Mark B. Williams

2.8k citations
109 papers · 2.0k indexed · h-index 23

Mark B. Williams

105 papers receiving 1.9k citations

Peers

Mark B. Williams
Comparison fields: 5 of 123
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Radiation 386
  • Pulmonary and Respiratory Medicine 938
  • Biomedical Engineering 673
  • Artificial Intelligence 369
Replace Srinivasan Vedantham with:
Srinivasan Vedantham United States
Jacob Sosna Israel
Hania Al‐Hallaq United States
David Fuentes United States
Rüdiger Schulz‐Wendtland Germany
Nanna M. Sijtsema Netherlands
Adam K. Glaser United States
Amita Shukla‐Dave United States
Thomas Carlier France
J.E. Bowsher United States
Mark B. Williams relative to Srinivasan Vedantham United States Srinivasan Vedantham's profile →
Citations per field
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Srinivasan Vedantham · 1×
Citations per year

Countries citing papers authored by Mark B. Williams

Since Specialization
Citations

This map shows the geographic impact of Mark B. 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 B. 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 B. Williams more than expected).

Fields of papers citing papers by Mark B. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mark B. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark B. Williams Line = papers co-authored together Mark B. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20219
3 20212
4 20216
5 201318
6 20123
7 2012112
8 201211
9 200756
10 200615
11 200436
12 20044
13 200213
14 200023
15 200050
16 199992
17 199823
18 199616
19 19944
20
Shadows of the former self : images of christianity in contemporary Japanese literature
19911

About Mark B. Williams

Mark B. Williams is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering and Computer Graphics and Computer-Aided Design, having authored 109 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (63 papers), Digital Radiography and Breast Imaging (40 papers), Advanced X-ray and CT Imaging (27 papers), Radiation Detection and Scintillator Technologies (26 papers), AI in cancer detection (12 papers), Atomic and Subatomic Physics Research (10 papers), Nuclear Physics and Applications (8 papers) and Radiation Dose and Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Radiation (386 citations), Pulmonary and Respiratory Medicine (938 citations), Biomedical Engineering (673 citations) and Artificial Intelligence (369 citations). Mark B. Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include S.E. Sobottka, Stuart S. Berr, Laurie L. Fajardo, Martin Stanton, W. A. Phillips, Landon W. Locke, Loren T. Niklason, Daniel B. Kopans, S. Majewski and J. Anthony Seibert. Their work appears in journals such as IEEE Transactions on Nuclear Science, Medical Physics, Journal of the American College of Radiology, Radiology and Academic Radiology.

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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