Robert Salko

940 total citations
37 papers, 382 citations indexed

About

Robert Salko is a scholar working on Aerospace Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Robert Salko has authored 37 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aerospace Engineering, 19 papers in Materials Chemistry and 7 papers in Mechanical Engineering. Recurrent topics in Robert Salko's work include Nuclear reactor physics and engineering (28 papers), Nuclear Engineering Thermal-Hydraulics (21 papers) and Nuclear Materials and Properties (16 papers). Robert Salko is often cited by papers focused on Nuclear reactor physics and engineering (28 papers), Nuclear Engineering Thermal-Hydraulics (21 papers) and Nuclear Materials and Properties (16 papers). Robert Salko collaborates with scholars based in United States, Australia and France. Robert Salko's co-authors include Koroush Shirvan, Xingang Zhao, Fengdi Guo, Benjamin Collins, Maria Avramova, Andrew Godfrey, Rodney C. Schmidt, Daniel J. Kelly, Scott Palmtag and Kevin Clarno and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Applied Thermal Engineering.

In The Last Decade

Robert Salko

32 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Salko United States 10 299 165 92 86 67 37 382
Ling Zou United States 13 352 1.2× 212 1.3× 209 2.3× 107 1.2× 49 0.7× 55 566
Jiong Guo China 11 290 1.0× 187 1.1× 74 0.8× 26 0.3× 97 1.4× 49 365
A. Dokhane Switzerland 12 326 1.1× 101 0.6× 92 1.0× 48 0.6× 99 1.5× 44 390
Javier Ortensi United States 12 391 1.3× 352 2.1× 64 0.7× 56 0.7× 128 1.9× 41 523
Marc A. Gibson United States 12 388 1.3× 189 1.1× 53 0.6× 232 2.7× 67 1.0× 34 557
G.Th. Analytis Switzerland 12 269 0.9× 78 0.5× 61 0.7× 67 0.8× 108 1.6× 40 337
Sebastian Schunert United States 13 309 1.0× 239 1.4× 107 1.2× 28 0.3× 96 1.4× 47 394
Seyed Mohammad Mirvakili Iran 15 357 1.2× 278 1.7× 53 0.6× 35 0.4× 166 2.5× 54 479
G. Ivan Maldonado United States 13 458 1.5× 456 2.8× 25 0.3× 74 0.9× 112 1.7× 87 599
Pavel V. Tsvetkov United States 8 372 1.2× 312 1.9× 50 0.5× 71 0.8× 108 1.6× 78 530

Countries citing papers authored by Robert Salko

Since Specialization
Citations

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

Fields of papers citing papers by Robert Salko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Salko

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Salko. A scholar is included among the top collaborators of Robert Salko 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 Robert Salko. Robert Salko 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.
Zhao, Xingang, et al.. (2025). Physics-based hybrid machine learning for critical heat flux prediction with uncertainty quantification. Applied Thermal Engineering. 279. 127447–127447. 1 indexed citations
2.
Salko, Robert, et al.. (2025). High-burnup boiling water reactor steady-state operating conditions and fuel performance analysis. Annals of Nuclear Energy. 215. 111247–111247.
3.
Hu, Rui, Ling Zou, Guojun Hu, et al.. (2024). SAM: A Modern System Code for Advanced Non-LWR Safety Analysis. Nuclear Technology. 211(9). 1883–1902. 2 indexed citations
4.
5.
Green, Christopher P., Joshua Hansel, David Andrš, et al.. (2024). The MOOSE fluid properties module. Computer Physics Communications. 307. 109407–109407.
6.
Salko, Robert, et al.. (2024). A study on the impact of using a subchannel resolution for modeling of large break loss of coolant accidents. Annals of Nuclear Energy. 207. 110716–110716. 3 indexed citations
7.
Salko, Robert, et al.. (2024). Assessment of the CTF subchannel code for modeling a large-break loss-of-coolant accident reflood transient. Annals of Nuclear Energy. 210. 110831–110831.
8.
Salko, Robert, et al.. (2023). Assessment and Testing of CTF for LOCA Reflood Conditions. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 5555–5568. 1 indexed citations
9.
Kropaczek, Dave, et al.. (2023). Advanced two-phase subchannel method via non-linear iteration. Nuclear Engineering and Design. 408. 112328–112328. 1 indexed citations
10.
Wysocki, Aaron, et al.. (2023). Coupling of CTF and RELAP5-3D Within an Enhanced-Fidelity Nuclear Power Plant Simulator. Nuclear Technology. 209(10). 1466–1484. 1 indexed citations
11.
Kumar, Vineet, et al.. (2022). Improvement of two-phase closure models in CTF using Bayesian inference. Nuclear Engineering and Design. 398. 111968–111968. 4 indexed citations
12.
Walker, Samuel, et al.. (2021). Coupled Thermal-Hydraulic Analysis and Species Mass Transport in a Versatile Experimental Salt Irradiation Loop (VESIL) Using CTF. SHILAP Revista de lepidopterología. 2(3). 309–317. 3 indexed citations
13.
Zhao, Xingang, Robert Salko, & Koroush Shirvan. (2021). Improved departure from nucleate boiling prediction in rod bundles using a physics-informed machine learning-aided framework. Nuclear Engineering and Design. 374. 111084–111084. 21 indexed citations
14.
Salko, Robert, et al.. (2021). Implementation of two-phase gas transport into VERA for molten salt reactor analysis. Annals of Nuclear Energy. 165. 108672–108672. 17 indexed citations
15.
Salko, Robert, et al.. (2020). Implementation of a New Wall Boiling Model in CTF. 1728–1731. 2 indexed citations
16.
Toptan, Aysenur, et al.. (2018). Implementation and assessment of wall friction models for LWR core analysis. Annals of Nuclear Energy. 115. 565–572. 11 indexed citations
17.
Toptan, Aysenur, et al.. (2018). A new fuel modeling capability, CTFFuel, with a case study on the fuel thermal conductivity degradation. Nuclear Engineering and Design. 341. 248–258. 11 indexed citations
18.
Kelly, Daniel J., et al.. (2017). MC21/COBRA-IE and VERA-CS multiphysics solutions to VERA core physics benchmark problem #6. Progress in Nuclear Energy. 101. 338–351. 20 indexed citations
19.
Clarno, Kevin, Scott Palmtag, Gregory Davidson, et al.. (2014). COUPLED NEUTRONICS AND THERMAL-HYDRAULIC SOLUTION OF A FULL-CORE PWR USING VERA-CS. 9 indexed citations
20.
Salko, Robert. (2010). Data Analysis and Modeling of NESTOR SSG Heated Rod Bundle Experiments using VIPRE-I for the Assessment of the Onset of Nucleate Boiling Criteria. 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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