T. Shankar

1.1k total citations
65 papers, 770 citations indexed

About

T. Shankar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, T. Shankar has authored 65 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 40 papers in Electrical and Electronic Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in T. Shankar's work include Energy Efficient Wireless Sensor Networks (27 papers), IoT-based Smart Home Systems (14 papers) and Cognitive Radio Networks and Spectrum Sensing (10 papers). T. Shankar is often cited by papers focused on Energy Efficient Wireless Sensor Networks (27 papers), IoT-based Smart Home Systems (14 papers) and Cognitive Radio Networks and Spectrum Sensing (10 papers). T. Shankar collaborates with scholars based in India, United Kingdom and Luxembourg. T. Shankar's co-authors include A. Rajesh, Geoffrey Eappen, S. Shanmugavel, P. Sasikumar, Сибарам Хара, R. Nilavalan, A. Karthikeyan, Ranjit Singh, A. Karthikeyan and John Cosmas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Soft Computing and Ceramics International.

In The Last Decade

T. Shankar

61 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Shankar India 15 540 473 90 76 67 65 770
Mona Shokair Egypt 14 484 0.9× 607 1.3× 84 0.9× 98 1.3× 71 1.1× 155 885
Alberto García-Ortiz Germany 14 345 0.6× 541 1.1× 119 1.3× 25 0.3× 59 0.9× 115 837
Ahmed El Oualkadi Morocco 13 304 0.6× 356 0.8× 40 0.4× 124 1.6× 70 1.0× 72 637
Vishal Sharma India 21 638 1.2× 1.2k 2.5× 45 0.5× 139 1.8× 34 0.5× 113 1.4k
Ziguo Zhong United States 13 536 1.0× 499 1.1× 61 0.7× 57 0.8× 62 0.9× 27 790
Mohamad Yusoff Alias Malaysia 18 513 0.9× 845 1.8× 68 0.8× 114 1.5× 30 0.4× 106 1.0k
El Mehdi Amhoud Morocco 11 211 0.4× 292 0.6× 100 1.1× 71 0.9× 27 0.4× 45 495
Heng Wang China 15 585 1.1× 301 0.6× 46 0.5× 34 0.4× 60 0.9× 107 732
Xiaohui Zhao China 13 253 0.5× 426 0.9× 67 0.7× 89 1.2× 61 0.9× 65 644
Ruogu Zhou United States 12 567 1.1× 557 1.2× 28 0.3× 28 0.4× 94 1.4× 21 842

Countries citing papers authored by T. Shankar

Since Specialization
Citations

This map shows the geographic impact of T. Shankar'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 T. Shankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Shankar more than expected).

Fields of papers citing papers by T. Shankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Shankar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Shankar. A scholar is included among the top collaborators of T. Shankar 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 T. Shankar. T. Shankar 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.
Eappen, Geoffrey, et al.. (2025). Migration and mutation (MeTa) hybrid trained ANN for dynamic spectrum access in wireless body area network. Results in Engineering. 25. 103883–103883. 2 indexed citations
2.
Shankar, T., et al.. (2025). A cluster based routing for maximizing the lifetime of underwater wireless sensor network using gravitational search algorithm. Results in Engineering. 25. 104470–104470. 4 indexed citations
3.
Rajesh, A., et al.. (2024). Enhancing visual clarity in rainy conditions based on single-frame filtering algorithm. Ain Shams Engineering Journal. 15(8). 102846–102846. 1 indexed citations
4.
Shankar, T., et al.. (2024). Detecting pattern irregularities in astronomical images using deep learning. 8. 1–6. 1 indexed citations
5.
Shankar, T., et al.. (2024). A survey on localization and energy efficiency in UWSN: bio-inspired approach. SHILAP Revista de lepidopterología. 6(12). 2 indexed citations
6.
Shankar, T., et al.. (2023). Unmanned aerial vehicle localization for device-to-device communication in fifth generation networks using modified penguin search optimization. Computers & Electrical Engineering. 109. 108757–108757. 4 indexed citations
7.
Shankar, T., et al.. (2022). Investigation on nanocore-centred nonlinear PCF for high nonlinearity and low dispersion. Ceramics International. 48(11). 16042–16048. 3 indexed citations
8.
Shankar, T., et al.. (2020). Study of Effect of Linear Tip Relief Modification in Power Transmission Efficiency of Spur Gears. Archives of Acoustics. 271–282. 4 indexed citations
9.
Shankar, T., et al.. (2020). Comparative Analysis of Different NG-PON2 Protection Types Based on FDM. Journal of Communications. 45–57. 1 indexed citations
10.
Shankar, T., et al.. (2020). Comparison of self-organized tree hierarchy MAC protocol and PP-MAC for energy consideration in wireless sensor networks. Materials Today Proceedings. 33. 4756–4763. 1 indexed citations
11.
Shankar, T., et al.. (2020). All optical clocked D flip flop for 1.72 Tb/s optical computing. Microelectronics Journal. 103. 104865–104865. 14 indexed citations
12.
Shankar, T., et al.. (2019). Energy Reckoning Distance Based Clustering for Spectrum Aware Cognitive Radio Wireless Sensor Networks. International Journal of Innovative Technology and Exploring Engineering. 9(2). 842–850. 1 indexed citations
13.
Shankar, T., et al.. (2019). Integrated Cuckoo and Monkey Search Algorithm for Energy Efficient Clustering in Wireless Sensor Networks. 2019 Innovations in Power and Advanced Computing Technologies (i-PACT). 1–4. 4 indexed citations
14.
Rajalakshmi, S. & T. Shankar. (2019). Investigation of Different Modulation Formats for Extended Reach NG-PON2 using RSOA. International Journal of Advanced Computer Science and Applications. 10(12). 2 indexed citations
15.
Shankar, T., et al.. (2018). A Comprehensive Study and Analysis of LEACH and HEED Routing Protocols for Wireless Sensor Networks – With Suggestion for Improvements. Indonesian Journal of Electrical Engineering and Computer Science. 9(3). 778–778. 15 indexed citations
16.
Shankar, T., et al.. (2017). HYBRID APPROACH FOR OPTIMAL CLUSTER HEAD SELECTION IN WSN USING LEACH AND MONKEY SEARCH ALGORITHMS. SHILAP Revista de lepidopterología. 14 indexed citations
17.
Shankar, T., S. Shanmugavel, & A. Karthikeyan. (2013). Modified Harmony Search Algorithm for Energy Optimization in WSN. International Review on Computers and Software (IRECOS). 8(6). 1469–1475. 6 indexed citations
18.
Shankar, T., S. Shanmugavel, & A. Karthikeyan. (2013). Hybrid Approach for Energy Optimization in Wireless Sensor Networks Using PSO. International Review on Computers and Software (IRECOS). 8(6). 1454–1459. 12 indexed citations
19.
Shankar, T., et al.. (2013). Load Balancing and Optimization of Network Lifetime by Use of Double Cluster Head Clustering Algorithm and its Comparison with Various Extended LEACH Versions. International Review on Computers and Software (IRECOS). 8(3). 795–803. 6 indexed citations
20.
Karthikeyan, A., et al.. (2012). Energy efficient MAC protocol for energy latency tradeoff in wireless sensor network traffic. 1–5. 1 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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