David Williams

84 total papers · 954 total citations
48 papers, 670 citations indexed

About

David Williams is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Computational Mechanics. According to data from OpenAlex, David Williams has authored 48 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 9 papers in Industrial and Manufacturing Engineering and 8 papers in Computational Mechanics. Recurrent topics in David Williams's work include Advanced Welding Techniques Analysis (6 papers), Metal Forming Simulation Techniques (6 papers) and Welding Techniques and Residual Stresses (6 papers). David Williams is often cited by papers focused on Advanced Welding Techniques Analysis (6 papers), Metal Forming Simulation Techniques (6 papers) and Welding Techniques and Residual Stresses (6 papers). David Williams collaborates with scholars based in United Kingdom, United States and Netherlands. David Williams's co-authors include Abhishek Das, Dezhi Li, David Greenwood, Iain Masters, Anup Barai, Rajat Roy, Francisco Pons, Sophie E. Lind, Jill Boucher and Trevor Wilson and has published in prestigious journals such as Journal of Autism and Developmental Disorders, Journal of Materials Processing Technology and Physics of Fluids.

In The Last Decade

David Williams

41 papers receiving 635 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David Williams	382	177	161	70	69	48	670
Tobias Fritsch	467 1.2×	78 0.4×	257 1.6×	30 0.4×	34 0.5×	45	779
Sebastian Schneider	308 0.8×	262 1.5×	47 0.3×	79 1.1×	27 0.4×	88	793
Ho‐Jin Lee	266 0.7×	239 1.4×	75 0.5×	69 1.0×	68 1.0×	93	780
Debasish Mishra	376 1.0×	106 0.6×	49 0.3×	75 1.1×	65 0.9×	52	694
Sunghoon Choi	214 0.6×	132 0.7×	45 0.3×	83 1.2×	23 0.3×	25	620
Jiahai Huang	508 1.3×	95 0.5×	71 0.4×	42 0.6×	124 1.8×	49	729
Xuesong Lu	107 0.3×	197 1.1×	132 0.8×	92 1.3×	20 0.3×	52	582
Haitao Liu	138 0.4×	146 0.8×	88 0.5×	63 0.9×	35 0.5×	35	566
Jiufei Luo	321 0.8×	200 1.1×	47 0.3×	70 1.0×	73 1.1×	59	706
Jiangqi Long	447 1.2×	78 0.4×	72 0.4×	91 1.3×	148 2.1×	49	684

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-authorship network of co-authors of David Williams

This figure shows the co-authorship network connecting the top 25 collaborators of David Williams. A scholar is included among the top collaborators of David 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 David Williams. David Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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