Simon P. Neill

5.9k total citations
103 papers, 4.4k citations indexed

About

Simon P. Neill is a scholar working on Oceanography, Atmospheric Science and Earth-Surface Processes. According to data from OpenAlex, Simon P. Neill has authored 103 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Oceanography, 40 papers in Atmospheric Science and 36 papers in Earth-Surface Processes. Recurrent topics in Simon P. Neill's work include Oceanographic and Atmospheric Processes (41 papers), Tropical and Extratropical Cyclones Research (33 papers) and Ocean Waves and Remote Sensing (32 papers). Simon P. Neill is often cited by papers focused on Oceanographic and Atmospheric Processes (41 papers), Tropical and Extratropical Cyclones Research (33 papers) and Ocean Waves and Remote Sensing (32 papers). Simon P. Neill collaborates with scholars based in United Kingdom, United States and Iran. Simon P. Neill's co-authors include M. Reza Hashemi, Peter Robins, Matt Lewis, Matthew Lewis, Scott Couch, Sophie Ward, A.G. Davies, James Scourse, J.R. Jordan and Nicolas Guillou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Simon P. Neill

98 papers receiving 4.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Simon P. Neill United Kingdom 37 1.7k 1.4k 1.1k 1000 949 103 4.4k
M. Gómez‐Gesteira Spain 56 3.0k 1.8× 1.1k 0.8× 1.1k 1.0× 2.0k 2.0× 1.7k 1.8× 275 10.9k
Peter Robins United Kingdom 41 809 0.5× 588 0.4× 595 0.6× 444 0.4× 402 0.4× 114 5.9k
Jinhai Zheng China 34 758 0.5× 497 0.4× 1.1k 1.0× 668 0.7× 1.7k 1.7× 209 3.9k
David Z. Zhu Canada 37 267 0.2× 273 0.2× 1.8k 1.7× 239 0.2× 305 0.3× 351 5.7k
M. deCastro Spain 39 2.2k 1.3× 432 0.3× 677 0.6× 882 0.9× 345 0.4× 114 3.8k
Eize J. Stamhuis Netherlands 32 327 0.2× 1.4k 1.0× 810 0.8× 142 0.1× 131 0.1× 92 5.6k
Wenrui Huang United States 34 1.1k 0.7× 127 0.1× 749 0.7× 741 0.7× 727 0.8× 177 3.9k
Rodolfo Silva Mexico 34 941 0.6× 183 0.1× 1.6k 1.5× 747 0.7× 2.0k 2.1× 291 4.4k
Arko Lucieer Australia 40 235 0.1× 1.2k 0.9× 3.6k 3.4× 1.0k 1.0× 165 0.2× 156 8.9k
Michael P. Schultz United States 43 469 0.3× 850 0.6× 653 0.6× 135 0.1× 213 0.2× 90 6.9k

Countries citing papers authored by Simon P. Neill

Since Specialization
Citations

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

Fields of papers citing papers by Simon P. Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon P. Neill. 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 Simon P. Neill. The network helps show where Simon P. Neill may publish in the future.

Co-authorship network of co-authors of Simon P. Neill

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

All Works

20 of 20 papers shown
1.
Chisholm, J. E., Michael J. Roberts, Peter Robins, et al.. (2025). Resource characterization of a commercial tidal stream energy site: Morlais, Irish Sea. Renewable Energy. 247. 122952–122952.
2.
Neill, Simon P., et al.. (2025). The co-location of wind and wave energy at multiple global sites. Renewable Energy. 255. 123765–123765. 1 indexed citations
3.
Milford, C., et al.. (2025). Influence of the phase relationship between tidal currents and elevations on tidal energy conversion. Renewable Energy. 247. 122774–122774. 1 indexed citations
4.
Robins, Peter, et al.. (2024). Assessing hydrodynamic impacts of tidal range energy impoundments in UK coastal waters. Renewable Energy. 237. 121601–121601. 1 indexed citations
5.
Neill, Simon P., et al.. (2024). Predicting coastal wave conditions: A simple machine learning approach. Applied Ocean Research. 153. 104282–104282. 4 indexed citations
6.
Neill, Simon P., et al.. (2023). Characterising the wave energy resource of Lanzarote, Canary Islands. Renewable Energy. 206. 1198–1211. 8 indexed citations
7.
Lawrence, Peter J., Paul R. Brooks, Sophie Ward, et al.. (2023). Habitat structure shapes temperate reef assemblages across regional environmental gradients. The Science of The Total Environment. 906. 167494–167494. 4 indexed citations
8.
Neill, Simon P., et al.. (2023). Characterizing seabed sediments at contrasting offshore renewable energy sites. Frontiers in Marine Science. 10. 10 indexed citations
9.
Robins, Peter, et al.. (2022). The role of wind in controlling the connectivity of blue mussels (Mytilus edulis L.) populations. Movement Ecology. 10(1). 3–3. 17 indexed citations
10.
Coles, Daniel, Athanasios Angeloudis, Deborah Greaves, et al.. (2021). A review of the UK and British Channel Islands practical tidal stream energy resource. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 477(2255). 20210469–20210469. 67 indexed citations
11.
Lewis, Matthew, et al.. (2021). A standardised tidal-stream power curve, optimised for the global resource. Renewable Energy. 170. 1308–1323. 33 indexed citations
12.
Farhadzadeh, Ali, M. Reza Hashemi, & Simon P. Neill. (2017). Characterizing the Great Lakes hydrokinetic renewable energy resource: Lake Erie wave, surge and seiche characteristics. Energy. 128. 661–675. 15 indexed citations
13.
Neill, Simon P., et al.. (2017). The wave and tidal resource of Scotland. Renewable Energy. 114. 3–17. 89 indexed citations
14.
Hashemi, M. Reza, et al.. (2015). Some numerical aspects of modelling flow around hydraulic structures using incompressible SPH. Computers & Mathematics with Applications. 69(12). 1470–1483. 12 indexed citations
15.
Ward, Sophie, et al.. (2015). Characterizing the tidal energy resource of the West Anglesey Demonstration Zone (UK), using TELEMAC-2D and field observations. Hydraulic Engineering Repository (HENRY) (Bundesanstalt für Wasserbau). 195–203. 5 indexed citations
16.
Dawson, Michael N, Simon P. Neill, Peter Robins, et al.. (2013). Identification of genetically and oceanographically distinct blooms of jellyfish - DUPE OF DU:30098064. Journal of The Royal Society Interface. 10(80). 1–11. 242 indexed citations
17.
Murray, Lee G., et al.. (2013). Environmental drivers of small scale spatial variation in the reproductive schedule of a commercially important bivalve mollusc. Marine Environmental Research. 92. 144–153. 6 indexed citations
18.
Neill, Simon P., J.R. Jordan, & Scott Couch. (2011). Impact of Tidal Stream Turbines on Sand Bank Dynamics. Linköping electronic conference proceedings. 57. 2238–2245. 1 indexed citations
19.
Fonseca, Vera G., Gary R. Carvalho, Way Sung, et al.. (2010). Second-generation environmental sequencing unmasks marine metazoan biodiversity. Nature Communications. 1(1). 98–98. 280 indexed citations
20.
Wakelin, Sarah, et al.. (2005). Modelling of SAR Signatures of Bathymetric Features in the Bristol Channel Using a Coupled Wave-Current Model (11). ESASP. 572.

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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