Suresh Sankaranarayanan

1.7k total citations
101 papers, 1.1k citations indexed

About

Suresh Sankaranarayanan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Suresh Sankaranarayanan has authored 101 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 26 papers in Electrical and Electronic Engineering. Recurrent topics in Suresh Sankaranarayanan's work include Mobile Agent-Based Network Management (18 papers), Multi-Agent Systems and Negotiation (16 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Suresh Sankaranarayanan is often cited by papers focused on Mobile Agent-Based Network Management (18 papers), Multi-Agent Systems and Negotiation (16 papers) and Energy Efficient Wireless Sensor Networks (16 papers). Suresh Sankaranarayanan collaborates with scholars based in India, Jamaica and Brunei. Suresh Sankaranarayanan's co-authors include Rijo Jackson Tom, Joel J. P. C. Rodrigues, Sameer Saxena, Prerna Jain, Jian Wan, S. A. Kozlov, S. Srividhya, Vijayan Sugumaran, S. N. Omkar and V. Mani and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Suresh Sankaranarayanan

93 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suresh Sankaranarayanan India 16 306 292 190 173 136 101 1.1k
Amit Sharma India 17 264 0.9× 191 0.7× 191 1.0× 196 1.1× 65 0.5× 50 1.2k
Wen‐Tsai Sung Taiwan 21 362 1.2× 336 1.2× 138 0.7× 126 0.7× 223 1.6× 121 1.2k
Vikram Puri Vietnam 17 185 0.6× 187 0.6× 155 0.8× 116 0.7× 62 0.5× 49 991
Antoine Bagula South Africa 23 777 2.5× 461 1.6× 269 1.4× 160 0.9× 199 1.5× 142 1.7k
Israr Ullah South Korea 20 358 1.2× 260 0.9× 285 1.5× 143 0.8× 68 0.5× 48 1.1k
Sergio Trilles Spain 21 308 1.0× 426 1.5× 129 0.7× 157 0.9× 63 0.5× 60 1.3k
K. Saravanan India 15 208 0.7× 191 0.7× 106 0.6× 95 0.5× 136 1.0× 115 830
Tullio Salmon Cinotti Italy 19 574 1.9× 416 1.4× 249 1.3× 153 0.9× 179 1.3× 79 1.4k
Faris A. Almalki Saudi Arabia 20 512 1.7× 525 1.8× 252 1.3× 204 1.2× 29 0.2× 56 1.6k
Andrea Vinci Italy 16 308 1.0× 250 0.9× 143 0.8× 196 1.1× 55 0.4× 63 1.1k

Countries citing papers authored by Suresh Sankaranarayanan

Since Specialization
Citations

This map shows the geographic impact of Suresh Sankaranarayanan'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 Suresh Sankaranarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suresh Sankaranarayanan more than expected).

Fields of papers citing papers by Suresh Sankaranarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suresh Sankaranarayanan. 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 Suresh Sankaranarayanan. The network helps show where Suresh Sankaranarayanan may publish in the future.

Co-authorship network of co-authors of Suresh Sankaranarayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Suresh Sankaranarayanan. A scholar is included among the top collaborators of Suresh Sankaranarayanan 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 Suresh Sankaranarayanan. Suresh Sankaranarayanan 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.
2.
Sankaranarayanan, Suresh, et al.. (2024). Enhancing Healthcare Imaging Security: Color Secret Sharing Protocol for the Secure Transmission of Medical Images. IEEE Access. 12. 100200–100216. 1 indexed citations
3.
Sankaranarayanan, Suresh, et al.. (2024). An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL). PLoS ONE. 19(5). e0302196–e0302196. 2 indexed citations
4.
Sankaranarayanan, Suresh, et al.. (2024). Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model. PeerJ Computer Science. 10. e1985–e1985. 2 indexed citations
5.
Sankaranarayanan, Suresh, et al.. (2024). Node Localization Method in Wireless Sensor Networks Using Combined Crow Search and the Weighted Centroid Method. Sensors. 24(15). 4791–4791. 8 indexed citations
6.
Sankaranarayanan, Suresh, et al.. (2023). Firebug Optimized Modified Bee Colony Algorithm for Trusted WSN Routing. IETE Journal of Research. 70(5). 4903–4916.
7.
Sankaranarayanan, Suresh, et al.. (2023). Machine Learning Enabled Crop Recommendation System for Arid Land. 1. 56–61. 1 indexed citations
8.
Sankaranarayanan, Suresh, et al.. (2022). Fuzzy Aggregator Based Energy Aware RPL Routing for IoT Enabled Forest Environment. Computers, materials & continua/Computers, materials & continua (Print). 72(2). 4039–4055. 1 indexed citations
9.
Sankaranarayanan, Suresh, et al.. (2021). Post Thoracic Surgery Life Expectancy Prediction Using Machine Learning. International Journal of Healthcare Information Systems and Informatics. 16(4). 1–20. 4 indexed citations
10.
Sankaranarayanan, Suresh, et al.. (2021). Compression-Aware Aggregation and Energy-Aware Routing in IoT–Fog-Enabled Forest Environment. Sensors. 21(13). 4591–4591. 7 indexed citations
11.
Sankaranarayanan, Suresh, et al.. (2020). Multi-Agent-Based Modeling for Underground Pipe Health and Water Quality Monitoring for Supplying Quality Water. International Journal of Intelligent Information Technologies. 16(3). 52–79. 5 indexed citations
12.
Sankaranarayanan, Suresh, et al.. (2020). Water Demand Forecasting using Deep Learning in IoT Enabled Water Distribution Network. International Journal of Computers Communications & Control. 15(6). 10 indexed citations
13.
Tom, Rijo Jackson, Suresh Sankaranarayanan, & Joel J. P. C. Rodrigues. (2019). Smart Energy Management and Demand Reduction by Consumers and Utilities in an IoT-Fog-Based Power Distribution System. IEEE Internet of Things Journal. 6(5). 7386–7394. 59 indexed citations
14.
Sankaranarayanan, Suresh, et al.. (2019). Water Demand Prediction for Housing Apartments Using Time Series Analysis. International Journal of Intelligent Information Technologies. 15(4). 57–75. 7 indexed citations
15.
Sankaranarayanan, Suresh, et al.. (2019). SVM-Based Traffic Data Classification for Secured IoT-Based Road Signaling System. International Journal of Intelligent Information Technologies. 15(1). 22–50. 7 indexed citations
16.
Saxena, Sameer, et al.. (2018). IoT based hydroponics system using Deep Neural Networks. Computers and Electronics in Agriculture. 155. 473–486. 190 indexed citations
17.
Tom, Rijo Jackson & Suresh Sankaranarayanan. (2017). IoT based SCADA integrated with Fog for power distribution automation. 1–4. 42 indexed citations
18.
Sankaranarayanan, Suresh, et al.. (2012). Job Search System in Android Environment-Application of Intelligent Agents. SSRN Electronic Journal. 3 indexed citations
19.
Sankaranarayanan, Suresh, et al.. (2012). Intelligent Agent based Flight Search and Booking System. International Journal of Advanced Computer Science and Applications. 1(4). 4 indexed citations
20.
Sankaranarayanan, Suresh. (2008). Policy based Agent Architecture for Sensor based Mesh Networks - Health Care Monitoring.. 75–81. 10 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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