Amit Kishor
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- IoT and Edge/Fog Computing 10
- Smart Systems and Machine Learning 1
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- Artificial Intelligence in Healthcare 5
- Co-authors
- Chinmay Chakraborty (8 shared papers)Joel J. P. C. Rodrigues (1 shared paper)Sanjay Kumar Yadav (1 shared paper)Ravi Agrawal (1 shared paper)Ravi Kumar Sachdeva (1 shared paper)Himanshu Agarwal (1 shared paper)
In The Last Decade
Amit Kishor
15 papers receiving 577 citations
Amit Kishor's Hit Papers
Peers
Comparison fields: 5 of 94
- Health Information Management 96
- Health Informatics 18
- Computer Networks and Communications 252
- Information Systems 157
- Artificial Intelligence 151
Countries citing papers authored by Amit Kishor
This map shows the geographic impact of Amit Kishor'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 Amit Kishor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kishor more than expected).
Fields of papers citing papers by Amit Kishor
This network shows the impact of papers produced by Amit Kishor. 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 Amit Kishor. The network helps show where Amit Kishor may publish in the future.
Co-authors
The 6 scholars most cited alongside Amit Kishor, 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 | Artificial Intelligence and Internet of Things Based Healthcare 4.0 Monitoring System Hit paper breakdown → | 2021 | 136 |
| 2 | 2021 | 113 | |
| 3 | 2022 | 74 | |
| 4 | 2021 | 59 | |
| 5 | 2022 | 59 | |
| 6 | 2021 | 56 | |
| 7 | 2021 | 38 | |
| 8 | 2021 | 25 | |
| 9 | 2018 | 16 | |
| 10 | 2021 | 12 | |
| 11 | 2025 | 5 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 |
About Amit Kishor
Amit Kishor is a scholar working on Computer Networks and Communications, Health Information Management, Information Systems, Cardiology and Cardiovascular Medicine and Artificial Intelligence, having authored 16 papers that have together received 600 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (10 papers), Artificial Intelligence in Healthcare (5 papers), COVID-19 diagnosis using AI (2 papers), Internet of Things and AI (2 papers), Imbalanced Data Classification Techniques (2 papers), ECG Monitoring and Analysis (2 papers), IoT Networks and Protocols (1 paper) and Smart Systems and Machine Learning (1 paper). The work is most often cited by research in Health Information Management (96 citations), Health Informatics (18 citations), Computer Networks and Communications (252 citations), Information Systems (157 citations) and Artificial Intelligence (151 citations). Amit Kishor has collaborated with scholars based in India, Brazil and Portugal. Frequent co-authors include Chinmay Chakraborty, Joel J. P. C. Rodrigues, Sanjay Kumar Yadav, Ravi Agrawal, Ravi Kumar Sachdeva and Himanshu Agarwal. Their work appears in journals such as Wireless Personal Communications, IEEE Transactions on Computational Social Systems, Computers & Electrical Engineering, Multimedia Tools and Applications and International Journal of Engineering Systems Modelling and Simulation.
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.