E. Naresh
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
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- Artificial Intelligence in Healthcare
Papers in
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- Network Security and Intrusion Detection 4
- Energy Efficient Wireless Sensor Networks 3
- IoT and Edge/Fog Computing 3
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- Software Engineering Research 6
- Co-authors
- N. N. Srinidhi (11 shared papers)Piyush Kumar Pareek (5 shared papers)B P Pradeep Kumar (6 shared papers)S. Kavitha (1 shared paper)K. Aditya Shastry (1 shared paper)J Shreyas (1 shared paper)Ayesha Ayesha (1 shared paper)M. Niranjanamurthy (3 shared papers)
- Journals
- Scientific Reports (5 papers)SN Computer Science (10 papers)Indian Journal of Science and Technology (1 paper)Science & Technology Libraries (1 paper)Indian Journal of Gender Studies (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
E. Naresh
42 papers receiving 215 citations
Peers
Comparison fields: 5 of 67
- Management Science and Operations Research 31
- Health Information Management 10
- Artificial Intelligence 61
- Computer Networks and Communications 40
- Computer Vision and Pattern Recognition 33
Countries citing papers authored by E. Naresh
This map shows the geographic impact of E. Naresh'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 E. Naresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Naresh more than expected).
Fields of papers citing papers by E. Naresh
This network shows the impact of papers produced by E. Naresh. 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 E. Naresh. The network helps show where E. Naresh may publish in the future.
Co-authors
The 23 scholars most cited alongside E. Naresh, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 32 | |
| 2 | 2018 | 21 | |
| 3 | 2023 | 19 | |
| 4 | 2024 | 18 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 14 | |
| 7 | 2020 | 12 | |
| 8 | 2024 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2023 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About E. Naresh
E. Naresh is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 242 indexed citations. Recurring topics across this work include Software Engineering Research (6 papers), Network Security and Intrusion Detection (4 papers), Anomaly Detection Techniques and Applications (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), IoT and Edge/Fog Computing (3 papers), Stock Market Forecasting Methods (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Software Testing and Debugging Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (31 citations), Health Information Management (10 citations), Artificial Intelligence (61 citations), Computer Networks and Communications (40 citations) and Computer Vision and Pattern Recognition (33 citations). E. Naresh has collaborated with scholars based in India, United States and Canada. Frequent co-authors include N. N. Srinidhi, Piyush Kumar Pareek, B P Pradeep Kumar, S. Kavitha, K. Aditya Shastry, J Shreyas, Ayesha Ayesha, M. Niranjanamurthy, Arunadevi Thirumalraj and V Asha. Their work appears in journals such as Scientific Reports, SN Computer Science, Indian Journal of Science and Technology, Science & Technology Libraries and Indian Journal of Gender Studies.
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.