Marc Calaf

3.4k total citations · 1 hit paper
69 papers, 2.4k citations indexed

About

Marc Calaf is a scholar working on Environmental Engineering, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Marc Calaf has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Environmental Engineering, 29 papers in Computational Mechanics and 25 papers in Aerospace Engineering. Recurrent topics in Marc Calaf's work include Wind and Air Flow Studies (43 papers), Wind Energy Research and Development (22 papers) and Fluid Dynamics and Turbulent Flows (19 papers). Marc Calaf is often cited by papers focused on Wind and Air Flow Studies (43 papers), Wind Energy Research and Development (22 papers) and Fluid Dynamics and Turbulent Flows (19 papers). Marc Calaf collaborates with scholars based in United States, Switzerland and Austria. Marc Calaf's co-authors include Charles Meneveau, Johan Meyers, Raúl Bayoán Cal, M. B. Parlange, Ivana Stiperski, Chad W. Higgins, Elnaz Hassanpour Adeh, Stephen P. Good, Gerard Cortina and Naseem Ali and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Journal of Fluid Mechanics.

In The Last Decade

Marc Calaf

67 papers receiving 2.4k citations

Hit Papers

Large eddy simulation study of fully developed wind-turbi... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Calaf United States 25 1.5k 1.2k 975 461 395 69 2.4k
Horia Hangan Canada 32 2.2k 1.4× 1.1k 0.9× 1.4k 1.4× 1.1k 2.3× 306 0.8× 137 3.0k
Luciano Castillo United States 30 1.4k 0.9× 1.5k 1.3× 1.8k 1.8× 142 0.3× 323 0.8× 156 3.2k
Alfredo Peña Denmark 34 1.8k 1.1× 2.1k 1.8× 627 0.6× 1.3k 2.9× 658 1.7× 149 3.5k
Yuji Ohya Japan 28 1.7k 1.1× 1.9k 1.6× 1.3k 1.3× 352 0.8× 197 0.5× 131 3.0k
Hyun‐Goo Kim South Korea 18 407 0.3× 451 0.4× 141 0.1× 259 0.6× 161 0.4× 230 1.6k
Andrew Clifton United States 22 581 0.4× 798 0.7× 194 0.2× 589 1.3× 253 0.6× 46 1.8k
Jake Badger Denmark 24 572 0.4× 816 0.7× 100 0.1× 655 1.4× 399 1.0× 77 1.7k
Raúl Bayoán Cal United States 26 1.1k 0.7× 1.4k 1.2× 1.3k 1.3× 59 0.1× 87 0.2× 128 2.1k
Caroline Draxl United States 21 495 0.3× 583 0.5× 109 0.1× 598 1.3× 429 1.1× 47 2.0k
Erik Lundtang Petersen Denmark 17 711 0.5× 774 0.7× 172 0.2× 483 1.0× 331 0.8× 53 1.5k

Countries citing papers authored by Marc Calaf

Since Specialization
Citations

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

Fields of papers citing papers by Marc Calaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Calaf

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Calaf. A scholar is included among the top collaborators of Marc Calaf 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 Marc Calaf. Marc Calaf 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.
Harman, Todd, et al.. (2024). Barriers and variable spacing enhance convective cooling and increase power output in solar PV plants. Journal of Renewable and Sustainable Energy. 16(1). 1 indexed citations
2.
Calaf, Marc, et al.. (2024). Debris-induced consequences on turbulence and vorticity in solar photovoltaic module-generated array wakes. Journal of Renewable and Sustainable Energy. 16(3).
3.
Calaf, Marc, et al.. (2024). Momentum Transport in Heterogeneous Forest Canopies. Boundary-Layer Meteorology. 191(1).
5.
Calaf, Marc, et al.. (2022). A Lacunarity‐Based Index for Spatial Heterogeneity. Earth and Space Science. 9(8). 8 indexed citations
6.
Calaf, Marc, et al.. (2022). Incorporating the effect of heterogeneous surface heating into a semi-empirical model of the surface energy balance closure. PLoS ONE. 17(6). e0268097–e0268097. 12 indexed citations
7.
Silverman, Timothy J., et al.. (2022). Technoeconomic Analysis of Changing PV Array Convective Cooling Through Changing Array Spacing. IEEE Journal of Photovoltaics. 12(6). 1586–1592. 7 indexed citations
8.
Ali, Naseem, et al.. (2022). Viewing convection as a solar farm phenomenon broadens modern power predictions for solar photovoltaics. Journal of Renewable and Sustainable Energy. 14(6). 13 indexed citations
9.
Harman, Todd, et al.. (2022). Row spacing as a controller of solar module temperature and power output in solar farms. Journal of Renewable and Sustainable Energy. 14(6). 13 indexed citations
10.
Ali, Naseem, Marc Calaf, & Raúl Bayoán Cal. (2021). Cluster-based probabilistic structure dynamical model of wind turbine wake. Journal of Turbulence. 22(8). 497–516. 9 indexed citations
11.
Ali, Naseem, Marc Calaf, & Raúl Bayoán Cal. (2021). Clustering sparse sensor placement identification and deep learning based forecasting for wind turbine wakes. Journal of Renewable and Sustainable Energy. 13(2). 28 indexed citations
12.
Stiperski, Ivana, Marcelo Chamecki, & Marc Calaf. (2021). Anisotropy of Unstably Stratified Near-Surface Turbulence. Boundary-Layer Meteorology. 180(3). 363–384. 15 indexed citations
13.
Stiperski, Ivana, Gabriel G. Katul, & Marc Calaf. (2021). Universal Return to Isotropy of Inhomogeneous Atmospheric Boundary Layer Turbulence. Physical Review Letters. 126(19). 194501–194501. 18 indexed citations
14.
Ali, Naseem, et al.. (2020). Effects of height configuration on heat shedding and flow characteristics in a model solar PV farm. Bulletin of the American Physical Society. 1 indexed citations
15.
Harman, Todd, et al.. (2020). The influence of streamwise row spacing on convective heat transfer in solar photovoltaic arrays. Bulletin of the American Physical Society. 1 indexed citations
16.
Stiperski, Ivana, Marc Calaf, & Mathias W. Rotach. (2019). Scaling, Anisotropy, and Complexity in Near‐Surface Atmospheric Turbulence. Journal of Geophysical Research Atmospheres. 124(3). 1428–1448. 48 indexed citations
17.
Hamilton, Nicholas, et al.. (2018). A generalized framework for reduced‐order modeling of a wind turbine wake. Wind Energy. 21(6). 373–390. 41 indexed citations
18.
Giometto, Marco G., et al.. (2018). Comparison of dealiasing schemes in large-eddy simulation of neutrally stratified atmospheric flows. Geoscientific model development. 11(10). 4069–4084. 16 indexed citations
19.
Cortina, Gerard, Marc Calaf, & Raúl Bayoán Cal. (2016). Distribution of mean kinetic energy around an isolated wind turbine and a characteristic wind turbine of a very large wind farm. Physical Review Fluids. 1(7). 42 indexed citations
20.
Meneveau, Charles, Marc Calaf, & Johan Meyers. (2009). Large Eddy Simulation study of the fully developed wind-turbine array boundary layer. Bulletin of the American Physical Society. 54(19). 1 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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