D. Shanthi

52 papers receiving 340 citations

Peers

D. Shanthi
Comparison fields: 5 of 100
  • Electronic, Optical and Magnetic Materials 155
  • Physical and Theoretical Chemistry 57
  • Health Information Management 17
  • Hardware and Architecture 23
  • Inorganic Chemistry 43
Replace Sebastian Steiner with:
Sebastian Steiner Austria
Arijit Saha India
Jong-Sung Lee South Korea
Masatomo Hashimoto Japan
Zhuangzhuang Chen China
G. Venkatesh India
S. V. Kasmir Raja India
C. R. Muthukrishnan India
Sidra Khan Pakistan
Guiquan Liu China
D. Shanthi relative to Sebastian Steiner Austria Sebastian Steiner's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Shanthi

Since Specialization
Citations

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

Fields of papers citing papers by D. Shanthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. Shanthi, 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 D. Shanthi Line = papers co-authored together D. Shanthi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201442
2 201540
3 202132
4 202127
5 201422
6 201319
7 202315
8 201715
9
Input Feature Selection using Hybrid Neuro-Genetic Approach in the Diagnosis of Stroke Disease
200815
10 202213
11 201110
12 202210
13 201110
14
An Intelligent Alzheimer’s Disease Prediction Using Convolutional Neural Network (CNN)
20209
15 20199
16 20157
17
Performance Evaluation Of Machine Learning Algorithm For Lung Cancer
20216
18 20216
19 20096
20 20174

About D. Shanthi

D. Shanthi is a scholar working on Artificial Intelligence, Electronic, Optical and Magnetic Materials, Organic Chemistry, Information Systems and Computational Theory and Mathematics, having authored 60 papers that have together received 373 indexed citations. Recurring topics across this work include Nonlinear Optical Materials Research (11 papers), Synthesis and biological activity (8 papers), Artificial Intelligence in Healthcare (6 papers), Neural Networks and Applications (6 papers), Crystal structures of chemical compounds (5 papers), Rough Sets and Fuzzy Logic (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (155 citations), Physical and Theoretical Chemistry (57 citations), Health Information Management (17 citations), Hardware and Architecture (23 citations) and Inorganic Chemistry (43 citations). D. Shanthi has collaborated with scholars based in India, Saudi Arabia and Nepal. Frequent co-authors include P. Selvarajan, S. Perumal, S. Muthu, R. Amutha, Ahmad Irfan, S. Ponmani, N. Saravanan, N. Kanagathara, G. B. Sahoo and Seshadhri Srinivasan. Their work appears in journals such as Journal of Molecular Liquids, Optik, Mobile Networks and Applications, Social Network Analysis and Mining and Applied Biochemistry and Biotechnology.

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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