Sheheryar Khan

75 total papers · 963 total citations
49 papers, 526 citations indexed

About

Sheheryar Khan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Sheheryar Khan has authored 49 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 11 papers in Electrical and Electronic Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Sheheryar Khan's work include Video Surveillance and Tracking Methods (5 papers), Aeroelasticity and Vibration Control (5 papers) and Face and Expression Recognition (4 papers). Sheheryar Khan is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Aeroelasticity and Vibration Control (5 papers) and Face and Expression Recognition (4 papers). Sheheryar Khan collaborates with scholars based in Hong Kong, Pakistan and Canada. Sheheryar Khan's co-authors include Hong Yan, Rizwan Qureshi, Jia Wu, Taimoor Muzaffar Gondal, Muhammad Usman Hadi, Tanvir Alam, Muhammad Irfan, Xiuning Le, John V. Heymach and Lijiang Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Sheheryar Khan

43 papers receiving 512 citations

Hit Papers

AI in drug discovery and ... 2023 2026 2024 2023 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sheheryar Khan 106 86 72 68 64 49 526
Shuo Liu 133 1.3× 24 0.3× 76 1.1× 21 0.3× 64 1.0× 41 523
Qipeng Chen 168 1.6× 85 1.0× 29 0.4× 41 0.6× 18 0.3× 38 566
Xu Lu 136 1.3× 86 1.0× 66 0.9× 40 0.6× 27 0.4× 52 525
Wei Pan 125 1.2× 29 0.3× 32 0.4× 32 0.5× 99 1.5× 57 543
Jinyong Cheng 114 1.1× 17 0.2× 137 1.9× 61 0.9× 63 1.0× 69 578
Nikolay Nagornov 137 1.3× 63 0.7× 23 0.3× 45 0.7× 26 0.4× 29 533
Congxuan Zhang 284 2.7× 101 1.2× 16 0.2× 116 1.7× 16 0.3× 58 617
Martha White 170 1.6× 42 0.5× 33 0.5× 35 0.5× 46 0.7× 46 613
Lili Lin 237 2.2× 48 0.6× 46 0.6× 34 0.5× 13 0.2× 56 524
Amit Banerjee 81 0.8× 65 0.8× 28 0.4× 67 1.0× 20 0.3× 58 569

Countries citing papers authored by Sheheryar Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sheheryar Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheheryar Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheheryar Khan. A scholar is included among the top collaborators of Sheheryar Khan 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 Sheheryar Khan. Sheheryar Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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