B. Latha
- Mechanical Engineering top 2%
- Advanced machining processes and optimization 22
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- Advanced Machining and Optimization Techniques 20
- Biomedical Engineering top 10%
- Advanced Surface Polishing Techniques 7
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- IoT and Edge/Fog Computing 7
- Energy Efficient Wireless Sensor Networks 6
- Mobile Ad Hoc Networks 5
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- Cloud Computing and Resource Management 7
- Cloud Data Security Solutions 5
- Co-authors
- V.S. Senthil KumarK. PalanikumarJ. Paulo DavimT. SrinivasanK. RajagopalR. KarthikeyanT.N. ValarmathiC. Deepa
- Cited by
- Mechanical EngineeringIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
In The Last Decade
B. Latha
68 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 104
- Mechanical Engineering 727
- Industrial and Manufacturing Engineering 117
- Electrical and Electronic Engineering 582
- Biomedical Engineering 329
- Polymers and Plastics 87
Countries citing papers authored by B. Latha
This map shows the geographic impact of B. Latha'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 B. Latha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Latha more than expected).
Fields of papers citing papers by B. Latha
This network shows the impact of papers produced by B. Latha. 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 B. Latha. The network helps show where B. Latha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside B. Latha, 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 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 1 | |
| 17 | Particle swarm optimization based workflow scheduling for medical applications in cloud | 2017 | 8 |
| 18 | 2017 | 6 | |
| 19 | 2016 | 9 | |
| 20 | 2014 | 1 |
About B. Latha
B. Latha is a scholar working on Information Systems, Computer Networks and Communications, Mechanical Engineering, Industrial and Manufacturing Engineering and Signal Processing, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced machining processes and optimization (22 papers), Advanced Machining and Optimization Techniques (20 papers), IoT and Edge/Fog Computing (7 papers), Advanced Surface Polishing Techniques (7 papers), Cloud Computing and Resource Management (7 papers), Energy Efficient Wireless Sensor Networks (6 papers), Cloud Data Security Solutions (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Mechanical Engineering (727 citations), Industrial and Manufacturing Engineering (117 citations), Electrical and Electronic Engineering (582 citations), Biomedical Engineering (329 citations) and Polymers and Plastics (87 citations). B. Latha has collaborated with scholars based in India, Portugal and Tunisia. Frequent co-authors include V.S. Senthil Kumar, K. Palanikumar, J. Paulo Davim, T. Srinivasan, K. Rajagopal, R. Karthikeyan, T.N. Valarmathi, C. Deepa, L. Karunamoorthy and S. Hemavathi. Their work appears in journals such as Materials and Manufacturing Processes, Measurement, Neural Computing and Applications, Journal of Reinforced Plastics and Composites and Metals and Materials International.
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.