Mark Kelly

3.0k total citations
101 papers, 1.7k citations indexed

About

Mark Kelly is a scholar working on Environmental Engineering, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Mark Kelly has authored 101 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Environmental Engineering, 39 papers in Atmospheric Science and 39 papers in Aerospace Engineering. Recurrent topics in Mark Kelly's work include Wind and Air Flow Studies (53 papers), Wind Energy Research and Development (35 papers) and Meteorological Phenomena and Simulations (33 papers). Mark Kelly is often cited by papers focused on Wind and Air Flow Studies (53 papers), Wind Energy Research and Development (35 papers) and Meteorological Phenomena and Simulations (33 papers). Mark Kelly collaborates with scholars based in Denmark, United Kingdom and United States. Mark Kelly's co-authors include P. van der Laan, Nikolay Dimitrov, Jakob Mann, Niels N. Sørensen, Sven‐Erik Gryning, Niels Troldborg, Pierre‐Elouan Réthoré, Jacob Berg, Gunner Chr. Larsen and Andrey Sogachev and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, The Journal of the Acoustical Society of America and Journal of the Atmospheric Sciences.

In The Last Decade

Mark Kelly

99 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Kelly Denmark 22 937 924 450 377 185 101 1.7k
Richard G.J. Flay New Zealand 26 995 1.1× 1.3k 1.4× 797 1.8× 285 0.8× 126 0.7× 133 2.1k
Zhenru Shu China 20 756 0.8× 650 0.7× 196 0.4× 273 0.7× 314 1.7× 65 1.4k
Catherine Gorlé United States 22 960 1.0× 510 0.6× 504 1.1× 301 0.8× 103 0.6× 62 1.5k
Yuncheng He China 27 1.1k 1.1× 425 0.5× 350 0.8× 738 2.0× 272 1.5× 131 2.2k
Marc Calaf United States 25 1.5k 1.6× 1.2k 1.3× 975 2.2× 461 1.2× 328 1.8× 69 2.4k
Shuyang Cao China 30 1.7k 1.9× 968 1.0× 1.2k 2.7× 859 2.3× 90 0.5× 142 2.6k
J. A. Peterka United States 22 1.1k 1.2× 631 0.7× 807 1.8× 273 0.7× 38 0.2× 75 1.7k
Jeroen van Beeck Belgium 26 1.3k 1.4× 842 0.9× 593 1.3× 669 1.8× 113 0.6× 112 2.2k
Raúl Bayoán Cal United States 26 1.1k 1.2× 1.4k 1.5× 1.3k 2.9× 59 0.2× 169 0.9× 128 2.1k
Sheng Dong China 25 446 0.5× 278 0.3× 336 0.7× 590 1.6× 228 1.2× 202 2.3k

Countries citing papers authored by Mark Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Kelly. A scholar is included among the top collaborators of Mark Kelly 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 Mark Kelly. Mark Kelly 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.
Gilbert, Edmund, Sophie Binks, Valentina Damato, et al.. (2025). The gut microbiome associated with LGI1 ‐antibody encephalitis. Epilepsia. 66(11). 4411–4424.
3.
Quick, Julian, Juan Pablo Murcia León, Nikolay Dimitrov, et al.. (2024). Wind speed vertical extrapolation model validation under uncertainty. Renewable Energy. 240. 122028–122028. 1 indexed citations
4.
Laan, P. van der, et al.. (2024). A simple steady-state inflow model of the neutral and stable atmospheric boundary layer applied to wind turbine wake simulations. Wind energy science. 9(10). 1985–2000. 1 indexed citations
5.
Kelly, Mark & P. van der Laan. (2023). From shear to veer: theory, statistics, and practical application. Wind energy science. 8(6). 975–998. 14 indexed citations
6.
Badger, Merete, et al.. (2023). Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment. Energies. 16(9). 3819–3819. 5 indexed citations
7.
Kelly, Mark, et al.. (2023). Sensitivity of the predicted acoustic pressure field to the wind and temperature profiles in a conventionally neutral boundary layer. The Journal of the Acoustical Society of America. 154(2). 763–771. 1 indexed citations
8.
Kelly, Mark, et al.. (2022). Effective Roughness and Displaced Mean Flow over Complex Terrain. Boundary-Layer Meteorology. 186(1). 93–123. 2 indexed citations
9.
Kelly, Mark, et al.. (2021). Statistical impact of wind-speed ramp events on turbines, via observations and coupled fluid-dynamic and aeroelastic simulations. Wind energy science. 6(5). 1227–1245. 2 indexed citations
10.
Laan, P. van der, et al.. (2021). A pressure-driven atmospheric boundary layer model satisfying Rossby and Reynolds number similarity. Wind energy science. 6(3). 777–790. 7 indexed citations
11.
Sogachev, Andrey, et al.. (2020). Numerical modelling of the wind over forests: roughness versus canopy drag. Advances in science and research. 17. 53–61. 2 indexed citations
12.
Laan, P. van der, Søren Juhl Andersen, Néstor Ramos‐García, et al.. (2019). Power curve and wake analyses of the Vestas multi-rotor demonstrator. Wind energy science. 4(2). 251–271. 58 indexed citations
13.
Kelly, Mark, et al.. (2018). Statistical prediction of far-field wind-turbine noise, with probabilistic characterization of atmospheric stability. Journal of Renewable and Sustainable Energy. 10(1). 7 indexed citations
14.
Bolaños, Rodolfo, et al.. (2018). Wave boundary layer model in SWAN revisited. 1 indexed citations
15.
Réthoré, Pierre‐Elouan, Andreas Bechmann, Niels N. Sørensen, et al.. (2016). Comparison of OpenFOAM and EllipSys3D for neutral atmospheric flow over complex terrain. Wind energy science. 1(1). 55–70. 21 indexed citations
16.
Réthoré, Pierre‐Elouan, Andreas Bechmann, Niels N. Sørensen, et al.. (2016). Comparison of OpenFOAM and EllipSys3D for neutral atmospheric flow over complex terrain. 3 indexed citations
17.
Machefaux, Ewan, Gunner Chr. Larsen, Niels Troldborg, et al.. (2015). An experimental and numerical study of the atmospheric stability impact on wind turbine wakes. Wind Energy. 19(10). 1785–1805. 67 indexed citations
18.
Vincent, Claire, Jake Badger, Andrea N. Hahmann, & Mark Kelly. (2013). The response of mesoscale models to changes in surface roughness. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 15. 2 indexed citations
19.
Hahmann, Andrea N., Claire Vincent, & Mark Kelly. (2010). Applications of Self Organizing Maps in Wind Energy Meteorology. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2 indexed citations
20.
Kelly, Mark, et al.. (1979). Non-Hodgkins lymphoma involving the optic nerve.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 11(10). 1477–80. 12 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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