M. Pushpalatha
Impact in
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
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- Network Security and Intrusion Detection
Papers in
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- Mobile Ad Hoc Networks 5
- Network Security and Intrusion Detection 5
- Opportunistic and Delay-Tolerant Networks 4
- Cooperative Communication and Network Coding 3
- Software-Defined Networks and 5G 3
- Security in Wireless Sensor Networks 3
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- Software Engineering Research 4
- Co-authors
- S. Poornima (2 shared papers)Revathi Venkataraman (5 shared papers)D Rajeswari (3 shared papers)T. Rama Rao (4 shared papers)T. K. Ramesh (2 shared papers)Arvind Chakrapani (1 shared paper)Venkatesa Prabhu Sundramurthy (1 shared paper)R. Srinivasan (2 shared papers)
In The Last Decade
M. Pushpalatha
29 papers receiving 339 citations
Peers
Comparison fields: 5 of 67
- Environmental Engineering 120
- Computer Networks and Communications 111
- Signal Processing 41
- Health Information Management 15
- Software 12
Countries citing papers authored by M. Pushpalatha
This map shows the geographic impact of M. Pushpalatha'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. Pushpalatha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Pushpalatha more than expected).
Fields of papers citing papers by M. Pushpalatha
This network shows the impact of papers produced by M. Pushpalatha. 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. Pushpalatha. The network helps show where M. Pushpalatha may publish in the future.
Co-authors
The 18 scholars most cited alongside M. Pushpalatha, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 160 | |
| 2 | 2021 | 41 | |
| 3 | 2022 | 25 | |
| 4 | 2018 | 18 | |
| 5 | 2022 | 12 | |
| 6 | 2016 | 10 | |
| 7 | 2009 | 9 | |
| 8 | 2015 | 9 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2013 | 5 | |
| 15 | 2012 | 5 | |
| 16 | 2016 | 5 | |
| 17 | 2019 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 4 |
About M. Pushpalatha
M. Pushpalatha is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Software, having authored 35 papers that have together received 368 indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (5 papers), Network Security and Intrusion Detection (5 papers), Software Engineering Research (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Cooperative Communication and Network Coding (3 papers), Software-Defined Networks and 5G (3 papers), Advanced MIMO Systems Optimization (3 papers) and Security in Wireless Sensor Networks (3 papers). The work is most often cited by research in Environmental Engineering (120 citations), Computer Networks and Communications (111 citations), Signal Processing (41 citations), Health Information Management (15 citations) and Software (12 citations). M. Pushpalatha has collaborated with scholars based in India, Iraq and Canada. Frequent co-authors include S. Poornima, Revathi Venkataraman, D Rajeswari, T. Rama Rao, T. K. Ramesh, Arvind Chakrapani, Venkatesa Prabhu Sundramurthy, R. Srinivasan, K. Srihari and Kashif Naseer Qureshi. Their work appears in journals such as Atmosphere, Computer Communications, Soft Computing, Personal and Ubiquitous Computing and PeerJ Computer Science.
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.