K. Praghash
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
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- IoT and Edge/Fog Computing
Papers in
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- Multilevel Inverters and Converters 3
- IoT-based Smart Home Systems 3
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- IoT and Edge/Fog Computing 5
- Smart Systems and Machine Learning 3
- Energy Efficient Wireless Sensor Networks 3
- Co-authors
- N. Yuvaraj (9 shared papers)T. Karthikeyan (6 shared papers)Geno Peter (10 shared papers)Albert Alexander Stonier (7 shared papers)Vivekananda Ganji (5 shared papers)R. Arshath Raja (3 shared papers)J. Logeshwaran (1 shared paper)N. Yuvaraj (1 shared paper)
In The Last Decade
K. Praghash
33 papers receiving 398 citations
Peers
Comparison fields: 5 of 68
- Automotive Engineering 69
- Computer Networks and Communications 103
- Business and International Management 8
- Electrical and Electronic Engineering 184
- Information Systems 75
Countries citing papers authored by K. Praghash
This map shows the geographic impact of K. Praghash'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 K. Praghash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Praghash more than expected).
Fields of papers citing papers by K. Praghash
This network shows the impact of papers produced by K. Praghash. 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 K. Praghash. The network helps show where K. Praghash may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Praghash, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2020 | 59 | |
| 3 | 2021 | 47 | |
| 4 | 2023 | 28 | |
| 5 | 2021 | 24 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 5 | |
| 20 | 2015 | 4 |
About K. Praghash
K. Praghash is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 412 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (5 papers), Advanced Battery Technologies Research (3 papers), Blockchain Technology Applications and Security (3 papers), Multilevel Inverters and Converters (3 papers), Smart Systems and Machine Learning (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Privacy-Preserving Technologies in Data (3 papers) and IoT-based Smart Home Systems (3 papers). The work is most often cited by research in Automotive Engineering (69 citations), Computer Networks and Communications (103 citations), Business and International Management (8 citations), Electrical and Electronic Engineering (184 citations) and Information Systems (75 citations). K. Praghash has collaborated with scholars based in India, Ethiopia and Oman. Frequent co-authors include N. Yuvaraj, T. Karthikeyan, Geno Peter, Albert Alexander Stonier, Vivekananda Ganji, R. Arshath Raja, J. Logeshwaran, N. Yuvaraj, R. Ravi and Arun Vijayakumar. Their work appears in journals such as Wireless Personal Communications, Wireless Communications and Mobile Computing, International Journal of Energy Research, IET Renewable Power Generation and IEEE Access.
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.