Harpreet Sawhney

11.8k total citations · 2 hit papers
113 papers, 6.3k citations indexed

About

Harpreet Sawhney is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Signal Processing. According to data from OpenAlex, Harpreet Sawhney has authored 113 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Computer Vision and Pattern Recognition, 33 papers in Aerospace Engineering and 12 papers in Signal Processing. Recurrent topics in Harpreet Sawhney's work include Advanced Vision and Imaging (54 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Robotics and Sensor-Based Localization (32 papers). Harpreet Sawhney is often cited by papers focused on Advanced Vision and Imaging (54 papers), Advanced Image and Video Retrieval Techniques (40 papers) and Robotics and Sensor-Based Localization (32 papers). Harpreet Sawhney collaborates with scholars based in United States, Switzerland and Israel. Harpreet Sawhney's co-authors include Raman Kumar, Myron Flickner, John W. Hafner, W. Niblack, Steven K. Ayer, M. Gorkani, David A. Steele, J. Ashley, Byron Dom and D. Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and International Journal of Computer Vision.

In The Last Decade

Harpreet Sawhney

110 papers receiving 5.6k citations

Hit Papers

Query by image and video content: the QBIC system 1995 2026 2005 2015 1995 1995 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harpreet Sawhney United States 33 5.3k 926 877 710 582 113 6.3k
Wei Jiang China 36 3.6k 0.7× 799 0.9× 388 0.4× 1.3k 1.8× 420 0.7× 220 5.4k
Rae‐Hong Park South Korea 31 3.1k 0.6× 791 0.9× 368 0.4× 292 0.4× 792 1.4× 274 3.8k
M.G. Strintzis Greece 37 3.4k 0.6× 984 1.1× 247 0.3× 490 0.7× 331 0.6× 278 4.6k
Bruce A. Draper United States 30 4.3k 0.8× 835 0.9× 925 1.1× 678 1.0× 369 0.6× 124 5.5k
Marius Muja Canada 8 2.2k 0.4× 233 0.3× 1.1k 1.3× 478 0.7× 213 0.4× 10 3.0k
P. Anandan India 19 3.1k 0.6× 208 0.2× 545 0.6× 360 0.5× 438 0.8× 59 3.8k
Sang Uk Lee South Korea 24 2.1k 0.4× 470 0.5× 387 0.4× 207 0.3× 329 0.6× 167 2.8k
J. Ross Beveridge United States 29 4.2k 0.8× 814 0.9× 1.0k 1.2× 520 0.7× 324 0.6× 114 5.0k
François Fleuret Switzerland 29 3.2k 0.6× 224 0.2× 504 0.6× 1.5k 2.1× 207 0.4× 93 4.3k
Ling‐Yu Duan China 47 6.8k 1.3× 836 0.9× 384 0.4× 2.0k 2.8× 747 1.3× 241 7.8k

Countries citing papers authored by Harpreet Sawhney

Since Specialization
Citations

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

Fields of papers citing papers by Harpreet Sawhney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harpreet Sawhney

This figure shows the co-authorship network connecting the top 25 collaborators of Harpreet Sawhney. A scholar is included among the top collaborators of Harpreet Sawhney 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 Harpreet Sawhney. Harpreet Sawhney 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.
Zia, M. Zeeshan, Bugra Tekin, Federica Bogo, et al.. (2019). Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition. arXiv (Cornell University). 17 indexed citations
2.
Liu, Jingen, Hui Cheng, Omar Javed, et al.. (2013). SRI-Sarnoff AURORA System at TRECVID 2013 Multimedia Event Detection and Recounting.. TRECVID. 5 indexed citations
3.
Bansal, Mayank, Mikhail Sizintsev, Jayan Eledath, et al.. (2013). 3D optic disc reconstruction via a global fundus stereo algorithm. PubMed. 7624. 5877–5882. 4 indexed citations
4.
Wang, Lu, Vinutha Kallem, Mayank Bansal, et al.. (2013). Interactive Retinal Vessel Extraction by Integrating Vessel Tracing and Graph Search. Lecture notes in computer science. 16(Pt 2). 567–574. 15 indexed citations
5.
Cheng, Hui, Jingen Liu, Saad Ali, et al.. (2012). SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.. Journal of International Crisis and Risk Communication Research. 14 indexed citations
6.
Eledath, Jayan, et al.. (2012). Layered Object Recognition System for Pedestrian Sensing. Rosa P: A digital library for transportation research (United States Department of Transportation).
7.
Khan, Saad, Ajay Divakaran, & Harpreet Sawhney. (2010). Weapon identification across varying acoustic conditions using an exemplar embedding approach. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7666. 76662B–76662B. 3 indexed citations
8.
Bansal, Mayank, Sujit Kuthirummal, Jayan Eledath, Harpreet Sawhney, & Richard A. Stone. (2010). Automatic blood vessel localization in small field of view eye images. PubMed. 2010. 5644–5648. 3 indexed citations
9.
Guo, Yanlin, Ying Shan, Harpreet Sawhney, & Rakesh Kumar. (2007). PEET: Prototype Embedding and Embedding Transition for Matching Vehicles over Disparate Viewpoints. 10. 1–8. 21 indexed citations
10.
Xiao, Jiao, et al.. (2006). Bilateral filtering-based optical flow estimation with occlusion detection.
11.
Shan, Ying, et al.. (2006). Shapeme histogram projection and matching for partial object recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(4). 568–577. 30 indexed citations
12.
Sawhney, Harpreet, Steven K. Ayer, & M. Gorkani. (2002). Model-based 2D&3D dominant motion estimation for mosaicing and video representation. 583–590. 54 indexed citations
13.
Pope, Art, et al.. (2002). Video abstraction: summarizing video content for retrieval and visualization. 1. 915–919. 19 indexed citations
14.
Sawhney, Harpreet & Allen R. Hanson. (2002). Identification and 3D description of 'shallow' environmental structure in a sequence of images. 12. 179–185. 10 indexed citations
15.
Sawhney, Harpreet, et al.. (2002). Terrain reconstruction for ground and underwater robots. 1. 879–884. 3 indexed citations
16.
Sawhney, Harpreet, Steven K. Ayer, & M. Gorkani. (2002). Dominant and multiple motion estimation for video representation. Proceedings - International Conference on Image Processing. 1. 322–325. 2 indexed citations
17.
Tao, Hai, Harpreet Sawhney, & Raman Kumar. (2002). Dynamic layer representation with applications to tracking. 2. 134–141. 60 indexed citations
18.
Agrawal, Rakesh, King-Ip Lin, Harpreet Sawhney, & Kyuseok Shim. (1995). Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. Very Large Data Bases. 490–501. 409 indexed citations
19.
Hafner, John W., Harpreet Sawhney, W. Equitz, Myron Flickner, & W. Niblack. (1995). Efficient color histogram indexing for quadratic form distance functions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17(7). 729–736. 543 indexed citations breakdown →
20.
Sawhney, Harpreet & J. Oliensis. (1989). Image Description and 3D Interpretation From Image Trajectories Under. 1 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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