A. Umamakeswari
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Marketing top 10%
- Co-authors
- V. SubramaniyaswamyLogesh RaviN. SaravananV. VijayakumarArun Kumar SangaiahAnand RajaramanT. MohanrajDean Dean
- Topics
- IoT and Edge/Fog Computing (15 papers)Energy Efficient Wireless Sensor Networks (12 papers)Cloud Data Security Solutions (10 papers)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
A. Umamakeswari
66 papers receiving 605 citations
Peers
Comparison fields: 5 of 82
- Computer Networks and Communications 278
- Information Systems 153
- Artificial Intelligence 135
- Electrical and Electronic Engineering 92
- Marketing 91
Countries citing papers authored by A. Umamakeswari
This map shows the geographic impact of A. Umamakeswari'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 A. Umamakeswari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Umamakeswari more than expected).
Fields of papers citing papers by A. Umamakeswari
This network shows the impact of papers produced by A. Umamakeswari. 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 A. Umamakeswari. The network helps show where A. Umamakeswari may publish in the future.
Co-authorship network of co-authors of A. Umamakeswari
This figure shows the co-authorship network connecting the top 25 collaborators of A. Umamakeswari. A scholar is included among the top collaborators of A. Umamakeswari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Umamakeswari. A. Umamakeswari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | FBMT: fuzzy based merkle technique for detecting and mitigating malicious nodes in sensor networks. | 1 |
| 3 | 2 | |
| 4 | 0 | |
| 5 | Unethical Network Attack Detection and Prevention using Fuzzy based Decision System in Mobile Ad-hoc Networks | 3 |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 21 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Detection of diabetic retinopathy by applying total variation. | 1 |
| 18 | 2 | |
| 19 | SMART IRRIGATION TECHNIQUE USING VOCAL COMMANDS | 7 |
| 20 | Role of Object Attributes of Dynamic Images in Visual Computing for Engineering Applications. | 3 |
About A. Umamakeswari
A. Umamakeswari is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 72 papers that have together received 672 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (15 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Cloud Data Security Solutions (10 papers). The work is most often cited by research in Computer Networks and Communications (278 citations), Marketing (91 citations) and Information Systems (153 citations). A. Umamakeswari has collaborated with scholars based in India, United States and Poland. Frequent co-authors include V. Subramaniyaswamy, Logesh Ravi, N. Saravanan, V. Vijayakumar, Arun Kumar Sangaiah, Anand Rajaraman, T. Mohanraj, Dean Dean, Sean E. Shaheen and S. Abinaya. Their work appears in journals such as Future Generation Computer Systems, Computers & Security and Multimedia Tools and Applications.
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.