M. Prakash
Impact in
-
- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
-
- Artificial Intelligence in Healthcare
Papers in
-
- IoT and Edge/Fog Computing 13
- Energy Efficient Wireless Sensor Networks 6
-
- Cloud Computing and Resource Management 11
- Blockchain Technology Applications and Security 9
- Cloud Data Security Solutions 6
- Co-authors
- S. NeelakandanSaleh AlghamdiYouseef AlotaibiOsamah Ibrahim KhalafDeepak Kumar JainSambit SatpathyD. PaulrajL. Natrayan
- Journals
- Symmetry (4 papers)Sensors (3 papers)Scientific Reports (2 papers)Journal of Cloud Computing Advances Systems and Applications (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
M. Prakash
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Computer Networks and Communications 512
- Health Information Management 83
- Information Systems 360
- Artificial Intelligence 374
- Computer Vision and Pattern Recognition 208
Countries citing papers authored by M. Prakash
This map shows the geographic impact of M. Prakash'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 M. Prakash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Prakash more than expected).
Fields of papers citing papers by M. Prakash
This network shows the impact of papers produced by M. Prakash. 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 M. Prakash. The network helps show where M. Prakash may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Prakash, 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 | 26 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 27 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 16 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 36 | |
| 16 | 2020 | 20 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 13 | |
| 19 | 2015 | 5 | |
| 20 | 2007 | 35 |
About M. Prakash
M. Prakash is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Cloud Computing and Resource Management (11 papers), Blockchain Technology Applications and Security (9 papers), Cloud Data Security Solutions (6 papers), Energy Efficient Wireless Sensor Networks (6 papers), Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Computer Networks and Communications (512 citations), Health Information Management (83 citations), Information Systems (360 citations), Artificial Intelligence (374 citations) and Computer Vision and Pattern Recognition (208 citations). M. Prakash has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include S. Neelakandan, Saleh Alghamdi, Youseef Alotaibi, Osamah Ibrahim Khalaf, Deepak Kumar Jain, Sambit Satpathy, D. Paulraj, L. Natrayan, Sumarga Kumar Sah Tyagi and Swapan Debbarma. Their work appears in journals such as Symmetry, Sensors, Scientific Reports, Journal of Cloud Computing Advances Systems and Applications and Journal of Intelligent & Fuzzy 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.