Gareth Williams

23 total papers · 511 total citations
7 papers, 305 citations indexed

About

Gareth Williams is a scholar working on Surfaces, Coatings and Films, Polymers and Plastics and Civil and Structural Engineering. According to data from OpenAlex, Gareth Williams has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surfaces, Coatings and Films, 3 papers in Polymers and Plastics and 2 papers in Civil and Structural Engineering. Recurrent topics in Gareth Williams's work include Surface Modification and Superhydrophobicity (3 papers), Polymer composites and self-healing (3 papers) and Aeroelasticity and Vibration Control (1 paper). Gareth Williams is often cited by papers focused on Surface Modification and Superhydrophobicity (3 papers), Polymer composites and self-healing (3 papers) and Aeroelasticity and Vibration Control (1 paper). Gareth Williams collaborates with scholars based in United Kingdom and New Zealand. Gareth Williams's co-authors include Ian P Bond, Richard S. Trask, Karna Dev Bardhan, Sudhesh Kumar, Ramesh Arasaradnam, Chuka Nwokolo, M.W. Pharaoh, Julie A Etches, Lynn Clark and Phil Mellor and has published in prestigious journals such as Journal of The Royal Society Interface, Journal of Intelligent Material Systems and Structures and Medical Hypotheses.

In The Last Decade

Gareth Williams

7 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Gareth Williams	243	93	60	56	53	7	305
D. D. Pelot	195 0.8×	71 0.8×	155 2.6×	97 1.7×	40 0.8×	8	346
Rahul K. Hedaoo	263 1.1×	96 1.0×	68 1.1×	94 1.7×	34 0.6×	7	366
Jun Chen	214 0.9×	84 0.9×	37 0.6×	126 2.3×	48 0.9×	13	326
Zhining Xie	207 0.9×	84 0.9×	137 2.3×	93 1.7×	11 0.2×	9	345
E. Solis-Ramos	129 0.5×	25 0.3×	41 0.7×	34 0.6×	12 0.2×	7	325
Tiwa Yimyai	166 0.7×	97 1.0×	33 0.6×	77 1.4×	67 1.3×	9	340
Ioannis Giannakopoulos	215 0.9×	125 1.3×	56 0.9×	56 1.0×	21 0.4×	11	352
Haopu Xie	303 1.2×	145 1.6×	75 1.3×	100 1.8×	8 0.2×	12	359
Nityanshu Kumar	188 0.8×	19 0.2×	65 1.1×	50 0.9×	49 0.9×	15	322
Saba Goharshenas Moghadam	77 0.3×	39 0.4×	57 0.9×	106 1.9×	175 3.3×	9	325

Countries citing papers authored by Gareth Williams

Since Specialization

Citations

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

Fields of papers citing papers by Gareth Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gareth Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Williams. A scholar is included among the top collaborators of Gareth 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 Gareth Williams. Gareth 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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