Jesse Capecelatro

2.4k total citations · 1 hit paper
72 papers, 1.8k citations indexed

About

Jesse Capecelatro is a scholar working on Computational Mechanics, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Jesse Capecelatro has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computational Mechanics, 57 papers in Ocean Engineering and 13 papers in Aerospace Engineering. Recurrent topics in Jesse Capecelatro's work include Particle Dynamics in Fluid Flows (55 papers), Granular flow and fluidized beds (36 papers) and Fluid Dynamics and Turbulent Flows (19 papers). Jesse Capecelatro is often cited by papers focused on Particle Dynamics in Fluid Flows (55 papers), Granular flow and fluidized beds (36 papers) and Fluid Dynamics and Turbulent Flows (19 papers). Jesse Capecelatro collaborates with scholars based in United States, France and China. Jesse Capecelatro's co-authors include Olivier Desjardins, Rodney O. Fox, Yuan Yao, Perrine Pepiot, Bo Kong, Justin L. Wagner, Ravi G. Patel, Shankar Subramaniam, Guiquan Wang and Jonathan B. Freund and has published in prestigious journals such as Nature Communications, Journal of Fluid Mechanics and Advanced Drug Delivery Reviews.

In The Last Decade

Jesse Capecelatro

65 papers receiving 1.8k citations

Hit Papers

An Euler–Lagrange strategy for simulating particle-laden ... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Capecelatro United States 23 1.5k 1.3k 203 157 142 72 1.8k
Markus Uhlmann Germany 20 2.4k 1.6× 959 0.7× 308 1.5× 154 1.0× 302 2.1× 48 2.8k
Jacek Pozorski Poland 20 1.1k 0.7× 515 0.4× 93 0.5× 106 0.7× 86 0.6× 70 1.3k
A. Yu. Varaksin Russia 23 721 0.5× 546 0.4× 90 0.4× 108 0.7× 172 1.2× 75 1.1k
Gustaaf B. Jacobs United States 20 882 0.6× 335 0.3× 52 0.3× 123 0.8× 313 2.2× 88 1.2k
John D. Schwarzkopf United States 9 1.4k 0.9× 887 0.7× 116 0.6× 297 1.9× 305 2.1× 18 2.1k
A.W. Vreman Netherlands 23 2.1k 1.4× 555 0.4× 117 0.6× 160 1.0× 624 4.4× 45 2.6k
Rama Govindarajan India 22 1.5k 1.0× 289 0.2× 66 0.3× 638 4.1× 126 0.9× 122 2.0k
Malte A. Peter Germany 21 409 0.3× 368 0.3× 274 1.3× 129 0.8× 72 0.5× 63 1.3k
A.A. Korobkin United Kingdom 31 2.6k 1.7× 1.2k 1.0× 374 1.8× 48 0.3× 279 2.0× 182 3.1k
Chia‐Cheng Tsai Taiwan 23 710 0.5× 213 0.2× 285 1.4× 199 1.3× 38 0.3× 111 1.7k

Countries citing papers authored by Jesse Capecelatro

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Capecelatro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Capecelatro

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Capecelatro. A scholar is included among the top collaborators of Jesse Capecelatro 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 Jesse Capecelatro. Jesse Capecelatro 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.
Capecelatro, Jesse, et al.. (2025). Dusty streaks on the Moon: fingerprints of multiphase flow instabilities. Nature Communications. 16(1). 6670–6670. 1 indexed citations
2.
Wooldridge, Margaret S., et al.. (2025). Impact of Turbulence on Combustion Performance in Non-Assist Waste Gas Flares. Flow Turbulence and Combustion. 116(1).
3.
Capecelatro, Jesse, et al.. (2025). Effects of crosswind and shroud geometry on performance of low-flow, nonassisted flares. Journal of the Air & Waste Management Association. 76(1). 28–48.
4.
Fox, Rodney O., et al.. (2025). Turbulence transport in moderately dense gas–particle compressible flows. Journal of Fluid Mechanics. 1023.
5.
Capecelatro, Jesse, et al.. (2025). Imprints of turbulence on heterogeneous deposition of adhesive particles. Physical Review Fluids. 10(10).
6.
Capecelatro, Jesse, et al.. (2025). A coupled IBM/Euler-Lagrange framework for simulating shock-induced particle size segregation. Acta Mechanica Sinica. 42(1).
7.
Yao, Yuan, et al.. (2023). A critical assessment of the Energy Minimization Multi-Scale (EMMS) model. Powder Technology. 425. 118569–118569. 6 indexed citations
8.
Capecelatro, Jesse, et al.. (2023). Comprehensive Quasi-Steady Force Correlations for Compressible Flowthrough Random Particle Suspensions. SSRN Electronic Journal. 1 indexed citations
9.
Capecelatro, Jesse, et al.. (2023). Comprehensive quasi-steady force correlations for compressible flow through random particle suspensions. International Journal of Multiphase Flow. 165. 104485–104485. 20 indexed citations
10.
Capecelatro, Jesse, et al.. (2022). A discrete-adjoint framework for optimizing high-fidelity simulations of turbulent reacting flows. Proceedings of the Combustion Institute. 39(4). 5375–5384. 4 indexed citations
11.
Subramaniam, Shankar, et al.. (2022). Fluid-mediated sources of granular temperature at finite Reynolds numbers. Journal of Fluid Mechanics. 942. 10 indexed citations
12.
Pecha, M. Brennan, et al.. (2022). Fast estimation of reaction rates in spherical and non-spherical porous catalysts. Chemical Engineering Journal. 454. 139637–139637. 4 indexed citations
13.
Capecelatro, Jesse, et al.. (2022). Recent developments in the computational simulation of dry powder inhalers. Advanced Drug Delivery Reviews. 188. 114461–114461. 16 indexed citations
14.
Capecelatro, Jesse, et al.. (2022). Influence of expiratory flow pulsatility on the effectiveness of a surgical mask. Journal of Exposure Science & Environmental Epidemiology. 32(5). 697–705. 4 indexed citations
15.
Zhang, Zhihang, Jesse Capecelatro, & Kevin J. Maki. (2021). On the utility of a well-mixed model for predicting disease transmission on an urban bus. AIP Advances. 11(8). 85229–85229. 8 indexed citations
16.
Subramaniam, Shankar, et al.. (2020). Stochastic models for capturing dispersion in particle-laden flows. Journal of Fluid Mechanics. 903. 25 indexed citations
17.
Capecelatro, Jesse, et al.. (2019). Optimal perturbations for controlling the growth of a Rayleigh–Taylor instability. Journal of Fluid Mechanics. 876. 150–185. 19 indexed citations
18.
Goyal, Himanshu, Olivier Desjardins, Perrine Pepiot, & Jesse Capecelatro. (2018). A computational study of the effects of multiphase dynamics in catalytic upgrading of biomass pyrolysis vapor. AIChE Journal. 64(9). 3341–3353. 15 indexed citations
19.
Ireland, Peter J., Jesse Capecelatro, Rodney O. Fox, & Olivier Desjardins. (2015). Correcting velocity and volume-fraction calculations in two-way-coupled, particle-laden-flow simulations. Bulletin of the American Physical Society. 1 indexed citations
20.
Capecelatro, Jesse, Perrine Pepiot, & Olivier Desjardins. (2010). Eulerian-Lagrangian Simulations of Three-Dimensional Turbulent Riser Flows. Bulletin of the American Physical Society. 63.

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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