Guna Seetharaman

4.7k total citations
139 papers, 2.1k citations indexed

About

Guna Seetharaman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Guna Seetharaman has authored 139 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 108 papers in Computer Vision and Pattern Recognition, 33 papers in Aerospace Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Guna Seetharaman's work include Advanced Vision and Imaging (35 papers), Video Surveillance and Tracking Methods (32 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Guna Seetharaman is often cited by papers focused on Advanced Vision and Imaging (35 papers), Video Surveillance and Tracking Methods (32 papers) and Advanced Image and Video Retrieval Techniques (28 papers). Guna Seetharaman collaborates with scholars based in United States, India and France. Guna Seetharaman's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Guna Seetharaman

132 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guna Seetharaman United States 24 1.5k 410 404 312 167 139 2.1k
P. J. Narayanan India 21 1.7k 1.1× 257 0.6× 310 0.8× 220 0.7× 250 1.5× 130 2.2k
Qiang Wang China 20 1.6k 1.1× 328 0.8× 339 0.8× 218 0.7× 106 0.6× 162 2.3k
Mongi A. Abidi United States 25 1.7k 1.1× 257 0.6× 591 1.5× 501 1.6× 100 0.6× 172 2.5k
Alexander G. Schwing United States 30 1.9k 1.3× 830 2.0× 340 0.8× 299 1.0× 144 0.9× 88 2.8k
Bumsub Ham South Korea 24 1.9k 1.3× 754 1.8× 232 0.6× 483 1.5× 343 2.1× 62 2.5k
Robert Laganière Canada 24 1.9k 1.3× 350 0.9× 759 1.9× 777 2.5× 55 0.3× 133 2.7k
Alexander Kirillov United States 15 1.7k 1.2× 664 1.6× 330 0.8× 237 0.8× 45 0.3× 22 2.6k
Georgios Tziritas Greece 26 2.2k 1.5× 480 1.2× 223 0.6× 332 1.1× 103 0.6× 73 2.9k
Sung‐Eui Yoon South Korea 32 2.1k 1.4× 202 0.5× 305 0.8× 124 0.4× 150 0.9× 148 2.7k
Reid Porter United States 14 1.3k 0.9× 288 0.7× 802 2.0× 247 0.8× 47 0.3× 52 1.8k

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
1.
Al-Shakarji, Noor, Ke Gao, Filiz Bunyak, et al.. (2021). Impact of Georegistration Accuracy on Wide Area Motion Imagery Object Detection and Tracking. 1–8. 2 indexed citations
2.
Gao, Ke, et al.. (2020). Local Feature Performance Evaluation for Structure-From-Motion and Multi-View Stereo Using Simulated City-Scale Aerial Imagery. IEEE Sensors Journal. 21(10). 11615–11627. 16 indexed citations
3.
Al-Shakarji, Noor, Filiz Bunyak, Hadi Aliakbarpour, Guna Seetharaman, & Kannappan Palaniappan. (2019). Multi-Cue Vehicle Detection for Semantic Video Compression in Georegistered Aerial Videos. arXiv (Cornell University). 56–65. 1 indexed citations
4.
Al-Shakarji, Noor, Filiz Bunyak, Guna Seetharaman, & Kannappan Palaniappan. (2018). Robust Multi-object Tracking for Wide Area Motion Imagery. 2. 1–5. 4 indexed citations
5.
Peng, Jing, Alexander Aved, Guna Seetharaman, & Kannappan Palaniappan. (2017). Multiview Boosting With Information Propagation for Classification. IEEE Transactions on Neural Networks and Learning Systems. 29(3). 657–669. 18 indexed citations
6.
Aliakbarpour, Hadi, João Filipe Ferreira, V. B. Surya Prasath, et al.. (2017). A Probabilistic Fusion Framework for 3-D Reconstruction Using Heterogeneous Sensors. IEEE Sensors Journal. 17(9). 2640–2641. 9 indexed citations
7.
Aliakbarpour, Hadi, et al.. (2015). Automatic Video Content Summarization Using Geospatial Mosaics of Aerial Imagery. 12 indexed citations
8.
Rajagopalan, A. N., et al.. (2014). Camouflaging Motion Blur. 2. 1–8. 1 indexed citations
9.
Liang, Pengpeng, Haibin Ling, Erik Blasch, et al.. (2013). Vehicle detection in wide area aerial surveillance using Temporal Context. International Conference on Information Fusion. 181–188. 27 indexed citations
10.
Punnappurath, Abhijith, A. N. Rajagopalan, & Guna Seetharaman. (2013). Registration and occlusion detection in motion blur. 2519–2523. 1 indexed citations
11.
Blasch, Erik, Jesús Garcı́a, Lauro Snidaro, et al.. (2013). Overview of contextual tracking approaches in information fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8747. 87470B–87470B. 16 indexed citations
12.
Pelapur, Rengarajan, Sema Candemir, Filiz Bunyak, et al.. (2012). Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. International Conference on Information Fusion. 2420–2427. 51 indexed citations
13.
Palaniappan, Kannappan, Ilker Ersoy, Guna Seetharaman, et al.. (2011). Parallel flux tensor analysis for efficient moving object detection. International Conference on Information Fusion. 1–8. 13 indexed citations
14.
Seetharaman, Guna, Michael L. Talbert, & Erik Blasch. (2007). Architectural Elements of Integrated Micro-Sensors for Distributed Sensor Networks. 157–165.
15.
Talbert, Michael L. & Guna Seetharaman. (2006). When sensor Webs start being taken seriously. 1. 200–207. 1 indexed citations
16.
Seetharaman, Guna, et al.. (2004). Accurate modeling of thin-film inductance for nano-chip. 2. 351–355. 2 indexed citations
17.
Chaudhuri, Subhasis, et al.. (2003). Content based image retrieval using optimum Peano scan. 4. 130–133. 6 indexed citations
18.
Seetharaman, Guna, et al.. (2002). Video-Assisted Global Positioning in Terrain Navigation: Hough Transform Solution..
19.
Chaudhuri, Subhasis, et al.. (2002). Content Based Image Retrieval Using Motif Cooccurence Matrix.. 8 indexed citations
20.
Seetharaman, Guna. (1994). Image sequence analysis for three-dimensional perception of dynamic scenes. 361–403. 9 indexed citations

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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