S. Ganesan

50 papers receiving 593 citations

Peers

S. Ganesan
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 458
  • Materials Chemistry 189
  • Renewable Energy, Sustainability and the Environment 108
  • Artificial Intelligence 81
  • Control and Systems Engineering 65
Replace Indranil Bhattacharya with:
Indranil Bhattacharya United States
Weinan Dong China
Xianke Sun China
Wei Dang China
Mohamed F. Kotb Egypt
Hua Meng China
Shenlong Wang Canada
Xiaoya Fan China
S. Ganesan relative to Indranil Bhattacharya United States Indranil Bhattacharya's profile →
Citations per field
00.5×2.9×
Indranil Bhattacharya · 1×
Citations per year

Countries citing papers authored by S. Ganesan

Since Specialization
Citations

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

Fields of papers citing papers by S. Ganesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ganesan

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ganesan. A scholar is included among the top collaborators of S. Ganesan 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 S. Ganesan. S. Ganesan 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
#WorkIndexed citations
1 5
2 24
3 17
4
Optimal Thermal Unit Commitment Solution integrating Renewable Energy with Generator Outage
2
5
Generation Scheduling with Large-Scale Wind Farms using Grey Wolf Optimization
1
6 25
7
Best Complex Power Settings Using Ant Lion Optimizer for Optimal Power Flow Problem
2
8 4
9 3
10 7
11 16
12 2
13 8
14 6
15 5
16
STUDY OF THICKNESS DEPENDENT CHARACTERICTICS OF Cu2S THIN FILM FOR VARIOUS APPLICATIONS
4
17 77
18 8
19 7
20 6

About S. Ganesan

S. Ganesan is a scholar working on Electrical and Electronic Engineering, Electrochemistry and Safety, Risk, Reliability and Quality, having authored 53 papers that have together received 632 indexed citations. Recurring topics across this work include Electric Power System Optimization (26 papers), Optimal Power Flow Distribution (17 papers) and Smart Grid Energy Management (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (458 citations), Energy Engineering and Power Technology (24 citations) and Renewable Energy, Sustainability and the Environment (108 citations). S. Ganesan has collaborated with scholars based in India, United States and Russia. Frequent co-authors include S. Subramanian, N. Ponpandian, S. Thangavel, C. Viswanathan, Chang‐Hee Hong, S. Chandramohan, Sudhagar Pitchaimuthu, Yong Soo Kang, R. Rajalakshmi and M. Ramya. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Applied Catalysis B: Environmental.

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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