collaborated with scholars based in India. Frequent co-authors include Rachna Jain, Preeti Nagrath, Christoph Lakner, Ambar Narayan, Tom Bundervoet, Alexandru Cojocaru, María E. Dávalos, Daniel Gerszon Mahler, Neha Gupta and Sumit Kumar Jindal. Their work appears in journals such as World Bank, Washington, DC eBooks, 2021 Innovations in Power and Advanced Computing Technologies (i-PACT) and IOP Conference Series Materials Science and Engineering.
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.