Devansh Shah
Impact in
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
-
- Quality and Safety in Healthcare
Papers in
-
- Imbalanced Data Classification Techniques 1
- Sentiment Analysis and Opinion Mining 1
-
- Smart Parking Systems Research 1
- Co-authors
- Santosh Kumar Bharti (1 shared paper)Samir Patel (1 shared paper)Arun Singh (1 shared paper)Nishant Doshi (1 shared paper)Ritwik Giri (1 shared paper)Jean-Marc Valin (1 shared paper)Paris Smaragdis (1 shared paper)Rushil Shah (2 shared papers)
- Journals
- SN Computer Science (1 paper)Materials Today Proceedings (1 paper)International Journal of Recent Technology and Engineering (IJRTE) (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Devansh Shah
7 papers receiving 350 citations
Devansh Shah's Hit Papers
Peers
Comparison fields: 5 of 60
- Health Information Management 279
- Medical Laboratory Technology 36
- Health Informatics 10
- Artificial Intelligence 156
- Cardiology and Cardiovascular Medicine 60
Countries citing papers authored by Devansh Shah
This map shows the geographic impact of Devansh Shah'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 Devansh Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devansh Shah more than expected).
Fields of papers citing papers by Devansh Shah
This network shows the impact of papers produced by Devansh Shah. 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 Devansh Shah. The network helps show where Devansh Shah may publish in the future.
Co-authors
The 8 scholars most cited alongside Devansh Shah, 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 | Heart Disease Prediction using Machine Learning Techniques Hit paper breakdown → | 2020 | 352 |
| 2 | 2022 | 22 | |
| 3 | 2021 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2023 | 0 |
About Devansh Shah
Devansh Shah is a scholar working on Artificial Intelligence, Building and Construction, Computer Networks and Communications, Genetics and Neurology, having authored 8 papers that have together received 388 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (1 paper), Artificial Intelligence in Healthcare (1 paper), Sentiment Analysis and Opinion Mining (1 paper), IoT and Edge/Fog Computing (1 paper), Aviation Industry Analysis and Trends (1 paper), Smart Parking Systems Research (1 paper), Air Traffic Management and Optimization (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Health Information Management (279 citations), Medical Laboratory Technology (36 citations), Health Informatics (10 citations), Artificial Intelligence (156 citations) and Cardiology and Cardiovascular Medicine (60 citations). Devansh Shah has collaborated with scholars based in India and United States. Frequent co-authors include Santosh Kumar Bharti, Samir Patel, Arun Singh, Nishant Doshi, Ritwik Giri, Jean-Marc Valin, Paris Smaragdis and Rushil Shah. Their work appears in journals such as SN Computer Science, Materials Today Proceedings, International Journal of Recent Technology and Engineering (IJRTE) and AIP conference proceedings.
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.