Arslan Basharat

1.4k total citations
28 papers, 925 citations indexed

About

Arslan Basharat is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Arslan Basharat has authored 28 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Arslan Basharat's work include Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (6 papers). Arslan Basharat is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Video Analysis and Summarization (6 papers). Arslan Basharat collaborates with scholars based in United States, Pakistan and Saudi Arabia. Arslan Basharat's co-authors include Mubarak Shah, Alexei Gritai, Mubarak Shah, Saad Ali, Anthony Hoogs, Chengjiang Long, Ashraful Islam, Yun Zhai, F. Necati Çatbaş and Eric Smith and has published in prestigious journals such as Journal of Physics and Chemistry of Solids, Computer Vision and Image Understanding and Physica Scripta.

In The Last Decade

Arslan Basharat

27 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arslan Basharat United States 13 654 398 145 128 85 28 925
Qieshi Zhang China 14 423 0.6× 156 0.4× 63 0.4× 143 1.1× 41 0.5× 91 685
Pramuditha Perera United States 10 222 0.3× 461 1.2× 115 0.8× 50 0.4× 101 1.2× 27 659
Imran N. Junejo United Arab Emirates 14 668 1.0× 350 0.9× 43 0.3× 168 1.3× 76 0.9× 46 787
Chengliang Liu China 17 434 0.7× 500 1.3× 84 0.6× 32 0.3× 45 0.5× 46 828
Jen‐Shiun Chiang Taiwan 13 417 0.6× 130 0.3× 45 0.3× 156 1.2× 203 2.4× 123 847
Meina Qiao China 8 317 0.5× 235 0.6× 116 0.8× 69 0.5× 13 0.2× 12 680
Xinhan Wang China 12 189 0.3× 191 0.5× 225 1.6× 102 0.8× 37 0.4× 23 662
Laura Fernández-Robles Spain 16 190 0.3× 261 0.7× 45 0.3× 62 0.5× 55 0.6× 47 738
Adam Dąbrowski Poland 12 301 0.5× 83 0.2× 53 0.4× 101 0.8× 139 1.6× 157 662
Khairulmizam Samsudin Malaysia 17 275 0.4× 236 0.6× 308 2.1× 118 0.9× 47 0.6× 76 961

Countries citing papers authored by Arslan Basharat

Since Specialization
Citations

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

Fields of papers citing papers by Arslan Basharat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arslan Basharat

This figure shows the co-authorship network connecting the top 25 collaborators of Arslan Basharat. A scholar is included among the top collaborators of Arslan Basharat 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 Arslan Basharat. Arslan Basharat 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
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Bhattacharjee, Amrita, James H. Cook, Matthias Kirchner, et al.. (2024). Defending Against Social Engineering Attacks in the Age of LLMs. 12880–12902. 6 indexed citations
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Basharat, Arslan, Javed Iqbal, Rasheed Ahmad Khera, et al.. (2023). Investigating the impact of end-capped acceptor alterations to dimethyl fluorene-based hole transporting material for perovskite solar cells. Journal of Physics and Chemistry of Solids. 186. 111798–111798. 16 indexed citations
6.
Albright, Michael, et al.. (2021). Source Attribution of Online News Images by Compression Analysis. 1–6. 1 indexed citations
7.
Long, Chengjiang, Arslan Basharat, & Anthony Hoogs. (2019). A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos. arXiv (Cornell University). 1–10. 8 indexed citations
8.
Chittajallu, Deepak R., Arslan Basharat, Samantha Horvath, et al.. (2019). Content-based retrieval of video segments from minimally invasive surgery videos using deep convolutional video descriptors and iterative query refinement. 99–99. 7 indexed citations
9.
Long, Chengjiang, Eric Smith, Arslan Basharat, & Anthony Hoogs. (2017). A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot. 1898–1906. 35 indexed citations
10.
Blasch, Erik, Haibin Ling, Dan Shen, et al.. (2015). Video-to-text information fusion evaluation for level 5 user refinement. International Conference on Information Fusion. 1993–2000. 5 indexed citations
11.
Blasch, Erik, James G. Nagy, Alexander Aved, et al.. (2014). Context aided video-to-text information fusion. 1–8. 52 indexed citations
12.
Sun, Zhaohui, et al.. (2014). Tracking nautical objects in real-time via layered saliency detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9089. 908903–908903. 3 indexed citations
13.
Basharat, Arslan, et al.. (2014). Real-time multi-target tracking at 210 megapixels/second in Wide Area Motion Imagery. 839–846. 27 indexed citations
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Basharat, Arslan, et al.. (2011). Tracking flow of leukocytes in blood for drug analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7871. 78710N–78710N. 1 indexed citations
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Basharat, Arslan & Mubarak Shah. (2009). Time series prediction by chaotic modeling of nonlinear dynamical systems. Journal of International Crisis and Risk Communication Research. 35 indexed citations
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Basharat, Arslan, Alexei Gritai, & Mubarak Shah. (2008). Learning object motion patterns for anomaly detection and improved object detection. Journal of International Crisis and Risk Communication Research. 1–8. 260 indexed citations
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Miller, Andrew, Arslan Basharat, Brandyn White, Jingen Liu, & Mubarak Shah. (2007). Person and Vehicle Tracking in Surveillance Video.. Journal of International Crisis and Risk Communication Research. 174–178. 1 indexed citations
18.
Basharat, Arslan, Yun Zhai, & Mubarak Shah. (2007). Content based video matching using spatiotemporal volumes. Computer Vision and Image Understanding. 110(3). 360–377. 61 indexed citations
19.
Liu, Jingen, et al.. (2006). University of Central Florida at TRECVID 2006 High-Level Feature Extraction and Video Search. Journal of International Crisis and Risk Communication Research. 4 indexed citations
20.
Basharat, Arslan, F. Necati Çatbaş, & Mubarak Shah. (2005). A Framework for Intelligent Sensor Network with Video Camera for Structural Health Monitoring of Bridges. Journal of International Crisis and Risk Communication Research. 385–389. 65 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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