Elia Merzari

3.0k total citations · 1 hit paper
223 papers, 1.8k citations indexed

About

Elia Merzari is a scholar working on Computational Mechanics, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, Elia Merzari has authored 223 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computational Mechanics, 125 papers in Aerospace Engineering and 44 papers in Mechanical Engineering. Recurrent topics in Elia Merzari's work include Nuclear reactor physics and engineering (95 papers), Nuclear Engineering Thermal-Hydraulics (76 papers) and Fluid Dynamics and Turbulent Flows (64 papers). Elia Merzari is often cited by papers focused on Nuclear reactor physics and engineering (95 papers), Nuclear Engineering Thermal-Hydraulics (76 papers) and Fluid Dynamics and Turbulent Flows (64 papers). Elia Merzari collaborates with scholars based in United States, Japan and Greece. Elia Merzari's co-authors include Yassin A. Hassan, Hisashi Ninokata, Paul Fischer, Emilio Baglietto, W. David Pointer, Aleksandr Obabko, A. Obabko, Giacomo Busco, Dillon Shaver and Misun Min and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Computer Physics Communications and Physics of Fluids.

In The Last Decade

Elia Merzari

200 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NekRS, a GPU-accelerated spectral element Navier–Stokes solver

2022 101 citations Paul Fischer, Stefan Kerkemeier et al. profile →

Peers

Elia Merzari

CM

AE

ME

MC

EE

David L. Reuss United States

Ananias Tomboulides Greece

Helfried Steiner Austria

Daniel J. Duke United States

Robert Nourgaliev United States

Venkateswaran Sankaran United States

Guillermo Paniagua United States

Yongdong Cui Singapore

Raoyang Zhang United States

Chuangxin He China

David L. Reuss United States

Elia Merzari

1.8k ×1.4

CM

600 ×0.6

AE

96 ×0.3

ME

70 ×0.2

MC

120 ×0.8

EE

Citations per year, relative to Elia Merzari Elia Merzari (= 1×) peers David L. Reuss

Countries citing papers authored by Elia Merzari

Since Specialization

Citations

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

Fields of papers citing papers by Elia Merzari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elia Merzari

This figure shows the co-authorship network connecting the top 25 collaborators of Elia Merzari. A scholar is included among the top collaborators of Elia Merzari 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 Elia Merzari. Elia Merzari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Baglietto, Emilio, Annalisa Manera, Quynh C. Nguyen, et al.. (2025). NEAMS IRP challenge problem 2: Thermal striping of reactor Internals. Nuclear Engineering and Design. 433. 113879–113879.

2.

Manera, Annalisa, Thien Vuong Nguyen, Emilio Baglietto, et al.. (2025). NEAMS IRP challenge problem 3: Mixing in large enclosures and thermal stratification. Nuclear Engineering and Design. 433. 113847–113847.

3.

Merzari, Elia, Igor A. Bolotnov, Nam Dinh, et al.. (2025). Building a multiscale framework: An overview of the NEAMS thermal-hydraulics integrated research project. Nuclear Engineering and Design. 433. 113807–113807.

4.

Merzari, Elia, et al.. (2025). Application of a Physics-Informed Convolutional Neural Network for Monitoring the Temperature Fields in High-Temperature Gas Reactors. Nuclear Science and Engineering. 199(10). 1712–1732. 2 indexed citations

5.

Merzari, Elia, et al.. (2024). Improving the modeling of near-wall interphase heat transfer in porous media models of Pebble Bed Reactors. Nuclear Engineering and Design. 427. 113424–113424. 2 indexed citations

6.

Bolotnov, Igor A., et al.. (2024). NEAMS IRP challenge problem 1: Flexible modeling for heat transfer for low-to-high Prandtl number fluids for applications in advanced reactors. Nuclear Engineering and Design. 428. 113467–113467.

7.

Hansel, Joshua, et al.. (2024). The liquid-conduction, vapor-flow heat pipe model in Sockeye. Nuclear Engineering and Design. 426. 113359–113359. 6 indexed citations

8.

Merzari, Elia, Jun Fang, Dillon Shaver, et al.. (2024). Energy Exascale Computational Fluid Dynamics Simulations With the Spectral Element Method. Journal of Fluids Engineering. 146(4). 4 indexed citations

9.

Merzari, Elia, et al.. (2024). Code Validation of SAM Using Forced and Natural Circulation Data from NACIE-UP Benchmark. Nuclear Technology. 211(9). 2105–2120.

10.

Merzari, Elia, et al.. (2024). High-Fidelity Simulation of the Light-to-Dense Stratification Transient in the HiRJET Facility. Nuclear Technology. 1–18. 1 indexed citations

11.

Balestra, Paolo, et al.. (2023). High-fidelity simulations of the run-in process for a pebble-bed reactor. Annals of Nuclear Energy. 195. 110193–110193. 10 indexed citations

12.

Merzari, Elia, et al.. (2023). Discrete element simulation of Pebble Bed Reactors on graphics processing units. Annals of Nuclear Energy. 190. 109896–109896. 13 indexed citations

13.

Merzari, Elia, Steven Hamilton, Thomas Evans, et al.. (2023). Exascale Multiphysics Nuclear Reactor Simulations for Advanced Designs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 10 indexed citations

14.

Merzari, Elia, et al.. (2023). A hybrid domain overlapping method for coupling System Thermal Hydraulics and CFD codes. Annals of Nuclear Energy. 189. 109842–109842. 8 indexed citations

15.

Merzari, Elia, et al.. (2023). High-Fidelity Simulation of Mixing Phenomena in Large Enclosures. Nuclear Science and Engineering. 198(7). 1386–1403. 9 indexed citations

16.

Merzari, Elia, et al.. (2023). Convolutional Neural Network–Aided Temperature Field Reconstruction: An Innovative Method for Advanced Reactor Monitoring. Nuclear Technology. 209(5). 645–666. 7 indexed citations

17.

Dinh, Nam, et al.. (2023). Machine learning from RANS and LES to inform coarse grid simulations. Progress in Nuclear Energy. 163. 104809–104809. 3 indexed citations

18.

Merzari, Elia, et al.. (2023). Data-Driven High-to-Low for Coarse Grid System Thermal Hydraulics. Nuclear Science and Engineering. 198(7). 1426–1438.

19.

Romano, Paul, Steven Hamilton, Ronald Rahaman, et al.. (2020). A Code-Agnostic Driver Application for Coupled Neutronics and Thermal-Hydraulic Simulations. Nuclear Science and Engineering. 195(4). 391–411. 10 indexed citations

20.

Merzari, Elia, et al.. (2016). DNS study of supercritical CO2 flow using spectral element code Nek5000. Transactions of the American Nuclear Society. 115. 1661–1664. 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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