Harish Bhaskar

1.3k total citations
62 papers, 929 citations indexed

About

Harish Bhaskar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Harish Bhaskar has authored 62 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Media Technology. Recurrent topics in Harish Bhaskar's work include Video Surveillance and Tracking Methods (31 papers), Infrared Target Detection Methodologies (12 papers) and Anomaly Detection Techniques and Applications (10 papers). Harish Bhaskar is often cited by papers focused on Video Surveillance and Tracking Methods (31 papers), Infrared Target Detection Methodologies (12 papers) and Anomaly Detection Techniques and Applications (10 papers). Harish Bhaskar collaborates with scholars based in United Arab Emirates, United Kingdom and India. Harish Bhaskar's co-authors include Mohammed Al-Mualla, Jie Yang, Tao Zhou, M. Sami Zitouni, Changqing Zhang, Lyudmila Mihaylova, Sameer Singh, Xi Peng, David C. Hoyle and Jorge Dias and has published in prestigious journals such as ACM Computing Surveys, International Journal of Remote Sensing and IEEE Transactions on Cybernetics.

In The Last Decade

Harish Bhaskar

59 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harish Bhaskar United Arab Emirates 16 649 307 178 64 51 62 929
Sergey Ablameyko Belarus 12 568 0.9× 207 0.7× 92 0.5× 44 0.7× 41 0.8× 129 955
Shiming Xiang China 7 668 1.0× 261 0.9× 363 2.0× 79 1.2× 39 0.8× 14 1.0k
Yaping Huang China 19 607 0.9× 266 0.9× 193 1.1× 48 0.8× 16 0.3× 92 1.2k
Zhen Zuo China 14 478 0.7× 231 0.8× 113 0.6× 79 1.2× 33 0.6× 41 849
Cuihua Li China 19 921 1.4× 182 0.6× 327 1.8× 40 0.6× 38 0.7× 96 1.4k
Mulin Chen China 16 782 1.2× 481 1.6× 309 1.7× 47 0.7× 33 0.6× 41 1.1k
Yanwen Chong China 18 473 0.7× 230 0.7× 338 1.9× 39 0.6× 56 1.1× 54 906
Claudia Loy United Kingdom 3 625 1.0× 244 0.8× 97 0.5× 78 1.2× 28 0.5× 4 979
Antoine Vacavant France 12 625 1.0× 153 0.5× 99 0.6× 85 1.3× 32 0.6× 44 985
Jia Wan China 18 831 1.3× 576 1.9× 131 0.7× 35 0.5× 48 0.9× 29 1.2k

Countries citing papers authored by Harish Bhaskar

Since Specialization
Citations

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

Fields of papers citing papers by Harish Bhaskar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harish Bhaskar

This figure shows the co-authorship network connecting the top 25 collaborators of Harish Bhaskar. A scholar is included among the top collaborators of Harish Bhaskar 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 Harish Bhaskar. Harish Bhaskar 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.
Zitouni, M. Sami, Andrzej Śluzek, & Harish Bhaskar. (2019). Towards understanding socio-cognitive behaviors of crowds from visual surveillance data. Multimedia Tools and Applications. 79(3-4). 1781–1799. 10 indexed citations
2.
Dogra, Debi Prosad, et al.. (2017). Motion anomaly detection and trajectory analysis in visual surveillance. Multimedia Tools and Applications. 77(13). 16223–16248. 5 indexed citations
3.
Aburaed, Nour, Faisal Shah Khan, & Harish Bhaskar. (2017). Advances in the Quantum Theoretical Approach to Image Processing Applications. ACM Computing Surveys. 49(4). 1–49. 29 indexed citations
4.
Psannis, Kostas E., et al.. (2017). Special section on emerging multimedia technology for smart surveillance system with IoT environment. The Journal of Supercomputing. 73(3). 923–925. 10 indexed citations
5.
Zhou, Tao, Fanghui Liu, Harish Bhaskar, et al.. (2017). Online discriminative dictionary learning for robust object tracking. Neurocomputing. 275. 1801–1812. 11 indexed citations
6.
Dogra, Debi Prosad, et al.. (2016). Localization of region of interest in surveillance scene. Multimedia Tools and Applications. 76(11). 13651–13680. 7 indexed citations
7.
Zhou, Tao, Harish Bhaskar, Fanghui Liu, Jie Yang, & Ping Cai. (2016). Online learning and joint optimization of combined spatial-temporal models for robust visual tracking. Neurocomputing. 226. 221–237. 10 indexed citations
8.
Dey, Prasenjit, Debi Prosad Dogra, Partha Pratim Roy, & Harish Bhaskar. (2016). Autonomous vision-guided approach for the analysis and grading of vertical suspension tests during Hammersmith Infant Neurological Examination (HINE). PubMed. 9. 863–866. 3 indexed citations
9.
Zitouni, M. Sami, Jorge Dias, Mohammed Al-Mualla, & Harish Bhaskar. (2015). Hierarchical Crowd Detection and Representation for Big Data Analytics in Visual Surveillance. 1827–1832. 9 indexed citations
10.
Dogra, Debi Prosad, et al.. (2015). Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph. 104–112. 9 indexed citations
11.
Bhaskar, Harish, et al.. (2013). Comparative analysis of pan-sharpening techniques on DubaiSat-1 images. International Conference on Information Fusion. 227–234. 10 indexed citations
12.
Bhaskar, Harish, et al.. (2013). A spectral water index based on visual bands. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8892. 889219–889219. 6 indexed citations
13.
Bhaskar, Harish, Naoufel Werghi, & Saeed Al Mansoori. (2010). Combined spatial and transform domain analysis for rectangle detection. 1–7. 8 indexed citations
14.
Bhaskar, Harish, et al.. (2009). Combining Local and Global Shape Models for Deformable Object Matching. Research Explorer (The University of Manchester). 95.1–95.12. 20 indexed citations
15.
Bhaskar, Harish, et al.. (2008). Multi-resolution learning vector quantisation based automatic colour clustering. International Conference on Information Fusion. 1–6. 4 indexed citations
16.
Bhaskar, Harish, et al.. (2008). IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications, 2008. 5 indexed citations
17.
Mihaylova, Lyudmila, Simon Maskell, & Harish Bhaskar. (2007). Background modeling using adaptive cluster density estimation for automatic human detection. Lancaster EPrints (Lancaster University). 130–134. 4 indexed citations
18.
Bhaskar, Harish & Sameer Singh. (2007). Live cell imaging: a computational perspective. Journal of Real-Time Image Processing. 1(3). 195–212. 8 indexed citations
19.
Bhaskar, Harish, Lyudmila Mihaylova, & Simon Maskell. (2007). Automatic Target Detection Based on Background Modeling Using Adaptive Cluster Density Estimation. Lancaster EPrints (Lancaster University). 9 indexed citations
20.
Bhaskar, Harish, et al.. (2006). Multi-resolution based motion estimation for object tracking using genetic algorithm. 2006. 583–588. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sergey Ablameyko Breakdown of academic impact, for papers by Shiming Xiang Breakdown of academic impact, for papers by Yaping Huang Breakdown of academic impact, for papers by Zhen Zuo Breakdown of academic impact, for papers by Cuihua Li Breakdown of academic impact, for papers by Mulin Chen Breakdown of academic impact, for papers by Yanwen Chong Breakdown of academic impact, for papers by Claudia Loy Breakdown of academic impact, for papers by Antoine Vacavant Breakdown of academic impact, for papers by Jia Wan
Rankless by CCL
2026