Salman Khan

81 total papers · 2.6k total citations
39 papers, 1.8k citations indexed

About

Salman Khan is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Salman Khan has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Salman Khan's work include Video Surveillance and Tracking Methods (5 papers), Fire Detection and Safety Systems (5 papers) and Advanced Neural Network Applications (5 papers). Salman Khan is often cited by papers focused on Video Surveillance and Tracking Methods (5 papers), Fire Detection and Safety Systems (5 papers) and Advanced Neural Network Applications (5 papers). Salman Khan collaborates with scholars based in Pakistan, South Korea and China. Salman Khan's co-authors include Khan Muhammad, Sung Wook Baik, Victor Hugo C. de Albuquerque, Muhammad Sajjad, Amin Ullah, Wanqing Wu, Javier Del Ser, Mohamed Elhoseny, Syed Hassan Ahmed and Tanveer Hussain and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Analytical Chemistry and Coordination Chemistry Reviews.

In The Last Decade

Salman Khan

29 papers receiving 1.7k citations

Hit Papers

Multi-grade brain tumor c... 2018 2026 2020 2023 2018 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Salman Khan 1.1k 650 529 402 263 39 1.8k
Akmalbek Abdusalomov 822 0.8× 261 0.4× 299 0.6× 581 1.4× 123 0.5× 76 1.7k
Fatma M. Talaat 423 0.4× 114 0.2× 380 0.7× 125 0.3× 168 0.6× 62 1.7k
Feiniu Yuan 1.6k 1.5× 110 0.2× 320 0.6× 1.2k 3.0× 247 0.9× 67 2.2k
Yılmaz Kaya 279 0.3× 172 0.3× 472 0.9× 54 0.1× 93 0.4× 62 1.5k
Siyuan Lu 731 0.7× 574 0.9× 912 1.7× 28 0.1× 569 2.2× 56 2.3k
Chao Gou 1.2k 1.1× 55 0.1× 778 1.5× 69 0.2× 215 0.8× 93 2.3k
Lei Qi 1.1k 1.0× 89 0.1× 711 1.3× 73 0.2× 228 0.9× 107 2.1k
Abdullah-Al Nahid 517 0.5× 129 0.2× 960 1.8× 36 0.1× 659 2.5× 82 2.2k
Quanfu Fan 1.3k 1.2× 55 0.1× 578 1.1× 51 0.1× 155 0.6× 48 2.0k
Muhammad Haris Khan 783 0.7× 139 0.2× 518 1.0× 41 0.1× 343 1.3× 69 1.5k

Countries citing papers authored by Salman Khan

Since Specialization
Citations

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

Fields of papers citing papers by Salman Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salman Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Salman Khan. A scholar is included among the top collaborators of Salman 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 Salman Khan. Salman 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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