Michael Rising

1.1k total citations
52 papers, 383 citations indexed

About

Michael Rising is a scholar working on Aerospace Engineering, Radiation and Materials Chemistry. According to data from OpenAlex, Michael Rising has authored 52 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Aerospace Engineering, 37 papers in Radiation and 21 papers in Materials Chemistry. Recurrent topics in Michael Rising's work include Nuclear reactor physics and engineering (47 papers), Nuclear Physics and Applications (37 papers) and Nuclear Materials and Properties (16 papers). Michael Rising is often cited by papers focused on Nuclear reactor physics and engineering (47 papers), Nuclear Physics and Applications (37 papers) and Nuclear Materials and Properties (16 papers). Michael Rising collaborates with scholars based in United States, Austria and France. Michael Rising's co-authors include P. Talou, Toshihiko Kawano, Denise Neudecker, Morgan White, T.N. Taddeucci, R. C. Haight, Hye Young Lee, Todd S. Palmer, P. Jaffke and Anil K. Prinja and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computer Physics Communications and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

Michael Rising

42 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Rising United States 11 337 304 146 134 21 52 383
G. Aliberti United States 11 435 1.3× 341 1.1× 231 1.6× 101 0.8× 18 0.9× 32 484
P. Archier France 12 419 1.2× 346 1.1× 247 1.7× 119 0.9× 6 0.3× 57 441
Marco Pigni United States 9 193 0.6× 163 0.5× 116 0.8× 69 0.5× 8 0.4× 37 221
Denise Neudecker United States 15 504 1.5× 497 1.6× 190 1.3× 200 1.5× 26 1.2× 78 567
C. De Saint Jean France 14 528 1.6× 436 1.4× 349 2.4× 170 1.3× 7 0.3× 72 614
I. Kodeli France 8 220 0.7× 196 0.6× 108 0.7× 69 0.5× 20 1.0× 15 269
Y. Rugama France 8 241 0.7× 233 0.8× 112 0.8× 47 0.4× 17 0.8× 22 271
T.R. England United States 9 280 0.8× 239 0.8× 147 1.0× 146 1.1× 11 0.5× 29 369
G. Imel United States 10 147 0.4× 138 0.5× 92 0.6× 25 0.2× 16 0.8× 38 222
Scott W. Mosher United States 10 301 0.9× 163 0.5× 230 1.6× 37 0.3× 17 0.8× 31 355

Countries citing papers authored by Michael Rising

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rising

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rising

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Rising. A scholar is included among the top collaborators of Michael Rising 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 Michael Rising. Michael Rising 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.
Rising, Michael, Jerawan Armstrong, Jeffrey Bull, et al.. (2025). The MCNP®6 code: A decade of progress. EPJ Nuclear Sciences & Technologies. 11. 9–9. 2 indexed citations
2.
Rising, Michael, et al.. (2024). Direct Sampling of Monte Carlo Flight Paths in Tetrahedral Meshes with Linear Finite-Element Cross Sections. SHILAP Revista de lepidopterología. 302. 4008–4008.
3.
Neudecker, Denise, Michael Grosskopf, Theresa Cutler, et al.. (2023). Understanding the impact of nuclear-data covariances on various integral responses using adjustment. SHILAP Revista de lepidopterología. 281. 7–7. 1 indexed citations
4.
Leclaire, Nicolas, et al.. (2023). International criticality benchmark comparison exercise in support of nuclear data validation. SHILAP Revista de lepidopterología. 284. 15011–15011. 1 indexed citations
5.
Hutchinson, Jesson, Theresa Cutler, Wim Haeck, et al.. (2023). Subcritical neutron noise measurements for plutonium systems with varying geometry and mass. Annals of Nuclear Energy. 195. 110179–110179.
6.
Cutler, Theresa, et al.. (2023). Preliminary verification of the MCNP perturbation and fixed-source tally sensitivity tools. Annals of Nuclear Energy. 194. 110040–110040. 2 indexed citations
7.
Rising, Michael. (2023). MCNP6 Developments: A 2022-23 Year in Review [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
8.
Rising, Michael, et al.. (2022). Verification and validation testing and tools: comparison between MCNP code versions and nuclear data libraries [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
9.
Hutchinson, Jesson, et al.. (2021). Criticality Experiments with Fast 235 U and 239 Pu Metal and Hydride Systems During the Manhattan Project. Nuclear Technology. 207(sup1). 8 indexed citations
10.
Talou, P., Ionel Stetcu, P. Jaffke, et al.. (2021). Fission fragment decay simulations with the CGMF code. Computer Physics Communications. 269. 108087–108087. 43 indexed citations
11.
Rising, Michael, et al.. (2020). Gaussian Process Optimization of Sensitivity-Based Similarity Metrics between New Nuclear Applications and New/Existing Benchmarks. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 837–840. 1 indexed citations
12.
Kelly, Keegan, M. Devlin, J. M. O’Donnell, et al.. (2018). Measurements of the Prompt Fission Neutron Spectrum at LANSCE: The Chi-Nu Experiment. SHILAP Revista de lepidopterología. 193. 3003–3003. 8 indexed citations
13.
Rising, Michael, et al.. (2018). Using Machine Learning Methods to Predict Bias in Nuclear Criticality Safety. Journal of Computational and Theoretical Transport. 47(4-6). 552–565. 18 indexed citations
14.
15.
Neudecker, Denise, P. Talou, T.N. Taddeucci, et al.. (2015). Preliminary Evaluation and Uncertainty Quantification of the Prompt Fission Neutron Spectrum of 239Pu. Nuclear Data Sheets. 123. 146–152. 7 indexed citations
16.
17.
Talou, P., Toshihiko Kawano, M. B. Chadwick, Denise Neudecker, & Michael Rising. (2015). Uncertainties in nuclear fission data. Journal of Physics G Nuclear and Particle Physics. 42(3). 34025–34025. 5 indexed citations
18.
Rising, Michael, P. Talou, Anil K. Prinja, & Morgan White. (2014). Unified Monte Carlo: Evaluation, Uncertainty Quantification and Propagation of the Prompt Fission Neutron Spectrum. 109. 2407–2407. 1 indexed citations
19.
Rising, Michael. (2013). Quantification and propagation of nuclear data uncertainties. UNM’s Digital Repository (University of New Mexico). 4 indexed citations
20.
Rising, Michael, Anil K. Prinja, & P. Talou. (2013). Prompt Fission Neutron Spectrum Uncertainty Propagation Using Polynomial Chaos Expansion. Nuclear Science and Engineering. 175(2). 188–203. 6 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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