Tim Stallard

3.0k total citations
119 papers, 2.3k citations indexed

About

Tim Stallard is a scholar working on Aerospace Engineering, Computational Mechanics and Ocean Engineering. According to data from OpenAlex, Tim Stallard has authored 119 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 40 papers in Computational Mechanics and 38 papers in Ocean Engineering. Recurrent topics in Tim Stallard's work include Wind Energy Research and Development (66 papers), Wave and Wind Energy Systems (35 papers) and Cavitation Phenomena in Pumps (24 papers). Tim Stallard is often cited by papers focused on Wind Energy Research and Development (66 papers), Wave and Wind Energy Systems (35 papers) and Cavitation Phenomena in Pumps (24 papers). Tim Stallard collaborates with scholars based in United Kingdom, France and Belgium. Tim Stallard's co-authors include Peter Stansby, Tao Feng, David Apsley, Efrain Carpintero Moreno, Imran Afgan, J.L. McNAUGHTON, Stefano Rolfo, S.D. Weller, Grégory Payne and Umair Ahmed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Fluid Mechanics.

In The Last Decade

Tim Stallard

114 papers receiving 2.2k citations

Author Peers

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

Author Last Decade Papers Cites
Tim Stallard 1.5k 981 879 541 358 119 2.3k
L.E. Myers 1.6k 1.1× 508 0.5× 429 0.5× 559 1.0× 103 0.3× 46 2.1k
Irene Penesis 635 0.4× 703 0.7× 567 0.6× 185 0.3× 281 0.8× 112 1.7k
Scott Draper 929 0.6× 610 0.6× 847 1.0× 228 0.4× 426 1.2× 139 2.3k
Muk Chen Ong 707 0.5× 1.1k 1.1× 1.5k 1.7× 190 0.4× 594 1.7× 277 2.9k
W.M.J. Batten 1.8k 1.3× 513 0.5× 573 0.7× 804 1.5× 62 0.2× 27 2.1k
Richard G.J. Flay 1.3k 0.9× 380 0.4× 797 0.9× 180 0.3× 149 0.4× 133 2.1k
Timothy O'Doherty 1.2k 0.8× 396 0.4× 1.3k 1.5× 452 0.8× 50 0.1× 108 2.2k
Wanan Sheng 735 0.5× 1.3k 1.3× 1000 1.1× 63 0.1× 567 1.6× 77 1.8k
Ke Sun 583 0.4× 648 0.7× 517 0.6× 141 0.3× 240 0.7× 89 1.3k
Morten Kramer 469 0.3× 1.3k 1.3× 690 0.8× 93 0.2× 625 1.7× 61 1.6k

Countries citing papers authored by Tim Stallard

Since Specialization
Citations

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

Fields of papers citing papers by Tim Stallard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Stallard

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Stallard. A scholar is included among the top collaborators of Tim Stallard 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 Tim Stallard. Tim Stallard 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.
Ouro, Pablo, et al.. (2025). Numerical modelling of offshore wind-farm cluster wakes. Renewable and Sustainable Energy Reviews. 215. 115526–115526. 3 indexed citations
2.
Ouro, Pablo, et al.. (2025). Synthesis and characterisation of turbulent flows to predict fatigue loading of tidal turbines in arrays. Journal of Fluids and Structures. 136. 104321–104321. 2 indexed citations
3.
Ouro, Pablo, et al.. (2025). Direct integration of non-axisymmetric Gaussian wind-turbine wake including yaw and wind-veer effects. Wind energy science. 10(3). 511–533.
4.
Stallard, Tim, et al.. (2024). Sensitivity of the Prediction of Wind Turbine Wakes to the Sub-Grid Scale Model. Journal of Physics Conference Series. 2767(9). 92106–92106. 4 indexed citations
5.
Ouro, Pablo, Alona Armstrong, Barbara Brooks, et al.. (2024). Environmental impacts from large-scale offshore renewable-energy deployment. Environmental Research Letters. 19(6). 63001–63001. 10 indexed citations
6.
Ouro, Pablo, et al.. (2024). Wake characteristics behind a tidal turbine with surface waves in turbulent flow analyzed with large-eddy simulation. Physical Review Fluids. 9(3). 12 indexed citations
7.
Harvey, Simon, David A. Rowe, J.L. McNAUGHTON, et al.. (2023). Tidal Turbine Benchmarking Project: Stage I - Steady Flow Experiments. Research Explorer (The University of Manchester). 15. 4 indexed citations
8.
Stallard, Tim, et al.. (2023). Characterisation of turbulent flow and the wake of a tidal stream turbine in proximity to a ridge. Research Explorer (The University of Manchester). 15. 2 indexed citations
9.
Mackay, Eric, Philipp R. Thies, Jérôme Thiébot, et al.. (2023). Overview of ressources and turbine modelling in the Tidal Stream industry Energiser Project: TIGER. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
10.
Stallard, Tim, et al.. (2023). Turbine fatigue load prediction from field measurements of waves and turbulence. Research Explorer (The University of Manchester). 15. 3 indexed citations
11.
Draycott, Samuel, Jérôme Thiébot, Sylvain Guillou, et al.. (2023). Evaluation of Model Predictions of the Unsteady Tidal Stream Resource and Turbine Fatigue Loads Relative to Multi-Point Flow Measurements at Raz Blanchard. Energies. 16(20). 7057–7057. 5 indexed citations
12.
Stallard, Tim, et al.. (2023). Large-eddy simulations of interaction between surface waves and a tidal turbine wake in a turbulent channel. Research Explorer (The University of Manchester). 15. 4 indexed citations
13.
Stansby, Peter, et al.. (2022). Accuracy of WRF for prediction of operational wind farm data and assessment of influence of upwind farms on power production. Energy. 254. 124362–124362. 23 indexed citations
14.
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
15.
Ahmed, Umair, David Apsley, Tim Stallard, Peter Stansby, & Imran Afgan. (2020). Turbulent length scales and budgets of Reynolds stress-transport for open-channel flows; friction Reynolds numbers Reτ = 150, 400 and 1020. Journal of Hydraulic Research. 59(1). 36–50. 30 indexed citations
16.
17.
Payne, Grégory, et al.. (2018). Variation of loads on a three-bladed horizontal axis tidal turbine with frequency and blade position. Journal of Fluids and Structures. 83. 156–170. 38 indexed citations
18.
Dalton, Gordon, Grant Allan, Nicola Beaumont, et al.. (2015). Economic and socio-economic assessment methods for ocean renewable energy: Public and private perspectives. Renewable and Sustainable Energy Reviews. 45. 850–878. 67 indexed citations
19.
Stratigaki, Vicky, Peter Troch, Tim Stallard, et al.. (2014). Wave Basin Experiments with Large Wave Energy Converter Arrays to Study Interactions between the Converters and Effects on Other Users in the Sea and the Coastal Area. Energies. 7(2). 701–734. 86 indexed citations
20.
Weller, S.D., Tim Stallard, & Peter Stansby. (2010). Response of a Small Array Due to Irregular Waves: Comparison to Predictions Based On Measured Regular Wave Response. 2 indexed citations

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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