David M. Williamson

143 papers receiving 2.4k citations

Peers

David M. Williamson
Comparison fields: 5 of 164
  • Rehabilitation 151
  • Computer Science Applications 123
  • Hematology 207
  • Artificial Intelligence 625
  • Mechanics of Materials 472
Replace George Α. Papadopoulos with:
George Α. Papadopoulos Greece
Won Ho Kim South Korea
Stefan Bauer Switzerland
J. Thompson United States
Chris Edwards United Kingdom
Peter Stone New Zealand
Michael Fischer United States
Michael Häfner Germany
David R. Myers United States
Martin Wagner Germany
David M. Williamson relative to George Α. Papadopoulos Greece George Α. Papadopoulos's profile →
Citations per field
00.5×10×15×21.6×
George Α. Papadopoulos · 1×
Citations per year

Countries citing papers authored by David M. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by David M. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Williamson. 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 David M. Williamson. The network helps show where David M. Williamson may publish in the future.

Co-authors

The 25 scholars most cited alongside David M. Williamson, 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 David M. Williamson Line = papers co-authored together David M. Williamson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012242
2 2009179
3 1992111
4 199996
5 201596
6 202192
7 201082
8 200879
9 201272
10 199869
11 200259
12 201158
13 201355
14 199941
15 199140
16 201540
17 201039
18 200338
19 201037
20 200836

About David M. Williamson

David M. Williamson is a scholar working on Mechanics of Materials, Materials Chemistry, Electrical and Electronic Engineering, Surgery and Artificial Intelligence, having authored 151 papers that have together received 2.6k indexed citations. Recurring topics across this work include High-Velocity Impact and Material Behavior (36 papers), Energetic Materials and Combustion (35 papers), Advancements in Photolithography Techniques (11 papers), High-pressure geophysics and materials (11 papers), Reliability and Agreement in Measurement (7 papers), Structural Response to Dynamic Loads (7 papers), Psychometric Methodologies and Testing (6 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Rehabilitation (151 citations), Computer Science Applications (123 citations), Hematology (207 citations), Artificial Intelligence (625 citations) and Mechanics of Materials (472 citations). David M. Williamson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Xiaoming Xi, Derrick Higgins, F. Jay Breyer, Klaus Zechner, Chaitanya Ramineni, William G. Proud, William G. Cole, S. J. P. Palmer, S. M. Walley and Christopher J. Coates. Their work appears in journals such as Foot and Ankle Surgery, Propellants Explosives Pyrotechnics, The Foot, Journal of Physics D Applied Physics and Journal of Pediatric Orthopaedics.

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.

Explore authors with similar magnitude of impact