M. Lydia

1.4k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

M. Lydia is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, M. Lydia has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 8 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. Recurrent topics in M. Lydia's work include Energy Load and Power Forecasting (11 papers), Wind Energy Research and Development (7 papers) and Smart Grid Security and Resilience (5 papers). M. Lydia is often cited by papers focused on Energy Load and Power Forecasting (11 papers), Wind Energy Research and Development (7 papers) and Smart Grid Security and Resilience (5 papers). M. Lydia collaborates with scholars based in India, Israel and Nepal. M. Lydia's co-authors include G. Edwin Prem Kumar, A. Immanuel Selvakumar, S. Suresh Kumar, K. Baskaran, Elijah Blessing Rajsingh, Yoash Levron, Milan Raj, R. Meenal and J. Jayakumar and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy Conversion and Management and Renewable Energy.

In The Last Decade

M. Lydia

25 papers receiving 1.0k citations

Hit Papers

A comprehensive review on wind turbine power curve modeli... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Lydia India 10 812 424 268 215 123 26 1.1k
G. Edwin Prem Kumar India 10 762 0.9× 401 0.9× 248 0.9× 199 0.9× 121 1.0× 24 1.1k
Runmin Zou China 16 1.0k 1.3× 237 0.6× 214 0.8× 328 1.5× 95 0.8× 69 1.3k
Huan Long China 20 852 1.0× 244 0.6× 527 2.0× 375 1.7× 81 0.7× 71 1.5k
Mehmet Yeşilbudak Türkiye 16 851 1.0× 199 0.5× 302 1.1× 420 2.0× 69 0.6× 54 1.1k
Ke Meng Australia 22 872 1.1× 104 0.2× 538 2.0× 179 0.8× 64 0.5× 44 1.3k
D. M. Vinod Kumar India 16 921 1.1× 126 0.3× 265 1.0× 236 1.1× 62 0.5× 54 1.1k
Junyi Zhou United States 9 790 1.0× 342 0.8× 60 0.2× 209 1.0× 176 1.4× 14 998
Lei Dong China 15 588 0.7× 182 0.4× 168 0.6× 185 0.9× 89 0.7× 75 859
Jiandong Duan China 16 712 0.9× 82 0.2× 283 1.1× 226 1.1× 44 0.4× 90 1.2k
S. Suresh Kumar India 10 760 0.9× 400 0.9× 281 1.0× 224 1.0× 116 0.9× 27 1.0k

Countries citing papers authored by M. Lydia

Since Specialization
Citations

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

Fields of papers citing papers by M. Lydia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Lydia

This figure shows the co-authorship network connecting the top 25 collaborators of M. Lydia. A scholar is included among the top collaborators of M. Lydia 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 M. Lydia. M. Lydia 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.
Lydia, M., et al.. (2024). Wind speed and wind power forecasting models. Energy & Environment. 36(8). 3677–3713. 7 indexed citations
3.
Lydia, M., G. Edwin Prem Kumar, & A. Immanuel Selvakumar. (2022). Securing the cyber-physical system: a review. RePEc: Research Papers in Economics. 9(3). 193–223. 9 indexed citations
4.
Kumar, G. Edwin Prem, M. Lydia, & Yoash Levron. (2021). Security Challenges in 5G and IoT Networks: A Review. EAI/Springer Innovations in Communication and Computing. 1–13. 6 indexed citations
5.
Kumar, G. Edwin Prem & M. Lydia. (2021). A Comprehensive Overview on Impact of Trust Models in Internet of Things. 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). 195–200. 2 indexed citations
7.
Lydia, M. & G. Edwin Prem Kumar. (2020). Machine learning applications in wind turbine generating systems. Materials Today Proceedings. 45. 6411–6414. 7 indexed citations
8.
Meenal, R., et al.. (2020). Machine Learning Based Univariate Models For Long Term Wind Speed Forecasting. 779–784. 6 indexed citations
9.
Kumar, G. Edwin Prem, M. Lydia, K. Baskaran, & Elijah Blessing Rajsingh. (2019). Trust aware fault tolerant prediction model for wireless sensor network based measurements in Smart Grid environment. Sustainable Computing Informatics and Systems. 23. 29–37. 9 indexed citations
10.
Lydia, M., G. Edwin Prem Kumar, & Yoash Levron. (2019). Detection of Electricity Theft based on Compressed Sensing. 995–1000. 19 indexed citations
11.
Kumar, G. Edwin Prem, K. Baskaran, Elijah Blessing Rajsingh, M. Lydia, & A. Immanuel Selvakumar. (2019). Trust aware nature inspired optimised routing in clustered wireless sensor networks. International Journal of Bio-Inspired Computation. 14(2). 103–103. 21 indexed citations
12.
Kumar, G. Edwin Prem, K. Baskaran, Elijah Blessing Rajsingh, & M. Lydia. (2018). Trust based data prediction, aggregation and reconstruction using compressed sensing for clustered wireless sensor networks. Computers & Electrical Engineering. 72. 894–909. 49 indexed citations
13.
Selvakumar, A. Immanuel, M. Lydia, Elijah Blessing Rajsingh, K. Baskaran, & G. Edwin Prem Kumar. (2018). Trust Aware Nature Inspired Optimized Routing in Clustered Wireless Sensor Networks. International Journal of Bio-Inspired Computation. 1(1). 1–1. 8 indexed citations
14.
Kumar, G. Edwin Prem, et al.. (2016). Evaluation of Hybrid Trust Models Using Ant Colony Optimization in Wireless Sensor Networks. International Journal on Smart Sensing and Intelligent Systems. 9(3). 1243–1260. 2 indexed citations
15.
Kumar, G. Edwin Prem, et al.. (2016). A Comprehensive Review On The Impact Of Compressed Sensing In Wireless Sensor Networks. International Journal on Smart Sensing and Intelligent Systems. 9(2). 818–844. 8 indexed citations
16.
Lydia, M., S. Suresh Kumar, A. Immanuel Selvakumar, & G. Edwin Prem Kumar. (2016). Linear and non-linear autoregressive models for short-term wind speed forecasting. Energy Conversion and Management. 112. 115–124. 224 indexed citations
17.
Lydia, M., A. Immanuel Selvakumar, S. Suresh Kumar, & G. Edwin Prem Kumar. (2013). Advanced Algorithms for Wind Turbine Power Curve Modeling. IEEE Transactions on Sustainable Energy. 4(3). 827–835. 186 indexed citations
18.
Lydia, M., S. Suresh Kumar, A. Immanuel Selvakumar, & G. Edwin Prem Kumar. (2013). A comprehensive review on wind turbine power curve modeling techniques. Renewable and Sustainable Energy Reviews. 30. 452–460. 389 indexed citations breakdown →
19.
Raj, Milan, et al.. (2011). Modeling of wind turbine power curve. 144–148. 19 indexed citations
20.
Lydia, M., et al.. (2010). A comprehensive overview on wind power forecasting. 8. 268–273. 32 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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