S.R. Spea

1.1k citations
17 papers · 902 · 1 hit paper · h-index 11

Impact in

Papers in

S.R. Spea

16 papers receiving 823 citations

S.R. Spea's Hit Papers

Optimal power flow using differential evolution algorithm 2010 · 347 citations
3470+5+10Years since publication100200300

Peers

S.R. Spea
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 815
  • Control and Systems Engineering 291
  • Energy Engineering and Power Technology 38
  • Safety, Risk, Reliability and Quality 73
  • Artificial Intelligence 97
Replace L. Lakshminarasimman with:
L. Lakshminarasimman India
M. Sailaja Kumari India
K. Vaisakh India
Afshin Lashkar Ara Iran
Tanmoy Malakar India
H. T. Jadhav India
Sherif M. Ismael Egypt
Rohit Babu India
Xiaoli Meng China
M. Surya Kalavathi India
S.R. Spea relative to L. Lakshminarasimman India L. Lakshminarasimman's profile →
Citations per field
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L. Lakshminarasimman · 1×
Citations per year

Countries citing papers authored by S.R. Spea

Since Specialization
Citations

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

Fields of papers citing papers by S.R. Spea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.R. Spea. 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 S.R. Spea. The network helps show where S.R. Spea may publish in the future.

Co-authors

The 4 scholars most cited alongside S.R. Spea, 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 S.R. Spea Line = papers co-authored together S.R. Spea links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Optimal power flow using differential evolution algorithm
Hit paper breakdown →
2010347
2 2010250
3 2010108
4 200943
5 201630
6 200829
7 202015
8 202314
9 201913
10 200711
11 201710
12 201010
13 20249
14 20198
15 20253
16 20202
17 20240

About S.R. Spea

S.R. Spea is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Pollution, having authored 17 papers that have together received 902 indexed citations. Recurring topics across this work include Electric Power System Optimization (14 papers), Optimal Power Flow Distribution (11 papers), Microgrid Control and Optimization (6 papers), Smart Grid Energy Management (5 papers), Energy Load and Power Forecasting (3 papers), Power System Optimization and Stability (3 papers), Photovoltaic System Optimization Techniques (2 papers) and Power Systems and Renewable Energy (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (815 citations), Control and Systems Engineering (291 citations), Energy Engineering and Power Technology (38 citations), Safety, Risk, Reliability and Quality (73 citations) and Artificial Intelligence (97 citations). S.R. Spea has collaborated with scholars based in Egypt and Saudi Arabia. Frequent co-authors include Adel A. Abou El‐Ela, M. A. Abido, Abd El‐Shafy A. Nafeh and Faten H. Fahmy. Their work appears in journals such as Electric Power Systems Research, Neural Computing and Applications, Computers & Electrical Engineering, Electrical Engineering and SHILAP Revista de lepidopterología.

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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