Sajid Ullah Khan

62 total papers · 839 total citations
38 papers, 463 citations indexed

About

Sajid Ullah Khan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Sajid Ullah Khan has authored 38 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Networks and Communications and 8 papers in Media Technology. Recurrent topics in Sajid Ullah Khan's work include Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (6 papers). Sajid Ullah Khan is often cited by papers focused on Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (6 papers) and Advanced Image Fusion Techniques (6 papers). Sajid Ullah Khan collaborates with scholars based in Pakistan, Saudi Arabia and Malaysia. Sajid Ullah Khan's co-authors include Naveed Saif, Imrab Shaheen, Mohammad Arif, Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Ghulam Mujtaba, Zafar Ali, Zahid Hussain, Sarang Shaikh and Imdad Ullah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Sajid Ullah Khan

34 papers receiving 431 citations

Hit Papers

Chat-GPT; validating Tech... 2023 2026 2024 2023 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Sajid Ullah Khan 157 90 57 53 41 38 463
Martin Bobák 178 1.1× 72 0.8× 22 0.4× 77 1.5× 10 0.2× 20 551
David Alonso-Ríos 196 1.2× 51 0.6× 34 0.6× 92 1.7× 57 1.4× 22 550
Hao Peng 250 1.6× 56 0.6× 25 0.4× 60 1.1× 27 0.7× 21 531
Asharul Islam Khan 92 0.6× 55 0.6× 46 0.8× 120 2.3× 13 0.3× 35 499
Mladjan Jovanovic 167 1.1× 44 0.5× 15 0.3× 57 1.1× 64 1.6× 36 453
Harmanpreet Kaur 226 1.4× 52 0.6× 65 1.1× 30 0.6× 45 1.1× 35 531
Yunhe Feng 175 1.1× 42 0.5× 11 0.2× 64 1.2× 24 0.6× 43 471
Gopal Krishna Nayak 141 0.9× 213 2.4× 23 0.4× 29 0.5× 14 0.3× 20 519
Yanan Song 78 0.5× 76 0.8× 11 0.2× 16 0.3× 18 0.4× 39 404
Karthikeyan Kaliyaperumal 122 0.8× 40 0.4× 15 0.3× 53 1.0× 11 0.3× 36 422

Countries citing papers authored by Sajid Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sajid Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajid Ullah Khan

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