Daniel Livescu

2.9k citations
106 papers · 2.0k indexed · h-index 26

Impact in

Papers in

Daniel Livescu

103 papers receiving 1.9k citations

Peers

Daniel Livescu
Comparison fields: 5 of 79
  • Computational Mechanics 1.6k
  • Nuclear and High Energy Physics 545
  • Ocean Engineering 377
  • Statistical and Nonlinear Physics 245
  • Environmental Engineering 218
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Citations per year

Countries citing papers authored by Daniel Livescu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Livescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Livescu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Livescu Line = papers co-authored together Daniel Livescu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20241
4 20241
5 20240
6 202313
7 20234
8 20238
9 20221
10
Embedding Hard Physical Constraints in Convolutional Neural Networks for 3D Turbulence
202011
11
Wavelet-Powered Neural Networks for Turbulence
20203
12 202012
13
Physics Informed Learning of Lagrangian Turbulence: Velocity Gradient Tensor over Inertial-Range Geometry
20191
14
PEVC-FMDF for Large Eddy Simulation of Compressible Turbulent Flows
20171
15 201556
16 201428
17
Direct Numerical Simulations of Rayleigh-Taylor instability with gravity reversal
20123
18 201297
19
Simulations of Compressible Rayleigh-Taylor Instability Using the Adaptive Wavelet Collocation Method
20114
20
Stochastic Large Eddy Simulation of Geostrophic Turbulence
20052

About Daniel Livescu

Daniel Livescu is a scholar working on Computational Mechanics, Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Environmental Engineering and Atmospheric Science, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (69 papers), Computational Fluid Dynamics and Aerodynamics (32 papers), Laser-Plasma Interactions and Diagnostics (18 papers), Meteorological Phenomena and Simulations (16 papers), Model Reduction and Neural Networks (16 papers), Combustion and flame dynamics (13 papers), Wind and Air Flow Studies (13 papers) and Fluid Dynamics and Vibration Analysis (12 papers). The work is most often cited by research in Computational Mechanics (1.6k citations), Nuclear and High Energy Physics (545 citations), Ocean Engineering (377 citations), Statistical and Nonlinear Physics (245 citations) and Environmental Engineering (218 citations). Daniel Livescu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include J. R. Ristorcelli, Tie Wei, Mark Petersen, Jaiyoung Ryu, Cyrus K. Madnia, Farhad Jaberi, R. A. Gore, Arvind Mohan, Jon Baltzer and Oleg V. Vasilyev. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Physical Review Fluids, Journal of Computational Physics and Physica D Nonlinear Phenomena.

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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