Muhammad Asad

45 total papers · 812 total citations
28 papers, 496 citations indexed

About

Muhammad Asad is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering. According to data from OpenAlex, Muhammad Asad has authored 28 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Plant Science and 6 papers in Biomedical Engineering. Recurrent topics in Muhammad Asad's work include Smart Agriculture and AI (5 papers), Human Pose and Action Recognition (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Muhammad Asad is often cited by papers focused on Smart Agriculture and AI (5 papers), Human Pose and Action Recognition (4 papers) and EEG and Brain-Computer Interfaces (3 papers). Muhammad Asad collaborates with scholars based in United Kingdom, Canada and Pakistan. Muhammad Asad's co-authors include Abdul Bais, Greg Slabaugh, Eduardo Alonso, Atif Riaz, Sheeraz Arif, Philip J. Corr, Danai Dima, Azhar Mahmood, Muhammad Usman and Charith Abhayaratne and has published in prestigious journals such as IEEE Access, Journal of Shoulder and Elbow Surgery and Journal of Neuroscience Methods.

In The Last Decade

Muhammad Asad

25 papers receiving 480 citations

Author Peers

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

Author						Papers	Cites
Muhammad Asad	200	157	118	56	54	28	496
Mostafa Mehdipour Ghazi	32 0.2×	262 1.7×	50 0.4×	82 1.5×	92 1.7×	17	576
Xiaofeng Du	55 0.3×	51 0.3×	102 0.9×	18 0.3×	148 2.7×	34	572
Stijn Luca	57 0.3×	64 0.4×	35 0.3×	34 0.6×	35 0.6×	43	488
Huaibo Song	43 0.2×	144 0.9×	9 0.1×	36 0.6×	108 2.0×	34	518
Kun Bi	266 1.3×	48 0.3×	35 0.3×	8 0.1×	9 0.2×	43	567
Arantza Bereciartúa-Pérez	11 0.1×	342 2.2×	24 0.2×	65 1.2×	75 1.4×	25	536
Liang Dong	300 1.5×	29 0.2×	7 0.1×	34 0.6×	50 0.9×	23	454
Qi Zhou	109 0.5×	182 1.2×	107 0.9×	7 0.1×	19 0.4×	31	507
Dong Hyuk Lee	48 0.2×	243 1.5×	45 0.4×	11 0.2×	6 0.1×	47	489
Chenguang Zhao	115 0.6×	36 0.2×	39 0.3×	20 0.4×	14 0.3×	43	537

Countries citing papers authored by Muhammad Asad

Since Specialization

Citations

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

Fields of papers citing papers by Muhammad Asad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Asad

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