Vijayan K. Asari

10.1k citations
283 papers · 5.5k indexed · 4 hit papers · h-index 28

Vijayan K. Asari

264 papers receiving 5.3k citations

Hit Papers

A State-of-the-Art Survey on Deep Learning Theory and Arc...201820262020202320192018201920222505007501000

Peers

Vijayan K. Asari
Comparison fields: 5 of 185
  • Computer Vision and Pattern Recognition 3.0k
  • Artificial Intelligence 1.3k
  • Radiology, Nuclear Medicine and Imaging 997
  • Media Technology 686
  • Biomedical Engineering 450
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Mads Nielsen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Vijayan K. Asari

Since Specialization
Citations

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

Fields of papers citing papers by Vijayan K. Asari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijayan K. Asari

This figure shows the co-authorship network connecting the top 25 collaborators of Vijayan K. Asari. A scholar is included among the top collaborators of Vijayan K. Asari 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 Vijayan K. Asari. Vijayan K. Asari 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 1
2 1
3 14
4 0
5 8
6 1
7 20
8 25
9 12
10 1
11 58
12
Automated Alpine Glacier Mapping Using Deep Learning Approach
1
13
Mapping Himalayan and Karakoram Glaciers using Deep Learning Approach
1
14
Automatic pipeline threat detection by aerial surveillance
0
15
Wide Area Surveillance: Real-time Motion Detection Systems
4
16
UAS Exploitation by 3D Reconstruction Using Monocular Vision
3
17 10
18
A Robust Face Authentication Technique Based on Composite PCA Method.
0
19
Modular architecture for Hopfield network and distance based training algorithm for pattern association
2
20
A Hardware Efficient Technique for Rapid Lumen Segmentation from Endoscopic Images.
1

About Vijayan K. Asari

Vijayan K. Asari is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 283 papers that have together received 5.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (48 papers), Advanced Vision and Imaging (43 papers) and Video Surveillance and Tracking Methods (42 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Media Technology (686 citations) and Radiology, Nuclear Medicine and Imaging (997 citations). Vijayan K. Asari has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha, Rajkiran Gottumukkal, Paheding Sidike, Mst Shamima Nasrin, Ming–Jung Seow, Tarek M. Taha, Mahmudul Hasan and Abdul Ahad S. Awwal. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.

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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