Pravin R. Kshirsagar
-
- IoT and Edge/Fog Computing 6
- Network Security and Intrusion Detection 4
-
- Artificial Intelligence in Healthcare 7
- Signal Processing top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Neural Networks and Applications 7
- Metaheuristic Optimization Algorithms Research 4
-
- COVID-19 diagnosis using AI 5
-
- IoT-based Smart Home Systems 5
-
- EEG and Brain-Computer Interfaces 5
- Co-authors
- Sudhir G. AkojwarShitharth SelvarajanHariprasath ManoharanShanmugam SundaramurthyVineet TirthMohd NavedVenkatesa Prabhu SundramurthyP. Vijayakumar
- Partner nations
- IndiaSaudi ArabiaEthiopia
In The Last Decade
Pravin R. Kshirsagar
57 papers receiving 686 citations
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 200
- Health Information Management 36
- Signal Processing 75
- Information Systems 143
- Artificial Intelligence 185
Countries citing papers authored by Pravin R. Kshirsagar
This map shows the geographic impact of Pravin R. Kshirsagar'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 Pravin R. Kshirsagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravin R. Kshirsagar more than expected).
Fields of papers citing papers by Pravin R. Kshirsagar
This network shows the impact of papers produced by Pravin R. Kshirsagar. 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 Pravin R. Kshirsagar. The network helps show where Pravin R. Kshirsagar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pravin R. Kshirsagar, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 39 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 1 | |
| 13 | 2022 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2021 | 36 | |
| 16 | 2021 | 43 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 23 | |
| 19 | Sentiment Analysis of Amazon Product Reviews using Machine Learning | 2020 | 1 |
| 20 | 2016 | 35 |
About Pravin R. Kshirsagar
Pravin R. Kshirsagar is a scholar working on Health Information Management, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 61 papers that have together received 807 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (7 papers), Neural Networks and Applications (7 papers), IoT and Edge/Fog Computing (6 papers), COVID-19 diagnosis using AI (5 papers), IoT-based Smart Home Systems (5 papers), EEG and Brain-Computer Interfaces (5 papers), Network Security and Intrusion Detection (4 papers) and Metaheuristic Optimization Algorithms Research (4 papers). The work is most often cited by research in Computer Networks and Communications (200 citations), Health Information Management (36 citations) and Signal Processing (75 citations). Pravin R. Kshirsagar has collaborated with scholars based in India, Saudi Arabia and Ethiopia. Frequent co-authors include Sudhir G. Akojwar, Shitharth Selvarajan, Hariprasath Manoharan, Shanmugam Sundaramurthy, Vineet Tirth, Mohd Naved, Venkatesa Prabhu Sundramurthy, P. Vijayakumar, Praveen Kumar Balachandran and Khaled H. Alyoubi. Their work appears in journals such as IEEE Access, Sustainability and IEEE Sensors Journal.
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.