V. Seethalakshmi

885 citations
22 papers · 472 indexed · 1 hit paper · h-index 8
Topics
AI in cancer detection (5 papers)Internet Traffic Analysis and Secure E-voting (5 papers)COVID-19 diagnosis using AI (5 papers)
Partner nations
IndiaMoroccoThailand

In The Last Decade

V. Seethalakshmi

19 papers receiving 440 citations

Hit Papers

A review on deep learning in medical image analysis20212026202220242021100200300

Peers

V. Seethalakshmi
Comparison fields: 5 of 97
  • Artificial Intelligence 165
  • Radiology, Nuclear Medicine and Imaging 142
  • Computer Vision and Pattern Recognition 118
  • Biomedical Engineering 67
  • Neurology 61
Replace S. Suganyadevi with:
S. Suganyadevi India
K. Balasamy India
Najah Alsubaie Saudi Arabia
Ahmad Waleed Salehi India
Tae‐Seong Kim South Korea
L. Jani Anbarasi India
Haseeb Hassan China
S. Padmapriya India
Shoaib Azmat Pakistan
Jahanzaib Latif China
V. Seethalakshmi relative to S. Suganyadevi India S. Suganyadevi's profile →
Citations per field
00.5×1.5×
S. Suganyadevi · 1×
Citations per year

Countries citing papers authored by V. Seethalakshmi

Since Specialization
Citations

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

Fields of papers citing papers by V. Seethalakshmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Seethalakshmi

This figure shows the co-authorship network connecting the top 25 collaborators of V. Seethalakshmi. A scholar is included among the top collaborators of V. Seethalakshmi 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 V. Seethalakshmi. V. Seethalakshmi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 8
5 0
6 2
7 1
8 3
9 7
10 12
11 28
12 13
13 3
14 2
15
A review on deep learning in medical image analysisbreakdown →
340
16 9
17 20
18 0
19 14
20 2

About V. Seethalakshmi

V. Seethalakshmi is a scholar working on Neurology, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 472 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (25 citations), Neurology (61 citations) and Radiology, Nuclear Medicine and Imaging (142 citations). V. Seethalakshmi has collaborated with scholars based in India, Morocco and Thailand. Frequent co-authors include S. Suganyadevi, K. Balasamy, N. Krishnaraj, S. Ramesh, Rachana V Prabhu, P. Anandan, B. Praveen, Rajesh Kumar Dhanaraj and Mariya Ouaissa. Their work appears in journals such as Scientific Reports, Medical & Biological Engineering & Computing 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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