Lakshman Prasad

960 total citations
46 papers, 456 citations indexed

About

Lakshman Prasad is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Lakshman Prasad has authored 46 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Networks and Communications and 10 papers in Aerospace Engineering. Recurrent topics in Lakshman Prasad's work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Lakshman Prasad is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Medical Image Segmentation Techniques (7 papers). Lakshman Prasad collaborates with scholars based in United States, India and Australia. Lakshman Prasad's co-authors include Longin Jan Latecki, Xing‐Wei Yang, R.L. Kashyap, S. Sitharama Iyengar, Sriram Swaminarayan, S. S. Iyengar, Rabinder N. Madan, Hong Min, B. R. Schlei and David Coblentz and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and The Analyst.

In The Last Decade

Lakshman Prasad

43 papers receiving 438 citations

Peers

Lakshman Prasad
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 201
  • Computer Networks and Communications 99
  • Artificial Intelligence 95
  • Media Technology 49
  • Ecology 35
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Xiyan Sun China
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Xudong Lai China
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Citations per field, relative to Lakshman Prasad
Lakshman Prasad · 1×
Citations per year, relative to Lakshman Prasad
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Countries citing papers authored by Lakshman Prasad

Since Specialization
Citations

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

Fields of papers citing papers by Lakshman Prasad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lakshman Prasad

This figure shows the co-authorship network connecting the top 25 collaborators of Lakshman Prasad. A scholar is included among the top collaborators of Lakshman Prasad 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 Lakshman Prasad. Lakshman Prasad 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
# Work Indexed citations
1 4
2 1
3
Moving Point Source Detection and Localization in Wide-Field Images
3
4 1
5 13
6 123
7 6
8 1
9 22
10 1
11
Electro-magnetic compatibility for electro-optic sensors
0
12 9
13 3
14 2
15 2
16
Advances in Distributed Sensor Integration; Application and Theory
23
17 22
18 1
19 2
20
A general computational framework for distributed sensing and fault-tolerant sensor integration
1

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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