Muhammad Awais

125 total papers · 2.3k total citations
56 papers, 960 citations indexed

About

Muhammad Awais is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Muhammad Awais has authored 56 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Signal Processing. Recurrent topics in Muhammad Awais's work include Face recognition and analysis (9 papers), Video Surveillance and Tracking Methods (7 papers) and Biometric Identification and Security (7 papers). Muhammad Awais is often cited by papers focused on Face recognition and analysis (9 papers), Video Surveillance and Tracking Methods (7 papers) and Biometric Identification and Security (7 papers). Muhammad Awais collaborates with scholars based in United Kingdom, Pakistan and China. Muhammad Awais's co-authors include Syed Muhammad Anwar, Muhammad Majid, Adnan Qayyum, Josef Kittler, Ammarah Farooq, Saad Rehman, Ali Akbari, Shervin Rahimzadeh Arashloo, Zhenhua Feng and Majdi Alnowami and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Nuclear Physics B.

In The Last Decade

Muhammad Awais

50 papers receiving 927 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 Awais 506 290 182 156 113 56 960
Jae Young Choi 737 1.5× 332 1.1× 213 1.2× 150 1.0× 126 1.1× 62 1.2k
Bumshik Lee 707 1.4× 255 0.9× 270 1.5× 401 2.6× 108 1.0× 69 1.1k
V́ıctor González-Castro 255 0.5× 319 1.1× 112 0.6× 103 0.7× 147 1.3× 59 1.2k
Farhan Riaz 312 0.6× 336 1.2× 62 0.3× 229 1.5× 123 1.1× 73 1.2k
Siqi Liu 252 0.5× 410 1.4× 252 1.4× 51 0.3× 195 1.7× 73 1.1k
Bin Liu 432 0.9× 295 1.0× 519 2.9× 42 0.3× 170 1.5× 65 1.2k
Yan Wang 397 0.8× 275 0.9× 78 0.4× 48 0.3× 159 1.4× 41 948
Taha H. Rassem 558 1.1× 263 0.9× 282 1.5× 46 0.3× 120 1.1× 40 1.1k
Ee-Leng Tan 254 0.5× 254 0.9× 69 0.4× 222 1.4× 132 1.2× 42 852
Galip Aydın 222 0.4× 363 1.3× 108 0.6× 79 0.5× 183 1.6× 44 1.1k

Countries citing papers authored by Muhammad Awais

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Awais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Awais

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