S. T. Suganthi

801 citations
31 papers · 483 indexed · h-index 10
Topics
Optimal Power Flow Distribution (6 papers)Microgrid Control and Optimization (6 papers)Electric Power System Optimization (6 papers)
Journals
SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsMeasurement
Partner nations
IndiaIraqMalaysia

In The Last Decade

S. T. Suganthi

27 papers receiving 438 citations

Peers

S. T. Suganthi
Comparison fields: 5 of 97
  • Environmental Engineering 139
  • Electrical and Electronic Engineering 133
  • Artificial Intelligence 100
  • Global and Planetary Change 88
  • Water Science and Technology 71
Replace Jun Zhai with:
Jun Zhai United States
Md. Saikat Islam Khan Bangladesh
Tao Qin China
Pengyuan Liu China
Nouar AlDahoul Malaysia
Farshad Rezaei Iran
Fei Xie China
Cheng Ji China
Wesley Pacheco Calixto Brazil
Lianghai Jin China
S. T. Suganthi relative to Jun Zhai United States Jun Zhai's profile →
Citations per field
00.5×6.8×
Jun Zhai · 1×
Citations per year

Countries citing papers authored by S. T. Suganthi

Since Specialization
Citations

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

Fields of papers citing papers by S. T. Suganthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. T. Suganthi

This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Suganthi. A scholar is included among the top collaborators of S. T. Suganthi 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. T. Suganthi. S. T. Suganthi 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 0
2 0
3 19
4 0
5 3
6 3
7 1
8 3
9 5
10 62
11 15
12 2
13 1
14 117
15 1
16 3
17 4
18 5
19 3
20
Groundwater potential zonation by Remote Sensing and GIS techniques and its relation to the Groundwater level in the Coastal part of the Arani and Koratalai River Basin, Southern India
65

About S. T. Suganthi

S. T. Suganthi is a scholar working on Control and Systems Engineering, Automotive Engineering and Energy Engineering and Power Technology, having authored 31 papers that have together received 483 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (6 papers), Microgrid Control and Optimization (6 papers) and Electric Power System Optimization (6 papers). The work is most often cited by research in Environmental Engineering (139 citations), Geochemistry and Petrology (40 citations) and Water Science and Technology (71 citations). S. T. Suganthi has collaborated with scholars based in India, Iraq and Malaysia. Frequent co-authors include L. Elango, S. Subramanian, Sanjeevi Pandiyan, D. Devaraj, B. Saravana Balaji, V. Krishna Kumar, G. Kanagaraj, N.S. Magesh, Arangarajan Vinayagam and Veerapandiyan Veerasamy. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Measurement.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026