Srinath Doss
Impact in
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- IoT and Edge/Fog Computing
- Mobile Ad Hoc Networks
- Network Security and Intrusion Detection
Papers in
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- Currency Recognition and Detection 2
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- Topic Modeling 4
- Advanced Text Analysis Techniques 2
- Co-authors
- R. Janarthanan (2 shared papers)S. Baskar (1 shared paper)R Prasanna Kumar (2 shared papers)G. Suseendran (1 shared paper)Lê Hoàng Sơn (1 shared paper)Anand Nayyar (1 shared paper)Sudeep Tanwar (1 shared paper)Ashish Khanna (1 shared paper)
In The Last Decade
Srinath Doss
21 papers receiving 226 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 5
- Computer Networks and Communications 70
- Computer Vision and Pattern Recognition 50
- Artificial Intelligence 61
- Information Systems 40
Countries citing papers authored by Srinath Doss
This map shows the geographic impact of Srinath Doss'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 Srinath Doss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinath Doss more than expected).
Fields of papers citing papers by Srinath Doss
This network shows the impact of papers produced by Srinath Doss. 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 Srinath Doss. The network helps show where Srinath Doss may publish in the future.
Co-authors
The 18 scholars most cited alongside Srinath Doss, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 52 | |
| 2 | 2018 | 46 | |
| 3 | 2023 | 46 | |
| 4 | 2024 | 31 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 8 | |
| 7 | 2020 | 6 | |
| 8 | Non-Invasive Glucose Estimation Based on Near Infrared Laser Diode Spectroscopy | 2017 | 5 |
| 9 | 2024 | 4 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2020 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | Investigating the Level of Awareness on Information Security Amongst Users at Botho University. | 2021 | 1 |
About Srinath Doss
Srinath Doss is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 25 papers that have together received 246 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Currency Recognition and Detection (2 papers), Stock Market Forecasting Methods (2 papers), IoT and Edge/Fog Computing (2 papers), Advanced Text Analysis Techniques (2 papers), Information and Cyber Security (2 papers), Network Security and Intrusion Detection (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Informatics (5 citations), Computer Networks and Communications (70 citations), Computer Vision and Pattern Recognition (50 citations), Artificial Intelligence (61 citations) and Information Systems (40 citations). Srinath Doss has collaborated with scholars based in Botswana, India and Vietnam. Frequent co-authors include R. Janarthanan, S. Baskar, R Prasanna Kumar, G. Suseendran, Lê Hoàng Sơn, Anand Nayyar, Sudeep Tanwar, Ashish Khanna, Mohan Gurusamy and Souvik Pal. Their work appears in journals such as Knowledge and Information Systems, Measurement, Journal of Ambient Intelligence and Humanized Computing, Computers, materials & continua/Computers, materials & continua (Print) and IEEE Access.
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.