Abdullah Al Muhit

24 total papers · 572 total citations
20 papers, 480 citations indexed

About

Abdullah Al Muhit is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abdullah Al Muhit has authored 20 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Biomedical Engineering and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abdullah Al Muhit's work include Advanced X-ray and CT Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers) and Video Coding and Compression Technologies (7 papers). Abdullah Al Muhit is often cited by papers focused on Advanced X-ray and CT Imaging (8 papers), Medical Imaging Techniques and Applications (7 papers) and Video Coding and Compression Technologies (7 papers). Abdullah Al Muhit collaborates with scholars based in Australia, United States and Spain. Abdullah Al Muhit's co-authors include Mark R. Pickering, Michael R. Frater, Nathan J. Packard, J. Yorkston, John A. Carrino, Dong Yang, R. Senn, Wojciech Zbijewski, J. Webster Stayman and Gaurav K. Thawait and has published in prestigious journals such as Radiology, Physics in Medicine and Biology and Medical Physics.

In The Last Decade

Abdullah Al Muhit

20 papers receiving 475 citations

Author Peers

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

Author Last Decade Papers Cites
Abdullah Al Muhit 226 160 144 136 76 20 480
Raphael Schwarz 177 0.8× 42 0.3× 142 1.0× 50 0.4× 72 0.9× 30 540
Tobias Gass 100 0.4× 152 0.9× 73 0.5× 175 1.3× 26 0.3× 21 435
Rodrigo Moreno 199 0.9× 175 1.1× 92 0.6× 112 0.8× 6 0.1× 42 545
R. Senn 287 1.3× 229 1.4× 137 1.0× 20 0.1× 3 0.0× 18 508
Abhilash Rakkunedeth Hareendranathan 90 0.4× 163 1.0× 227 1.6× 51 0.4× 4 0.1× 62 503
U. Scheipers 183 0.8× 281 1.8× 61 0.4× 60 0.4× 7 0.1× 24 436
Jan L. Bruse 80 0.4× 33 0.2× 139 1.0× 50 0.4× 20 0.3× 32 528
Yves Pauchard 100 0.4× 110 0.7× 203 1.4× 30 0.2× 4 0.1× 21 458
Stefan M. Lupkiewicz 43 0.2× 115 0.7× 128 0.9× 31 0.2× 7 0.1× 13 532
Nóra Baka 215 1.0× 155 1.0× 145 1.0× 156 1.1× 20 450

Countries citing papers authored by Abdullah Al Muhit

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Al Muhit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abdullah Al Muhit. 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 Abdullah Al Muhit. The network helps show where Abdullah Al Muhit may publish in the future.

Co-authorship network of co-authors of Abdullah Al Muhit

This figure shows the co-authorship network connecting the top 25 collaborators of Abdullah Al Muhit. A scholar is included among the top collaborators of Abdullah Al Muhit 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 Abdullah Al Muhit. Abdullah Al Muhit 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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