S. Malathi

49 papers receiving 534 citations

Peers

S. Malathi
Comparison fields: 5 of 116
  • Signal Processing 60
  • Computer Vision and Pattern Recognition 93
  • Software 17
  • Materials Chemistry 187
  • Water Science and Technology 54
Replace S. Radhika with:
S. Radhika India
Jingju Liu China
R. Saravanan India
Meiling Chen China
Amit Sinha India
Yeon Soo Lee South Korea
Deepak Thakur India
Yong Cheng China
Yongquan Dong China
S. Malathi relative to S. Radhika India S. Radhika's profile →
Citations per field
00.5×4.5×
S. Radhika · 1×
Citations per year

Countries citing papers authored by S. Malathi

Since Specialization
Citations

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

Fields of papers citing papers by S. Malathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Malathi, 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. Malathi Line = papers co-authored together S. Malathi 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 2018148
2 201168
3 202240
4 201336
5 201022
6 202020
7 201818
8 201118
9 200617
10 201815
11 202113
12 201113
13 201010
14 201210
15 20239
16 20199
17 20219
18 20149
19 20198
20 20216

About S. Malathi

S. Malathi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Information Systems, Electrical and Electronic Engineering and Software, having authored 60 papers that have together received 584 indexed citations. Recurring topics across this work include Biometric Identification and Security (9 papers), Software Engineering Research (6 papers), Software Reliability and Analysis Research (6 papers), Brain Tumor Detection and Classification (4 papers), Software Engineering Techniques and Practices (4 papers), Face and Expression Recognition (3 papers), Gait Recognition and Analysis (3 papers) and Face recognition and analysis (3 papers). The work is most often cited by research in Signal Processing (60 citations), Computer Vision and Pattern Recognition (93 citations), Software (17 citations), Materials Chemistry (187 citations) and Water Science and Technology (54 citations). S. Malathi has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Palani Perumal, V. D. Ambeth Kumar, Vinod Kumar Gupta, Rajeev Jain, Tawfik A. Saleh, Arunima Nayak, Shilpi Agarwal, S. Balasubramanian, Sashank Sridhar and Manickam Dakshinamoorthi Balakumaran. Their work appears in journals such as Materials Advances, Separation Science and Technology, Sensors International, Knowledge-Based Systems and International Journal of Imaging Systems and Technology.

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