K. Balasamy

1.2k citations
19 papers · 610 indexed · 1 hit paper · h-index 9
Topics
Advanced Steganography and Watermarking Techniques (8 papers)Chaos-based Image/Signal Encryption (7 papers)Digital Media Forensic Detection (6 papers)
Partner nations
IndiaThailandCanada

In The Last Decade

K. Balasamy

17 papers receiving 584 citations

Hit Papers

A review on deep learning in medical image analysis20212026202220242021100200300

Peers

K. Balasamy
Comparison fields: 5 of 97
  • Computer Vision and Pattern Recognition 265
  • Radiology, Nuclear Medicine and Imaging 177
  • Artificial Intelligence 162
  • Neurology 97
  • Biomedical Engineering 66
Replace S. Suganyadevi with:
S. Suganyadevi India
Marwa Obayya Saudi Arabia
Gongning Luo China
V. Seethalakshmi India
Chenchu Xu China
Yin Dai China
Xujing Yao United Kingdom
Basil Mustafa Switzerland
Najah Alsubaie Saudi Arabia
Seda Arslan Tuncer Türkiye
K. Balasamy relative to S. Suganyadevi India S. Suganyadevi's profile →
Citations per field
00.5×
S. Suganyadevi · 1×
Citations per year

Countries citing papers authored by K. Balasamy

Since Specialization
Citations

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

Fields of papers citing papers by K. Balasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Balasamy

This figure shows the co-authorship network connecting the top 25 collaborators of K. Balasamy. A scholar is included among the top collaborators of K. Balasamy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Balasamy. K. Balasamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 8
2 2
3 0
4 8
5 8
6 1
7 3
8 4
9 8
10 20
11 25
12
A review on deep learning in medical image analysisbreakdown →
340
13 16
14 37
15 72
16 41
17 1
18 10
19 6

About K. Balasamy

K. Balasamy is a scholar working on Neurology, Computer Vision and Pattern Recognition and Media Technology, having authored 19 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Digital Media Forensic Detection (6 papers). The work is most often cited by research in Health Informatics (24 citations), Computer Vision and Pattern Recognition (265 citations) and Neurology (97 citations). K. Balasamy has collaborated with scholars based in India, Thailand and Canada. Frequent co-authors include S. Suganyadevi, V. Seethalakshmi, S. Ramakrishnan, N. Krishnaraj and P. Balasubramanie. Their work appears in journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and Wireless Personal Communications.

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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