David Williams

994 citations
48 papers · 691 · h-index 13

Impact in

    • Advanced Battery Technologies Research
    • Advanced Welding Techniques Analysis
    • Welding Techniques and Residual Stresses
    • Aluminum Alloys Composites Properties
    • Metal Forming Simulation Techniques

Papers in

David Williams

40 papers receiving 660 citations

Peers

David Williams
Comparison fields: 5 of 87
  • Automotive Engineering 165
  • Mechanical Engineering 390
  • Industrial and Manufacturing Engineering 54
  • Software 15
  • Electrical and Electronic Engineering 179
Replace Jiandong Liang with:
Jiandong Liang China
Tobias Fritsch Germany
Markus Henke Germany
Xuesong Lu China
Peter H. Meckl United States
Ming-Che Hsieh Taiwan
Yanhong Peng Japan
Karl D. D. Willis United States
Ke Qiu Canada
Yung Ting Taiwan
David Williams relative to Jiandong Liang China Jiandong Liang's profile →
Citations per field
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Jiandong Liang · 1×
Citations per year

Countries citing papers authored by David Williams

Since Specialization
Citations

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

Fields of papers citing papers by David Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018221
2 201963
3 201963
4 201849
5 200645
6 201125
7 201121
8
Diversity at WORK: The Business Case for Equity
199921
9 200619
10 201818
11 202116
12 201616
13 200313
14 20159
15 20198
16 20208
17 20207
18 20207
19 20136
20 20085

About David Williams

David Williams is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering, Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 48 papers that have together received 691 indexed citations. Recurring topics across this work include Welding Techniques and Residual Stresses (6 papers), Manufacturing Process and Optimization (6 papers), Advanced Welding Techniques Analysis (6 papers), Metal Forming Simulation Techniques (6 papers), Advanced Battery Technologies Research (4 papers), Cryptography and Data Security (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Automotive Engineering (165 citations), Mechanical Engineering (390 citations), Industrial and Manufacturing Engineering (54 citations), Software (15 citations) and Electrical and Electronic Engineering (179 citations). David Williams has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Abhishek Das, David Greenwood, Dezhi Li, Iain Masters, Anup Barai, Rajat Roy, Jill Boucher, Francisco Pons, Sophie E. Lind and A.P. Ambler. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Autism and Developmental Disorders, Formal Aspects of Computing, Journal of Materials Processing Technology and Physics of Fluids.

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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