Guna Seetharaman

132 papers receiving 2.0k citations

Peers

Guna Seetharaman
Comparison fields: 5 of 108
  • Computer Vision and Pattern Recognition 1.5k
  • Artificial Intelligence 410
  • Aerospace Engineering 404
  • Media Technology 312
  • Computer Networks and Communications 167
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Citations per year

Countries citing papers authored by Guna Seetharaman

Since Specialization
Citations

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

Fields of papers citing papers by Guna Seetharaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guna Seetharaman

This figure shows the co-authorship network connecting the top 25 collaborators of Guna Seetharaman. A scholar is included among the top collaborators of Guna Seetharaman 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 Guna Seetharaman. Guna Seetharaman 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 6
2 34
3 2
4 16
5
Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos
1
6 3
7 18
8 12
9
Vehicle detection in wide area aerial surveillance using Temporal Context
27
10 6
11 1
12
Persistent target tracking using likelihood fusion in wide-area and full motion video sequences
51
13
Parallel flux tensor analysis for efficient moving object detection
13
14 15
15
Architectural Elements of Integrated Micro-Sensors for Distributed Sensor Networks
0
16 1
17 2
18
Content Based Image Retrieval Using Motif Cooccurence Matrix.
8
19
Video-Assisted Global Positioning in Terrain Navigation: Hough Transform Solution.
0
20
Image sequence analysis for three-dimensional perception of dynamic scenes
9

About Guna Seetharaman

Guna Seetharaman is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering, having authored 139 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (35 papers), Video Surveillance and Tracking Methods (32 papers) and Advanced Image and Video Retrieval Techniques (28 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Media Technology (312 citations) and Aerospace Engineering (404 citations). Guna Seetharaman has collaborated with scholars based in United States, India and France. Frequent co-authors include Kannappan Palaniappan, Filiz Bunyak, Erik Blasch, Bertrand Zavidovique, Syomantak Chaudhuri, Hadi Aliakbarpour, Rui Wang, Adel Hafiane, Arun Lakhotia and V. B. Surya Prasath. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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