V. Uma Maheswari
- Health Information Management top 10%
- Information Systems top 10%
- Blockchain Technology Applications and Security 5
- Cloud Computing and Resource Management 4
- Artificial Intelligence top 10%
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- IoT and Edge/Fog Computing 8
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- Image Retrieval and Classification Techniques 5
- Face and Expression Recognition 4
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- Smart Agriculture and AI 3
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- COVID-19 diagnosis using AI 3
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- EEG and Brain-Computer Interfaces 3
- Co-authors
- Rajanikanth AluvaluChinmay ChakrabortyMartin MargalaManisha GuduriKetan KotechaC. Rohith BhatN. SriraamMVV Prasad Kantipudi
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
V. Uma Maheswari
54 papers receiving 433 citations
Peers
Comparison fields: 5 of 113
- Health Informatics 6
- Health Information Management 18
- Information Systems 82
- Artificial Intelligence 93
- Computer Networks and Communications 60
Countries citing papers authored by V. Uma Maheswari
This map shows the geographic impact of V. Uma Maheswari'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 V. Uma Maheswari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Uma Maheswari more than expected).
Fields of papers citing papers by V. Uma Maheswari
This network shows the impact of papers produced by V. Uma Maheswari. 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 V. Uma Maheswari. The network helps show where V. Uma Maheswari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Uma Maheswari, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 50 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 0 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 10 | |
| 16 | Task Scheduling Using Probabilistic Ant Colony Heuristics | 2016 | 3 |
| 17 | 2014 | 25 | |
| 18 | 2011 | 1 | |
| 19 | Synthesis, analgesic and ulcerogenic evaluation of some novel schiff and mannich bases of isatin derivatives | 2011 | 2 |
| 20 | 2004 | 2 |
About V. Uma Maheswari
V. Uma Maheswari is a scholar working on Health Informatics, Computer Networks and Communications and Media Technology, having authored 64 papers that have together received 447 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Image Retrieval and Classification Techniques (5 papers), Blockchain Technology Applications and Security (5 papers), Face and Expression Recognition (4 papers), Cloud Computing and Resource Management (4 papers), Smart Agriculture and AI (3 papers), COVID-19 diagnosis using AI (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (18 citations) and Information Systems (82 citations). V. Uma Maheswari has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Rajanikanth Aluvalu, Chinmay Chakraborty, Martin Margala, Manisha Guduri, Ketan Kotecha, C. Rohith Bhat, N. Sriraam, MVV Prasad Kantipudi, S. Viswanadha Raju and Balasubramani Ravindran.
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.