Mark A. Williams

3.9k total citations · 1 hit paper
160 papers, 2.8k citations indexed

About

Mark A. Williams is a scholar working on Mechanical Engineering, Biomedical Engineering and Surgery. According to data from OpenAlex, Mark A. Williams has authored 160 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 40 papers in Biomedical Engineering and 25 papers in Surgery. Recurrent topics in Mark A. Williams's work include Advanced X-ray and CT Imaging (28 papers), Orthopaedic implants and arthroplasty (20 papers) and Total Knee Arthroplasty Outcomes (15 papers). Mark A. Williams is often cited by papers focused on Advanced X-ray and CT Imaging (28 papers), Orthopaedic implants and arthroplasty (20 papers) and Total Knee Arthroplasty Outcomes (15 papers). Mark A. Williams collaborates with scholars based in United Kingdom, United States and India. Mark A. Williams's co-authors include Alex Attridge, Jason M. Warnett, Gregory J. Gibbons, John Thornby, Kajal K. Mallick, Sophie C. Cox, Abdul-Hadi G. Abulrub, Glen A. Turley, Paul F. Wilson and Prakash Srirangam and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Power Sources and Scientific Reports.

In The Last Decade

Mark A. Williams

152 papers receiving 2.7k citations

Hit Papers

3D printing of porous hydroxyapatite scaffolds intended f... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark A. Williams United Kingdom 30 740 659 369 275 247 160 2.8k
Richard Boardman United Kingdom 20 292 0.4× 374 0.6× 135 0.4× 119 0.4× 145 0.6× 81 1.8k
Thomas Gries Germany 35 1.1k 1.5× 763 1.2× 362 1.0× 234 0.9× 834 3.4× 503 4.9k
Thomas Böck Germany 32 1.2k 1.6× 466 0.7× 757 2.1× 53 0.2× 35 0.1× 287 4.9k
Robert Bogue United States 35 1.5k 2.1× 841 1.3× 337 0.9× 34 0.1× 347 1.4× 194 4.3k
Aimin Hao China 37 323 0.4× 453 0.7× 256 0.7× 491 1.8× 699 2.8× 286 4.9k
Weijie Wang China 42 778 1.1× 2.1k 3.2× 162 0.4× 61 0.2× 930 3.8× 155 3.9k
Jianhua Zhang China 26 163 0.2× 675 1.0× 96 0.3× 126 0.5× 538 2.2× 254 2.6k
Jorge Vicente Lopes da Silva Brazil 30 1.6k 2.1× 403 0.6× 1.0k 2.7× 60 0.2× 143 0.6× 165 2.9k
Alex Cao United States 18 442 0.6× 209 0.3× 80 0.2× 54 0.2× 203 0.8× 50 1.5k
Jing Xia China 29 2.3k 3.1× 795 1.2× 78 0.2× 90 0.3× 557 2.3× 101 4.4k

Countries citing papers authored by Mark A. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mark A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Williams. 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 Mark A. Williams. The network helps show where Mark A. Williams may publish in the future.

Co-authorship network of co-authors of Mark A. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Williams. A scholar is included among the top collaborators of Mark A. Williams 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 Mark A. Williams. Mark A. Williams 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
3.
Williams, Mark A., et al.. (2024). Quantifying bone compaction and implant-bone contact in uncemented total hip arthroplasty through μCT and digital volume correlation: A cadaveric study. Computers in Biology and Medicine. 184. 109474–109474. 2 indexed citations
5.
Chakrabarti, Barun Kumar, Gerard Bree, Anh Thi Ngoc Dao, et al.. (2024). Lightweight Carbon–Metal-Based Fabric Anode for Lithium-Ion Batteries. ACS Applied Materials & Interfaces. 16(17). 21885–21894. 6 indexed citations
6.
Williams, Mark A., et al.. (2024). A Micro‐CT Based Cadaveric Study Investigating Bone Density Changes During Hip Arthroplasty Surgery. Journal of Orthopaedic Research®. 43(4). 818–827.
7.
Skaik, Talal, Hui Wang, Peter G. Huggard, et al.. (2023). Evaluation of 3-D Printed Monolithic G-Band Waveguide Components. IEEE Transactions on Components Packaging and Manufacturing Technology. 13(2). 240–248. 22 indexed citations
8.
Williams, Mark A., et al.. (2023). Evaluating computed bony range of motion (BROM) by registering in-vitro cadaver-based functional range of motion (FROM) to a hip motion simulation. Computers in Biology and Medicine. 169. 107799–107799. 3 indexed citations
9.
Norman, D, et al.. (2023). Effective X-ray micro computed tomography imaging of carbon fibre composites. Composites Part B Engineering. 258. 110707–110707. 20 indexed citations
10.
Williams, Mark A., et al.. (2022). Performance testing of dimensional X-ray computed tomography systems. Precision Engineering. 77. 179–193. 8 indexed citations
11.
Williams, Mark A., et al.. (2021). Review of high-speed imaging with lab-based x-ray computed tomography. Measurement Science and Technology. 33(1). 12003–12003. 50 indexed citations
12.
Chakrabarti, Barun Kumar, Evangelos Kalamaras, Mengzheng Ouyang, et al.. (2021). Trichome-like Carbon-Metal Fabrics Made of Carbon Microfibers, Carbon Nanotubes, and Fe-Based Nanoparticles as Electrodes for Regenerative Hydrogen/Vanadium Flow Cells. ACS Applied Nano Materials. 4(10). 10754–10763. 9 indexed citations
13.
Warnett, Jason M., Mark A. Williams, Paul F. Wilson, & M. Paul Smith. (2020). The Oxford Dodo. Seeing more than ever before: X-ray micro-CT scanning, specimen acquisition and provenance. Historical Biology. 33(10). 2247–2255. 3 indexed citations
14.
Ferrante, Enzo, et al.. (2019). Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation. Scientific Reports. 9(1). 12450–12450. 1 indexed citations
15.
Tiwari, Manoj Kumar, et al.. (2018). A Novel Hierarchical Template Matching Model for Cardiac Motion Estimation. Scientific Reports. 8(1). 4475–4475. 1 indexed citations
16.
Williams, Mark A., et al.. (2018). Markov random field segmentation for industrial computed tomography with metal artefacts. Journal of X-Ray Science and Technology. 26(4). 573–591. 5 indexed citations
17.
Williams, Mark A., et al.. (2016). Cross-cultural differences in automotive HMI design: a comparative study between UK and Indian users' design preferences. Warwick Research Archive Portal (University of Warwick). 11(2). 45–65. 12 indexed citations
18.
Warnett, Jason M., Gregory J. Gibbons, Julia Brettschneider, et al.. (2016). Modelling the penumbra in Computed Tomography. Journal of X-Ray Science and Technology. 24(4). 583–597. 15 indexed citations
19.
Zopf, Regine, Greg Savage, & Mark A. Williams. (2013). The Crossmodal Congruency Task as a Means to Obtain an Objective Behavioral Measure in the Rubber Hand Illusion Paradigm. Journal of Visualized Experiments. 3 indexed citations
20.
Turley, Glen A., Mark A. Williams, & Charles Tennant. (2005). Expanding product audit methodology throughout the automotive supply chain to facilitate improvement in craftsmanship during new product introduction. Pure (Coventry University). 458. 2 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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