Muhammad Sajid

69 total papers · 1.7k total citations
54 papers, 1.1k citations indexed

About

Muhammad Sajid is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Muhammad Sajid has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Muhammad Sajid's work include Face recognition and analysis (17 papers), Face and Expression Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Muhammad Sajid is often cited by papers focused on Face recognition and analysis (17 papers), Face and Expression Recognition (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Muhammad Sajid collaborates with scholars based in Pakistan, China and Saudi Arabia. Muhammad Sajid's co-authors include Nouman Ali, Bushra Zafar, Saadat Hanif Dar, Naeem Iqbal Ratyal, Aqsa Rasheed, Imtiaz Ahmad Taj, Muhammad Tariq Mahmood, Tehmina Khalil, Jameel Ahmed and Mirza Jabbar Aziz Baig and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Soft Computing.

In The Last Decade

Muhammad Sajid

50 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Muhammad Sajid 582 182 153 115 110 54 1.1k
Nouman Ali 738 1.3× 346 1.9× 168 1.1× 128 1.1× 94 0.9× 51 1.3k
Mohammad Farukh Hashmi 540 0.9× 112 0.6× 267 1.7× 62 0.5× 257 2.3× 92 1.2k
Chirag Patel 363 0.6× 80 0.4× 248 1.6× 58 0.5× 119 1.1× 37 942
Jianfeng Ren 756 1.3× 107 0.6× 170 1.1× 131 1.1× 109 1.0× 95 1.3k
Zhitao Xiao 406 0.7× 114 0.6× 234 1.5× 166 1.4× 279 2.5× 125 1.3k
Yongbin Gao 626 1.1× 154 0.8× 169 1.1× 34 0.3× 105 1.0× 88 1.3k
Nadia Kanwal 681 1.2× 87 0.5× 183 1.2× 82 0.7× 83 0.8× 56 1.3k
Jules‐Raymond Tapamo 576 1.0× 113 0.6× 108 0.7× 31 0.3× 157 1.4× 103 1.0k
Orhan Yaman 157 0.3× 97 0.5× 222 1.5× 150 1.3× 134 1.2× 74 1.2k
Hamid Tairi 713 1.2× 108 0.6× 388 2.5× 38 0.3× 167 1.5× 170 1.4k

Countries citing papers authored by Muhammad Sajid

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Sajid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Sajid

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