Latha Parameswaran

811 citations
32 papers · 358 indexed · h-index 10
Topics
Video Surveillance and Tracking Methods (7 papers)Image and Signal Denoising Methods (5 papers)IoT-based Smart Home Systems (5 papers)
Partner nations
India

In The Last Decade

Latha Parameswaran

30 papers receiving 322 citations

Peers

Latha Parameswaran
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 163
  • Artificial Intelligence 84
  • Civil and Structural Engineering 79
  • Media Technology 73
  • Information Systems 31
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Citations per field
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Citations per year

Countries citing papers authored by Latha Parameswaran

Since Specialization
Citations

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

Fields of papers citing papers by Latha Parameswaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Latha Parameswaran

This figure shows the co-authorship network connecting the top 25 collaborators of Latha Parameswaran. A scholar is included among the top collaborators of Latha Parameswaran 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 Latha Parameswaran. Latha Parameswaran 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 2
2 13
3 12
4 4
5 19
6
A novel method for buyer-seller authentication using blockchain technology
1
7 4
8 12
9 57
10
A survey on context based image annotation techniques
1
11
Performance Evaluation of Topic Modelling Algorithms with an application of Q A Dataset
3
12
Performance Evaluation of Algorithms for Expert finding on an Open Email dataset
1
13
Context Based Image Retrieval using Image Features
4
14
Image Reconstruction from 2D stack of MRI/CT to 3D using Shapelets
2
15 30
16 3
17
Content-Based Watermarking for Image Authentication Using Independent Component Analysis
10
18 3
19
Content dependent image signature for authentication using wavelets
6
20
Quadtrees-based image authentication
0

About Latha Parameswaran

Latha Parameswaran is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Science Applications, having authored 32 papers that have together received 358 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (7 papers), Image and Signal Denoising Methods (5 papers) and IoT-based Smart Home Systems (5 papers). The work is most often cited by research in Media Technology (73 citations), Computer Vision and Pattern Recognition (163 citations) and Civil and Structural Engineering (79 citations). Latha Parameswaran has collaborated with scholars based in India. Frequent co-authors include R. Karthika, Senthil Kumar Thangavel, Prasanna Sridhar, O.V. Ramana Murthy and C. Shunmuga Velayutham. Their work appears in journals such as Scientific Reports, IEEE Sensors Journal and The Journal of Supercomputing.

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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