N. Nithya
Impact in
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- Recycling and Waste Management Techniques
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- Collagen: Extraction and Characterization
Papers in
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- Data Mining Algorithms and Applications 4
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- Digital Imaging for Blood Diseases 1
- Co-authors
- Kurian Joseph (1 shared paper)T. Saravanan (2 shared papers)K. Duraiswamy (2 shared papers)C. Anitha (1 shared paper)Vinayak A. Drave (1 shared paper)Neelam Sharma (1 shared paper)Supriya Supriya (1 shared paper)M. Javed Idrisi (1 shared paper)
- Journals
- Journal of Cleaner Production (1 paper)Computers & Electrical Engineering (1 paper)Plasmonics (1 paper)Mobile Networks and Applications (1 paper)Sadhana (1 paper)
- Partner nations
- IndiaUnited StatesEthiopia
In The Last Decade
N. Nithya
20 papers receiving 269 citations
Peers
Comparison fields: 5 of 102
- Industrial and Manufacturing Engineering 27
- Biomaterials 40
- Health Informatics 4
- Health Information Management 11
- Computer Networks and Communications 41
Countries citing papers authored by N. Nithya
This map shows the geographic impact of N. Nithya'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 N. Nithya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Nithya more than expected).
Fields of papers citing papers by N. Nithya
This network shows the impact of papers produced by N. Nithya. 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 N. Nithya. The network helps show where N. Nithya may publish in the future.
Co-authors
The 8 scholars most cited alongside N. Nithya, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 124 | |
| 2 | 2019 | 32 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 17 | |
| 5 | 2023 | 16 | |
| 6 | 2014 | 15 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 10 | |
| 9 | 2015 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2023 | 8 | |
| 12 | 2025 | 6 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2018 | 1 | |
| 19 | Medical Disease Diagnosis Using Structuring Text | 2014 | 1 |
| 20 | 2016 | 1 |
About N. Nithya
N. Nithya is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Health Information Management, Biomedical Engineering and Computer Networks and Communications, having authored 28 papers that have together received 297 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (6 papers), Data Mining Algorithms and Applications (4 papers), Mobile Ad Hoc Networks (3 papers), Advanced Sensor and Energy Harvesting Materials (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Rough Sets and Fuzzy Logic (2 papers), VLSI and Analog Circuit Testing (2 papers) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (27 citations), Biomaterials (40 citations), Health Informatics (4 citations), Health Information Management (11 citations) and Computer Networks and Communications (41 citations). N. Nithya has collaborated with scholars based in India, United States and Ethiopia. Frequent co-authors include Kurian Joseph, T. Saravanan, K. Duraiswamy, C. Anitha, Vinayak A. Drave, Neelam Sharma, Supriya Supriya and M. Javed Idrisi. Their work appears in journals such as Journal of Cleaner Production, Computers & Electrical Engineering, Plasmonics, Mobile Networks and Applications and Sadhana.
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.