S. Himavathi

1.0k citations
49 papers · 706 · h-index 12

Impact in

Papers in

S. Himavathi

46 papers receiving 588 citations

Peers

S. Himavathi
Comparison fields: 5 of 71
  • Media Technology 139
  • Computer Vision and Pattern Recognition 218
  • Control and Systems Engineering 170
  • Artificial Intelligence 225
  • Electrical and Electronic Engineering 324
Replace Rami J. Haddad with:
Rami J. Haddad United States
Fanny Spagnolo Italy
Dongguo Zhou China
Javier Echanobe Spain
Kuan Wang China
Young-Sik Choi South Korea
Ridha Bouallègue Tunisia
Eyüp Gedіklі Türkiye
Guihe Qin China
S. Himavathi relative to Rami J. Haddad United States Rami J. Haddad's profile →
Citations per field
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Rami J. Haddad · 1×
Citations per year

Countries citing papers authored by S. Himavathi

Since Specialization
Citations

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

Fields of papers citing papers by S. Himavathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside S. Himavathi, 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. Himavathi Line = papers co-authored together S. Himavathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007145
2
DIAGONAL BASED FEATURE EXTRACTION FOR HANDWRITTEN ALPHABETS RECOGNITION SYSTEM USING NEURAL NETWORK
201184
3 200872
4 201144
5 201141
6 201827
7 201526
8 201619
9 200618
10 200116
11 201015
12 201214
13 201511
14 201611
15 200610
16 202010
17 20129
18 20119
19 20178
20 20138

About S. Himavathi

S. Himavathi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Media Technology, having authored 49 papers that have together received 706 indexed citations. Recurring topics across this work include Sensorless Control of Electric Motors (19 papers), Multilevel Inverters and Converters (12 papers), Electric Motor Design and Analysis (12 papers), Neural Networks and Applications (9 papers), Photovoltaic System Optimization Techniques (7 papers), Handwritten Text Recognition Techniques (6 papers), Image Processing and 3D Reconstruction (6 papers) and Vehicle License Plate Recognition (5 papers). The work is most often cited by research in Media Technology (139 citations), Computer Vision and Pattern Recognition (218 citations), Control and Systems Engineering (170 citations), Artificial Intelligence (225 citations) and Electrical and Electronic Engineering (324 citations). S. Himavathi has collaborated with scholars based in India and Denmark. Frequent co-authors include A. Muthuramalingam, E. Srinivasan, A. Chitra, B. Umamaheswari, M. Balaji, Jens Bo Holm‐Nielsen and Sanjeevikumar Padmanaban. Their work appears in journals such as IET Electric Power Applications, IET Power Electronics, IET Generation Transmission & Distribution, Neural Computing and Applications and Renewable Energy.

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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