E. Naresh

420 total citations
45 papers, 178 citations indexed

About

E. Naresh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, E. Naresh has authored 45 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 11 papers in Artificial Intelligence and 9 papers in Information Systems. Recurrent topics in E. Naresh's work include Network Security and Intrusion Detection (4 papers), Software Engineering Research (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). E. Naresh is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Software Engineering Research (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). E. Naresh collaborates with scholars based in India and United States. E. Naresh's co-authors include N. N. Srinidhi, Piyush Kumar Pareek, B P Pradeep Kumar, K. Aditya Shastry, S. Kavitha, J Shreyas, M. Niranjanamurthy, S. Padmavathi, V. Asha and Saurav Mallik and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Soft Computing.

In The Last Decade

E. Naresh

33 papers receiving 156 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Naresh India 8 47 33 28 27 25 45 178
Rejwan Bin Sulaiman United Kingdom 8 106 2.3× 17 0.5× 22 0.8× 22 0.8× 54 2.2× 30 221
Vikas Solanki India 8 36 0.8× 25 0.8× 23 0.8× 39 1.4× 18 0.7× 27 247
Rajneesh Kler India 6 35 0.7× 23 0.7× 8 0.3× 19 0.7× 20 0.8× 31 204
Olukayode Oki South Africa 6 19 0.4× 26 0.8× 22 0.8× 14 0.5× 17 0.7× 35 129
P. Pandiaraja India 8 81 1.7× 44 1.3× 14 0.5× 40 1.5× 64 2.6× 28 196
K. Kalaiselvi India 7 62 1.3× 25 0.8× 13 0.5× 14 0.5× 26 1.0× 51 207
Mahaveer Singh Naruka India 7 33 0.7× 26 0.8× 18 0.6× 21 0.8× 35 1.4× 27 139
Wee Hyong Tok Singapore 8 47 1.0× 53 1.6× 10 0.4× 28 1.0× 37 1.5× 15 173
Kranthi Kumar Singamaneni India 7 85 1.8× 38 1.2× 18 0.6× 41 1.5× 54 2.2× 24 192
R. Satheesh Kumar India 8 46 1.0× 143 4.3× 17 0.6× 31 1.1× 71 2.8× 31 246

Countries citing papers authored by E. Naresh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of E. Naresh

This figure shows the co-authorship network connecting the top 25 collaborators of E. Naresh. A scholar is included among the top collaborators of E. Naresh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Naresh. E. Naresh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, B P Pradeep, et al.. (2025). Comprehensive brain tumour concealment utilizing peak valley filtering and deeplab segmentation. Scientific Reports. 15(1). 34780–34780.
4.
Srinidhi, N. N., et al.. (2025). Adaptive deep SVM for detecting early heart disease among cardiac patients. Scientific Reports. 15(1). 30222–30222. 1 indexed citations
5.
Kumar, B P Pradeep, et al.. (2024). Design of Cost Efficient VBIR Technique Using ICA and IVCA. SN Computer Science. 5(5). 13 indexed citations
6.
Naresh, E., et al.. (2024). Continuous Integration, Testing Deployment and Delivery in Devops. 1–4. 1 indexed citations
7.
Naresh, E., et al.. (2024). Meta Heuristic Technique with Reinforcement Learning for Node Deployment in Wireless Sensor Networks. SN Computer Science. 5(5). 2 indexed citations
8.
Naresh, E., et al.. (2024). Geospatial data for peer-to-peer communication among autonomous vehicles using optimized machine learning algorithm. Scientific Reports. 14(1). 20245–20245. 9 indexed citations
10.
Naresh, E., et al.. (2024). Transmission Control Protocol speculation design using Machine Learning strategy. 1–5. 1 indexed citations
12.
Siddesh, G. M., et al.. (2024). Suspicious behaviour detection in multilayer social networks using PF-KMA and SS-GAE techniques. Social Network Analysis and Mining. 14(1). 1 indexed citations
13.
Shastry, K. Aditya, et al.. (2023). A network intrusion detection framework on sparse deep denoising auto-encoder for dimensionality reduction. Soft Computing. 28(5). 4503–4517. 18 indexed citations
14.
Kavitha, S., et al.. (2023). Medicinal Plant Identification in Real-Time Using Deep Learning Model. SN Computer Science. 5(1). 24 indexed citations
15.
Naresh, E., et al.. (2023). A Novel Framework for Detection of Harmful Snakes Using YOLO Algorithm. SN Computer Science. 5(1). 4 indexed citations
18.
Nair, Manjula G., et al.. (2023). Reliable Target Tracking Model Employing Wireless Sensor Networks. SN Computer Science. 4(5). 1 indexed citations
19.
Naresh, E., et al.. (2022). An Approach for Semi-Supervised Machine Learning-Based Mobile Network Anomaly Detection With Tagging. RePEc: Research Papers in Economics. 12(3). 1–16. 1 indexed citations
20.
Naresh, E., et al.. (2021). Why I said #MeToo: An Exploration of the Purpose of Disclosure Among Indian Women. Indian Journal of Gender Studies. 29(1). 98–112. 5 indexed citations

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.

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