Chintan Bhatt
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Face and Expression Recognition 2
- Co-authors
- Pier Luigi Mazzeo (6 shared papers)P. V. Patel (1 shared paper)Deep Kothadiya (7 shared papers)Amira S. Ashour (2 shared papers)Nilanjan Dey (2 shared papers)J. Nagaraju (6 shared papers)Juan M. Corchado (2 shared papers)Ana Belén Gil González (1 shared paper)
In The Last Decade
Chintan Bhatt
36 papers receiving 863 citations
Chintan Bhatt's Hit Papers
Peers
Comparison fields: 5 of 123
- Health Information Management 181
- Human-Computer Interaction 166
- Health Informatics 24
- Medical Laboratory Technology 17
- Computer Vision and Pattern Recognition 184
Countries citing papers authored by Chintan Bhatt
This map shows the geographic impact of Chintan Bhatt'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 Chintan Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chintan Bhatt more than expected).
Fields of papers citing papers by Chintan Bhatt
This network shows the impact of papers produced by Chintan Bhatt. 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 Chintan Bhatt. The network helps show where Chintan Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Chintan Bhatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Effective Heart Disease Prediction Using Machine Learning Techniques Hit paper breakdown → | 2023 | 200 |
| 2 | 2022 | 110 | |
| 3 | 2021 | 100 | |
| 4 | 2017 | 95 | |
| 5 | 2022 | 56 | |
| 6 | 2023 | 49 | |
| 7 | 2021 | 44 | |
| 8 | 2022 | 42 | |
| 9 | 2022 | 24 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2008 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2021 | 10 | |
| 18 | 2010 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2011 | 8 |
About Chintan Bhatt
Chintan Bhatt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Computer Networks and Communications and Human-Computer Interaction, having authored 38 papers that have together received 931 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (4 papers), Emotion and Mood Recognition (3 papers), Food Drying and Modeling (3 papers), Analytical Chemistry and Sensors (3 papers), Advanced Chemical Sensor Technologies (3 papers), Face and Expression Recognition (2 papers), COVID-19 diagnosis using AI (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Health Information Management (181 citations), Human-Computer Interaction (166 citations), Health Informatics (24 citations), Medical Laboratory Technology (17 citations) and Computer Vision and Pattern Recognition (184 citations). Chintan Bhatt has collaborated with scholars based in India, Italy and Spain. Frequent co-authors include Pier Luigi Mazzeo, P. V. Patel, Deep Kothadiya, Amira S. Ashour, Nilanjan Dey, J. Nagaraju, Juan M. Corchado, Ana Belén Gil González, Jesús Carretero and Dandi Yang. Their work appears in journals such as IEEE Access, Electronics, Scientific Reports, Advanced Engineering Materials and Microscopy Research and Technique.
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.