Abdullah Al Muhit

578 total citations
20 papers, 485 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 485 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 Malaysia. Abdullah Al Muhit's co-authors include Mark R. Pickering, Michael R. Frater, Wojciech Zbijewski, R. Senn, J. Yorkston, Dong Yang, Nathan J. Packard, John A. Carrino, Gaurav K. Thawait and Jeffrey H. Siewerdsen 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 480 citations

Peers

Abdullah Al Muhit
David H. Foos United States
Marcel Lüthi Switzerland
Steffen Schumann Switzerland
Nóra Baka Netherlands
Jérôme Schmid Switzerland
M. G. Roberts United Kingdom
Zhaoye Zhou United States
David H. Foos United States
Abdullah Al Muhit
Citations per year, relative to Abdullah Al Muhit Abdullah Al Muhit (= 1×) peers David H. Foos

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

20 of 20 papers shown
1.
Zimmerman, Ryan M., et al.. (2017). The quality of randomised controlled trials involving surgery from the hand to the elbow. The Bone & Joint Journal. 99-B(1). 94–99. 7 indexed citations
2.
Demehri, Shadpour, Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2015). Assessment of image quality in soft tissue and bone visualization tasks for a dedicated extremity cone-beam CT system. European Radiology. 25(6). 1742–1751. 73 indexed citations
3.
Zelken, Jonathan, et al.. (2015). Two Versus 3 Lag Screws for Fixation of Long Oblique Proximal Phalanx Fractures of the Fingers: A Cadaver Study. The Journal Of Hand Surgery. 40(6). 1124–1129. 13 indexed citations
4.
Zbijewski, Wojciech, Alejandro Sisniega, J. Webster Stayman, et al.. (2014). High-performance soft-tissue imaging in extremity cone-beam CT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9033. 903329–903329. 8 indexed citations
5.
Pickering, Mark R., et al.. (2014). A fast and robust technique for 3D–2D registration of CT to single plane X-ray fluoroscopy. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 2(2). 76–89. 5 indexed citations
6.
Muhit, Abdullah Al, Mark R. Pickering, Jennie M. Scarvell, Tom Ward, & Paul N. Smith. (2013). Image-assisted non-invasive and dynamic biomechanical analysis of human joints. Physics in Medicine and Biology. 58(13). 4679–4702. 18 indexed citations
7.
Carrino, John A., Abdullah Al Muhit, Wojciech Zbijewski, et al.. (2013). Dedicated Cone-Beam CT System for Extremity Imaging. Radiology. 270(3). 816–824. 180 indexed citations
8.
Muhit, Abdullah Al, Masato Ogawa, Yifu Ding, et al.. (2013). Peripheral quantitative CT (pQCT) using a dedicated extremity cone-beam CT scanner. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8672. 867203–867203. 15 indexed citations
9.
10.
Muhit, Abdullah Al, Wojciech Zbijewski, J. Webster Stayman, et al.. (2012). WE‐G‐217BCD‐04: Diagnostic Image Quality Evaluation of a Dedicated Extremity Cone‐ Beam CT Scanner: Pre‐Clinical Studies and First Clinical Results. Medical Physics. 39(6Part28). 3973–3973. 2 indexed citations
11.
Zbijewski, Wojciech, Alejandro Sisniega, J.J. Vaquero, et al.. (2012). Dose and scatter characteristics of a novel cone beam CT system for musculoskeletal extremities. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8313. 831318–831318. 6 indexed citations
12.
Muhit, Abdullah Al, Mark R. Pickering, Michael R. Frater, & J.F. Arnold. (2011). Video coding using fast geometry-adaptive partitioning and an elastic motion model. Journal of Visual Communication and Image Representation. 23(1). 31–41. 17 indexed citations
13.
Muhit, Abdullah Al, Mark R. Pickering, Thomas Ward, Jennie M. Scarvell, & Paul N. Smith. (2010). A comparison of the 3D kinematic measurements obtained by single-plane 2D-3D image registration and RSA. PubMed. 2010. 6288–6291. 9 indexed citations
14.
Muhit, Abdullah Al, Mark R. Pickering, Michael R. Frater, & J.F. Arnold. (2010). Video Coding Using Elastic Motion Model and Larger Blocks. IEEE Transactions on Circuits and Systems for Video Technology. 20(5). 661–672. 45 indexed citations
15.
Muhit, Abdullah Al, Mark R. Pickering, & Michael R. Frater. (2009). A fast approach for geometry-adaptive block partitioning. 1–4. 25 indexed citations
16.
Pickering, Mark R., Abdullah Al Muhit, Jennie M. Scarvell, & Paul N. Smith. (2009). A new multi-modal similarity measure for fast gradient-based 2D-3D image registration. PubMed. 6966. 5821–5824. 42 indexed citations
17.
Muhit, Abdullah Al, Mark R. Pickering, & Michael R. Frater. (2009). Motion compensation using geometry and an elastic motion model. 621–624. 10 indexed citations
18.
Muhit, Abdullah Al, Mark R. Pickering, Michael R. Frater, & J.F. Arnold. (2008). Extended motion compensation using larger blocks and an elastic motion model. 257–260. 2 indexed citations
19.
Muhit, Abdullah Al & Teong Chee Chuah. (2008). Real-Time Optimized Error Protection Assignment for Scalable Image and Video over Wireless Channels. Circuits Systems and Signal Processing. 27(5). 657–671. 4 indexed citations
20.
Muhit, Abdullah Al. (2007). Error-resilient transmission of quality-scalable images over wireless channels. Digital Signal Processing. 18(4). 588–597. 3 indexed citations

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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