Mark D. DeHart

1.4k total citations
76 papers, 605 citations indexed

About

Mark D. DeHart is a scholar working on Aerospace Engineering, Materials Chemistry and Radiation. According to data from OpenAlex, Mark D. DeHart has authored 76 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Aerospace Engineering, 53 papers in Materials Chemistry and 20 papers in Radiation. Recurrent topics in Mark D. DeHart's work include Nuclear reactor physics and engineering (64 papers), Nuclear Materials and Properties (44 papers) and Nuclear Physics and Applications (20 papers). Mark D. DeHart is often cited by papers focused on Nuclear reactor physics and engineering (64 papers), Nuclear Materials and Properties (44 papers) and Nuclear Physics and Applications (20 papers). Mark D. DeHart collaborates with scholars based in United States, France and Finland. Mark D. DeHart's co-authors include Stephen M. Bowman, Sebastian Schunert, Richard Martineau, Yaqi Wang, Vincent Labouré, Javier Ortensi, Dennis D. Keiser, Kevan Weaver, Jaakko Leppänen and Paolo Balestra and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Energies.

In The Last Decade

Mark D. DeHart

65 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. DeHart United States 14 500 405 178 79 63 76 605
Ser Gi Hong South Korea 13 471 0.9× 380 0.9× 162 0.9× 52 0.7× 101 1.6× 80 576
Kevin Clarno United States 13 617 1.2× 471 1.2× 198 1.1× 98 1.2× 60 1.0× 55 748
Youqi Zheng China 14 624 1.2× 454 1.1× 334 1.9× 53 0.7× 50 0.8× 94 685
Rachel Slaybaugh United States 11 354 0.7× 258 0.6× 156 0.9× 87 1.1× 42 0.7× 38 511
Javier Ortensi United States 12 391 0.8× 352 0.9× 128 0.7× 64 0.8× 29 0.5× 41 523
Naoki Sugimura Japan 11 397 0.8× 264 0.7× 177 1.0× 62 0.8× 65 1.0× 25 466
Simone Santandrea France 11 346 0.7× 253 0.6× 173 1.0× 68 0.9× 45 0.7× 28 407
Ding She China 14 782 1.6× 673 1.7× 413 2.3× 36 0.5× 71 1.1× 75 846
Carlo Fiorina Switzerland 18 932 1.9× 737 1.8× 258 1.4× 136 1.7× 90 1.4× 86 1.1k
Kang Seog Kim United States 10 389 0.8× 274 0.7× 161 0.9× 49 0.6× 30 0.5× 38 417

Countries citing papers authored by Mark D. DeHart

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. DeHart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. DeHart. 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 Mark D. DeHart. The network helps show where Mark D. DeHart may publish in the future.

Co-authorship network of co-authors of Mark D. DeHart

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. DeHart. A scholar is included among the top collaborators of Mark D. DeHart 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 Mark D. DeHart. Mark D. DeHart 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.
DeHart, Mark D., et al.. (2025). Uncertainty quantification and sensitivity analysis for SPERT III E-core reactivity measurement benchmarking. Nuclear Engineering and Technology. 57(12). 103792–103792.
2.
Schunert, Sebastian, et al.. (2024). Forward and inverse predictive transient models of TREAT using surrogate reactivity models. Annals of Nuclear Energy. 201. 110449–110449. 2 indexed citations
3.
DeHart, Mark D., et al.. (2024). Development of a Griffin model of the advanced test reactor. Annals of Nuclear Energy. 211. 111012–111012. 1 indexed citations
4.
Labouré, Vincent, et al.. (2023). Automated power-following control for nuclear thermal propulsion startup and shutdown using MOOSE-based applications. Progress in Nuclear Energy. 161. 104710–104710. 13 indexed citations
5.
Schunert, Sebastian, et al.. (2023). A Predictive Transient Model of the TREAT-SIRIUS Experiments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 555–562. 2 indexed citations
6.
Schunert, Sebastian, et al.. (2022). Multiphysics Simulation of the NASA SIRIUS-CAL Fuel Experiment in the Transient Test Reactor Using Griffin. Energies. 15(17). 6181–6181. 6 indexed citations
7.
Ortensi, Javier, et al.. (2019). Implementation of Depletion Architecture in the MAMMOTH Reactor Physics Application. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 120(1). 905–906. 1 indexed citations
8.
DeHart, Mark D., et al.. (2018). Weighted Delta-Tracking with Scattering. arXiv (Cornell University). 1 indexed citations
9.
Avramova, Maria, Kostadin Ivanov, Mark D. DeHart, et al.. (2017). OECD/NEA EGMPEBV Activities in Multi-Physics Verification and Validation. Transactions of the American Nuclear Society. 116. 1297–1300. 1 indexed citations
10.
Ganapol, B. D., et al.. (2016). Neutronic-Thermal hydraulic benchmark using the SKINATH point kinetics model. Transactions of the American Nuclear Society. 115. 600–603. 1 indexed citations
11.
Ortensi, Javier, Michael A. Pope, Gerhard Strydom, et al.. (2011). PRISMATIC CORE COUPLED TRANSIENT BENCHMARK. University of North Texas Digital Library (University of North Texas). 104. 854–856. 3 indexed citations
12.
Leppänen, Jaakko & Mark D. DeHart. (2009). HTGR Reactor Physics and Burnup Calculations Using the Serpent Monte Carlo Code. Transactions of the American Nuclear Society. 101. 782–784. 15 indexed citations
13.
DeHart, Mark D., et al.. (2008). Validation of SCALE and the TRITON Depletion Sequence for Gas-Cooled Reactor Analysis. Transactions of the American Nuclear Society. 99. 683–685. 1 indexed citations
14.
DeHart, Mark D.. (2007). High-fidelity depletion capabilities of the scale code system using triton. Transactions of the American Nuclear Society. 97. 598–600. 4 indexed citations
15.
DeHart, Mark D. & L.M. Petrie. (2004). Integrated Keno v.a Monte Carlo transport for multidimensional depletion within scale. Transactions of the American Nuclear Society. 91. 667–669. 1 indexed citations
16.
Parks, C.V., B.L. Broadhead, Mark D. DeHart, & Ian C Gauld. (2001). Validation Issues for Depletion and Criticality Analysis in Burnup Credit. University of North Texas Digital Library (University of North Texas).
17.
DeHart, Mark D.. (1999). A Deterministic Study of the Deficiency of the Wigner-Seitz Approximation for Pu/MOX Fuel Pins. University of North Texas Digital Library (University of North Texas). 3 indexed citations
18.
Forsberg, Charles, et al.. (1996). Depleted-Uranium-Silicate Backfill of Spent-Fuel Waste Packages for Repository Containment and Criticality Control. High Level Radioactive Waste Management. 366–368.
19.
Takano, M., et al.. (1996). Findings of an International Study on Burnup Credit. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
20.
DeHart, Mark D., et al.. (1987). CENTAR code for extended nonlinear transient analysis of extraterrestrial reactor systems. Transactions of the American Nuclear Society. 55.

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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