M. Pavithra

50 papers receiving 263 citations

Peers

M. Pavithra
Comparison fields: 5 of 102
  • Health Information Management 13
  • Biomedical Engineering 103
  • Materials Chemistry 70
  • Geometry and Topology 11
  • Computational Theory and Mathematics 16
Replace Xianchuan Wang with:
Xianchuan Wang China
Walker H. Land United States
P. Balamurugan India
Manisha Guduri India
Giorgos Borboudakis Greece
Abdelatty Abdelgawad Saudi Arabia
Aleksandra Kłos-Witkowska Poland
Junhua Ding United States
M. Pavithra relative to Xianchuan Wang China Xianchuan Wang's profile →
Citations per field
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Xianchuan Wang · 1×
Citations per year

Countries citing papers authored by M. Pavithra

Since Specialization
Citations

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

Fields of papers citing papers by M. Pavithra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201756
2 201842
3 201819
4 201919
5 201916
6 202012
7 20228
8 20207
9 20217
10
Effective Heart Disease Prediction Systems Using Data Mining Techniques
20216
11 20146
12 20225
13 20195
14 20195
15 20195
16
Machine Learning Technique for the Assembly-Based Image Classification System
20214
17
Weed management in direct seeded rice Impact of biotic constraint and its sustainable management options
20213
18
Nitrogen and sulphur nutrition for enhancing the growth and yield of quality protein maize (QPM)
20183
19 20233
20 20203

About M. Pavithra

M. Pavithra is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computational Theory and Mathematics, Materials Chemistry and Geometry and Topology, having authored 61 papers that have together received 278 indexed citations. Recurring topics across this work include Graph theory and applications (6 papers), Artificial Intelligence in Healthcare (5 papers), Advanced Graph Theory Research (4 papers), Metamaterials and Metasurfaces Applications (3 papers), Complex Network Analysis Techniques (3 papers), Advanced Clustering Algorithms Research (3 papers), Luminescence and Fluorescent Materials (3 papers) and Fuzzy and Soft Set Theory (3 papers). The work is most often cited by research in Health Information Management (13 citations), Biomedical Engineering (103 citations), Materials Chemistry (70 citations), Geometry and Topology (11 citations) and Computational Theory and Mathematics (16 citations). M. Pavithra has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include C. Parthiban, S. Muruganand, Dwaipayan Sen, N. D. Pradeep Singh, L. Vinod Kumar Reddy, K. Saruladha, B. T. Geetha, K. Ganesan, S. Jayalakshmi and Ambuj Kumar Agarwal. Their work appears in journals such as ACS Applied Nano Materials, Indian Journal of Science and Technology, Organic & Biomolecular Chemistry, RSC Advances and Sensors and Actuators B Chemical.

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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