Graham Wilks

54 total papers · 681 total citations
45 papers, 560 citations indexed

About

Graham Wilks is a scholar working on Computational Mechanics, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Graham Wilks has authored 45 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Mechanics, 17 papers in Biomedical Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Graham Wilks's work include Fluid Dynamics and Turbulent Flows (27 papers), Nanofluid Flow and Heat Transfer (16 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). Graham Wilks is often cited by papers focused on Fluid Dynamics and Turbulent Flows (27 papers), Nanofluid Flow and Heat Transfer (16 papers) and Computational Fluid Dynamics and Aerodynamics (11 papers). Graham Wilks collaborates with scholars based in United Kingdom, United States and Singapore. Graham Wilks's co-authors include Roland Hunt, Jian-Jun Shu, D. M. Sloan, Jon Barker, D. S. Riley, Zine Aidoun and D. Riley and has published in prestigious journals such as Journal of Fluid Mechanics, Journal of Computational Physics and International Journal of Heat and Mass Transfer.

In The Last Decade

Graham Wilks

43 papers receiving 532 citations

Author Peers

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

Author						Papers	Cites
Graham Wilks	454	394	262	76	43	45	560
E. Ghasemi	299 0.7×	254 0.6×	215 0.8×	47 0.6×	56 1.3×	27	553
Gang Wang	399 0.9×	231 0.6×	294 1.1×	32 0.4×	19 0.4×	42	654
V. M. K. Sastri	342 0.8×	266 0.7×	374 1.4×	15 0.2×	44 1.0×	59	602
Raseelo J. Moitsheki	197 0.4×	343 0.9×	443 1.7×	72 0.9×	23 0.5×	56	684
Samuel S. Okoya	352 0.8×	508 1.3×	341 1.3×	24 0.3×	54 1.3×	42	627
D. Angirasa	448 1.0×	435 1.1×	351 1.3×	14 0.2×	37 0.9×	34	615
A. A. Raptis	502 1.1×	552 1.4×	290 1.1×	18 0.2×	25 0.6×	32	604
D. R. Jeng	346 0.8×	393 1.0×	287 1.1×	16 0.2×	42 1.0×	32	539
S. Olek	258 0.6×	196 0.5×	185 0.7×	51 0.7×	45 1.0×	31	566
Pallath Chandran	477 1.1×	607 1.5×	389 1.5×	16 0.2×	20 0.5×	38	659

Countries citing papers authored by Graham Wilks

Since Specialization

Citations

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

Fields of papers citing papers by Graham Wilks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Wilks

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