S. Suchitra

701 citations
43 papers · 398 · h-index 11

Impact in

Papers in

S. Suchitra

38 papers receiving 349 citations

Peers

S. Suchitra
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 110
  • Analytical Chemistry 50
  • Plant Science 129
  • Automotive Engineering 41
  • Media Technology 29
Replace Zhenyu Zhong with:
Zhenyu Zhong China
Jiaming Qi China
Yunpeng Zhang China
Trung‐Kien Dao Vietnam
A C Ramachandra India
Weikang Gu China
Laha Ale China
José Naranjo-Torres Chile
Md. Tarek Habib Bangladesh
A. Srikaew Thailand
S. Suchitra relative to Zhenyu Zhong China Zhenyu Zhong's profile →
Citations per field
00.5×
Zhenyu Zhong · 1×
Citations per year

Countries citing papers authored by S. Suchitra

Since Specialization
Citations

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

Fields of papers citing papers by S. Suchitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside S. Suchitra, 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. Suchitra Line = papers co-authored together S. Suchitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020131
2 200837
3 202227
4 201921
5 200818
6 202017
7 201216
8 201913
9 201811
10 202410
11 201210
12 20209
13 20138
14 20126
15 20196
16 20095
17 20065
18 20194
19 20054
20 20144

About S. Suchitra

S. Suchitra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Automotive Engineering, having authored 43 papers that have together received 398 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Face and Expression Recognition (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Numerical Methods and Algorithms (4 papers), IoT-based Smart Home Systems (4 papers), IoT and GPS-based Vehicle Safety Systems (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (110 citations), Analytical Chemistry (50 citations), Plant Science (129 citations), Automotive Engineering (41 citations) and Media Technology (29 citations). S. Suchitra has collaborated with scholars based in India, Singapore and United Kingdom. Frequent co-authors include Thambipillai Srikanthan, Ravi Kumar Satzoda, S. Sophia, K. Vijayakumar, Lalitha Krishnasamy, Marco Leo, Nitish Pathak, Shabana Urooj, Neelam Sharma and Siew-Kei Lam. Their work appears in journals such as Multimedia Tools and Applications, Brazilian Archives of Biology and Technology, International Journal of Infectious Diseases, Soft Computing and IEEE Access.

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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