Kailas Devadkar
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
-
- Quality and Safety in Healthcare
Papers in
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- Cloud Computing and Resource Management 8
- Blockchain Technology Applications and Security 4
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- IoT and Edge/Fog Computing 7
- Caching and Content Delivery 4
- Advanced Data Storage Technologies 3
- Age of Information Optimization 2
- Co-authors
- Kshitij Shah (1 shared paper)Prachi Gharpure (1 shared paper)Naisha Shah (1 shared paper)Dhananjay R. Kalbande (3 shared papers)Ravi Agrawal (1 shared paper)Radha Shankarmani (1 shared paper)
- Journals
- Lecture notes on data engineering and communications technologies (1 paper)Lecture notes in electrical engineering (1 paper)Advances in intelligent systems and computing (1 paper)Journal of Physics Conference Series (1 paper)Lecture notes in networks and systems (1 paper)
- Partner nations
- India
In The Last Decade
Kailas Devadkar
30 papers receiving 383 citations
Kailas Devadkar's Hit Papers
Peers
Comparison fields: 5 of 58
- Health Information Management 199
- Medical Laboratory Technology 44
- Signal Processing 69
- Artificial Intelligence 184
- Health Informatics 7
Countries citing papers authored by Kailas Devadkar
This map shows the geographic impact of Kailas Devadkar'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 Kailas Devadkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailas Devadkar more than expected).
Fields of papers citing papers by Kailas Devadkar
This network shows the impact of papers produced by Kailas Devadkar. 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 Kailas Devadkar. The network helps show where Kailas Devadkar may publish in the future.
Co-authors
The 6 scholars most cited alongside Kailas Devadkar, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of Heart Disease Using Machine Learning Hit paper breakdown → | 2018 | 234 |
| 2 | 2015 | 103 | |
| 3 | 2020 | 21 | |
| 4 | 2013 | 12 | |
| 5 | 2018 | 7 | |
| 6 | 2020 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 4 | |
| 13 | 2012 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2024 | 2 |
About Kailas Devadkar
Kailas Devadkar is a scholar working on Information Systems, Computer Networks and Communications, Health Information Management, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 40 papers that have together received 445 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (4 papers), Caching and Content Delivery (4 papers), Advanced Data Storage Technologies (3 papers), Tunneling and Rock Mechanics (2 papers), COVID-19 diagnosis using AI (2 papers) and Age of Information Optimization (2 papers). The work is most often cited by research in Health Information Management (199 citations), Medical Laboratory Technology (44 citations), Signal Processing (69 citations), Artificial Intelligence (184 citations) and Health Informatics (7 citations). Kailas Devadkar has collaborated with scholars based in India. Frequent co-authors include Kshitij Shah, Prachi Gharpure, Naisha Shah, Dhananjay R. Kalbande, Ravi Agrawal and Radha Shankarmani. Their work appears in journals such as Lecture notes on data engineering and communications technologies, Lecture notes in electrical engineering, Advances in intelligent systems and computing, Journal of Physics Conference Series and Lecture notes in networks and systems.
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.