M. Lydia

28 papers receiving 1.1k citations

M. Lydia's Hit Papers

A comprehensive review on wind turbine power curve modeling techniques 2013 · 411 citations
4110+4+8Years since publication100200300400

Peers

M. Lydia
Comparison fields: 5 of 71
  • Energy Engineering and Power Technology 85
  • Aerospace Engineering 448
  • Electrical and Electronic Engineering 867
  • Control and Systems Engineering 284
  • Environmental Engineering 132
Replace G. Edwin Prem Kumar with:
G. Edwin Prem Kumar India
S. Suresh Kumar India
Runmin Zou China
Huan Long China
Daniel Villanueva Spain
Majid Jamil India
Lei Dong China
Peng Guo China
Kurt Rohrig Germany
Yongning Zhao China
M. Lydia relative to G. Edwin Prem Kumar India G. Edwin Prem Kumar's profile →
Citations per field
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G. Edwin Prem Kumar · 1×
Citations per year

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-authors

The 9 scholars most cited alongside M. Lydia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lydia Line = papers co-authored together M. Lydia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A comprehensive review on wind turbine power curve modeling techniques
Hit paper breakdown →
2013411
2 2016236
3 2013197
4 201852
5 201549
6 201033
7 201922
8 201120
9 201919
10 202212
11 201712
12 201910
13 20168
14 20248
15 20208
16 20188
17 20218
18 20208
19 20166
20 20204

About M. Lydia

M. Lydia is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering and Information Systems, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (14 papers), Wind Energy Research and Development (9 papers), Energy Efficient Wireless Sensor Networks (5 papers), Electric Power System Optimization (5 papers), Smart Grid Security and Resilience (5 papers), Wind Turbine Control Systems (4 papers), Solar Radiation and Photovoltaics (4 papers) and Security in Wireless Sensor Networks (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (85 citations), Aerospace Engineering (448 citations), Electrical and Electronic Engineering (867 citations), Control and Systems Engineering (284 citations) and Environmental Engineering (132 citations). M. Lydia has collaborated with scholars based in India, Israel and Nepal. Frequent co-authors include G. Edwin Prem Kumar, A. Immanuel Selvakumar, S. Suresh Kumar, Elijah Blessing Rajsingh, K. Baskaran, Yoash Levron, Milan Raj, R. Meenal and J. Jayakumar. Their work appears in journals such as International Journal of Bio-Inspired Computation, Energy Conversion and Management, Energy & Environment, Computers & Electrical Engineering and Renewable and Sustainable Energy Reviews.

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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