Stephen Novascone

2.3k total citations · 1 hit paper
57 papers, 1.3k citations indexed

About

Stephen Novascone is a scholar working on Materials Chemistry, Aerospace Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Stephen Novascone has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Materials Chemistry, 47 papers in Aerospace Engineering and 15 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Stephen Novascone's work include Nuclear Materials and Properties (48 papers), Nuclear reactor physics and engineering (47 papers) and Nuclear and radioactivity studies (15 papers). Stephen Novascone is often cited by papers focused on Nuclear Materials and Properties (48 papers), Nuclear reactor physics and engineering (47 papers) and Nuclear and radioactivity studies (15 papers). Stephen Novascone collaborates with scholars based in United States, Italy and Germany. Stephen Novascone's co-authors include Jason Hales, R.L. Williamson, B.W. Spencer, Giovanni Pastore, Michael Tonks, D. M. Perez, Cody Permann, Derek Gaston, David Andrš and Richard Martineau and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and Journal of Nuclear Materials.

In The Last Decade

Stephen Novascone

51 papers receiving 1.2k citations

Hit Papers

Multidimensional multiphysics simulation of nuclear fuel ... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Novascone United States 15 1.1k 1.0k 141 137 123 57 1.3k
Jason Hales United States 22 1.7k 1.5× 1.4k 1.4× 203 1.4× 191 1.4× 234 1.9× 65 1.9k
Giovanni Pastore United States 22 1.8k 1.6× 1.4k 1.4× 365 2.6× 164 1.2× 233 1.9× 71 1.9k
D. M. Perez United States 9 532 0.5× 492 0.5× 71 0.5× 60 0.4× 61 0.5× 18 657
Massimiliano Fratoni United States 14 612 0.6× 587 0.6× 32 0.2× 76 0.6× 103 0.8× 88 775
G. Ivan Maldonado United States 13 456 0.4× 458 0.5× 27 0.2× 65 0.5× 74 0.6× 87 599
Konstantin Mikityuk Switzerland 19 1.1k 1.0× 1.4k 1.4× 30 0.2× 123 0.9× 142 1.2× 134 1.5k
Gregory K. Miller United States 14 474 0.4× 288 0.3× 17 0.1× 91 0.7× 52 0.4× 26 608
Deokjung Lee South Korea 21 1.1k 1.0× 1.4k 1.4× 16 0.1× 150 1.1× 53 0.4× 182 1.6k
Chris Newman United States 4 344 0.3× 309 0.3× 20 0.1× 27 0.2× 129 1.0× 5 681
A. Kakodkar India 12 240 0.2× 307 0.3× 103 0.7× 51 0.4× 165 1.3× 50 722

Countries citing papers authored by Stephen Novascone

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Novascone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Novascone

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Novascone. A scholar is included among the top collaborators of Stephen Novascone 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 Stephen Novascone. Stephen Novascone 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.
Simon, Pierre-Clément A., et al.. (2025). Mechanistic nuclear fuel performance modeling of uranium nitride. Journal of Nuclear Materials. 606. 155604–155604. 3 indexed citations
2.
Dhulipala, Somayajulu L. N., et al.. (2025). Unpacking model inadequacy: The quantification of silver release from TRISO fuel by considering empirical and mechanistic approaches. Journal of Nuclear Materials. 610. 155795–155795.
3.
Simon, Pierre-Clément A., et al.. (2025). Multiscale, mechanistic modeling of cesium transport in silicon carbide for TRISO fuel performance prediction. npj Computational Materials. 11(1).
4.
Singh, Gyanender, et al.. (2024). Impact of anisotropy on TRISO fuel performance. Nuclear Engineering and Design. 430. 113637–113637. 1 indexed citations
5.
Miao, Yinbin, Aaron Oaks, Kun Mo, et al.. (2023). BISON-FIPD integration enhanced low-burnup SFR metallic fuel swelling model evaluation framework. Nuclear Engineering and Design. 414. 112611–112611.
6.
Aagesen, Larry K., David Andersson, M. Cooper, et al.. (2023). Empirical and mechanistic transient fission gas release model for high-burnup LOCA conditions. Journal of Nuclear Materials. 584. 154557–154557. 9 indexed citations
7.
Matthews, Christopher, et al.. (2023). Development and formulation of physics based metallic fuel models and comparison to integral irradiation data. Journal of Nuclear Materials. 578. 154343–154343. 7 indexed citations
8.
Aagesen, Larry K., et al.. (2022). Phase-field simulations of fission gas bubble growth and interconnection in U-(Pu)-Zr nuclear fuel. SHILAP Revista de lepidopterología. 6(1). 6 indexed citations
9.
Novascone, Stephen, et al.. (2021). Modelling fission gas behaviour in fast reactor (U,Pu)O2 fuel with BISON. Journal of Nuclear Materials. 547. 152728–152728. 6 indexed citations
10.
Petrie, Christian, W. J. Williams, Andrea Jokisaari, et al.. (2021). Integrating Advanced Modeling and Accelerated Testing for a Modernized Fuel Qualification Paradigm. Nuclear Technology. 207(10). 1491–1510. 13 indexed citations
11.
Collin, Blaise P., Wen Jiang, Kyle Gamble, et al.. (2021). TRISO Fuel Performance Modelling with BISON. Journal of Physics Conference Series. 2048(1). 12012–12012. 9 indexed citations
12.
Toptan, Aysenur, Jason Hales, R.L. Williamson, et al.. (2020). Modeling of gap conductance for LWR fuel rods applied in the BISON code. Journal of Nuclear Science and Technology. 57(8). 963–974. 11 indexed citations
13.
Matthews, Christopher, et al.. (2018). BISON for Metallic Fuels Modelling. 1 indexed citations
14.
Stimpson, Shane, Jeffrey J. Powers, Kevin Clarno, et al.. (2017). Pellet-clad mechanical interaction screening using VERA applied to Watts Bar Unit 1, Cycles 1–3. Nuclear Engineering and Design. 327. 172–186. 12 indexed citations
15.
Spencer, B.W., R.L. Williamson, D. Shane Stafford, et al.. (2016). 3D modeling of missing pellet surface defects in BWR fuel. Nuclear Engineering and Design. 307. 155–171. 15 indexed citations
16.
Williamson, R.L., Javier Ortensi, Yaqi Wang, et al.. (2014). The coupling of the neutron transport application RATTLESNAKE to the nuclear fuels performance application BISON under the MOOSE framework. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 indexed citations
17.
Pastore, Giovanni, Jason Hales, Stephen Novascone, et al.. (2013). Analysis of fission gas release in LWR fuel using the BISON code. University of North Texas Digital Library (University of North Texas). 8 indexed citations
18.
Tonks, Michael, et al.. (2013). Microstructural modeling of thermal conductivity of high burn-up mixed oxide fuel. Journal of Nuclear Materials. 444(1-3). 161–169. 21 indexed citations
19.
Novascone, Stephen, et al.. (2003). Driving point impedance -- A new paradigm for detecting fracture and in situ stress in boreholes. Mining Engineering. 55(11). 31–34. 1 indexed citations
20.
Novascone, Stephen, et al.. (2002). Driving point impedance and physical property logging. 2467–2470.

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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