N. Wood

15 total papers · 536 total citations
11 papers, 436 citations indexed

About

N. Wood is a scholar working on Computational Mechanics, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, N. Wood has authored 11 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Mechanics, 6 papers in Environmental Engineering and 4 papers in Atmospheric Science. Recurrent topics in N. Wood's work include Fluid Dynamics and Turbulent Flows (7 papers), Wind and Air Flow Studies (6 papers) and Meteorological Phenomena and Simulations (4 papers). N. Wood is often cited by papers focused on Fluid Dynamics and Turbulent Flows (7 papers), Wind and Air Flow Studies (6 papers) and Meteorological Phenomena and Simulations (4 papers). N. Wood collaborates with scholars based in United Kingdom and Slovakia. N. Wood's co-authors include A. R. Brown, Eleanor Blyth, A. J. Dolman, Chris Huntingford, A. L. M. Grant, Shan Zhong, Stephen Gabriel and A.R. Chambers and has published in prestigious journals such as Journal of the Atmospheric Sciences, Quarterly Journal of the Royal Meteorological Society and Boundary-Layer Meteorology.

In The Last Decade

N. Wood

11 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
N. Wood 251 231 219 129 103 11 436
Paul Mason 189 0.8× 170 0.7× 199 0.9× 75 0.6× 86 0.8× 12 370
Holly J. Oldroyd 216 0.9× 139 0.6× 201 0.9× 96 0.7× 41 0.4× 19 384
J Garratt 293 1.2× 139 0.6× 271 1.2× 45 0.3× 25 0.2× 5 459
S.J. Arnold 165 0.7× 270 1.2× 125 0.6× 49 0.4× 57 0.6× 10 405
Nobuhisa Yasuda 271 1.1× 160 0.7× 210 1.0× 90 0.7× 29 0.3× 16 369
G. A. Corby 306 1.2× 93 0.4× 181 0.8× 67 0.5× 61 0.6× 15 428
Yannick Meillier 284 1.1× 226 1.0× 200 0.9× 103 0.8× 28 0.3× 9 392
M. Coantic 181 0.7× 87 0.4× 151 0.7× 130 1.0× 79 0.8× 21 439
Livia S. Freire 203 0.8× 90 0.4× 224 1.0× 101 0.8× 83 0.8× 25 369
Reina Nakamura 253 1.0× 176 0.8× 241 1.1× 77 0.6× 23 0.2× 6 380

Countries citing papers authored by N. Wood

Since Specialization
Citations

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

Fields of papers citing papers by N. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Wood

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