Nicole Vassh

623 total citations
19 papers, 360 citations indexed

About

Nicole Vassh is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering. According to data from OpenAlex, Nicole Vassh has authored 19 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 3 papers in Aerospace Engineering. Recurrent topics in Nicole Vassh's work include Nuclear physics research studies (14 papers), Astronomical and nuclear sciences (9 papers) and Gamma-ray bursts and supernovae (6 papers). Nicole Vassh is often cited by papers focused on Nuclear physics research studies (14 papers), Astronomical and nuclear sciences (9 papers) and Gamma-ray bursts and supernovae (6 papers). Nicole Vassh collaborates with scholars based in United States, Canada and Hungary. Nicole Vassh's co-authors include Matthew R. Mumpower, Rebecca Surman, A. B. Balantekin, T. M. Sprouse, Benoît Côté, Ryan Wollaeger, Chris L. Fryer, Krzysztof Belczyński, Martyna Chruślińska and Oleg Korobkin and has published in prestigious journals such as Science, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

Nicole Vassh

18 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicole Vassh United States 9 216 212 48 34 24 19 360
Marius Eichler Germany 8 310 1.4× 370 1.7× 39 0.8× 40 1.2× 24 1.0× 13 505
Yong Qian United States 4 298 1.4× 179 0.8× 23 0.5× 9 0.3× 9 0.4× 5 374
J. Selsing Denmark 7 147 0.7× 326 1.5× 17 0.4× 11 0.3× 29 1.2× 14 374
D. Martin Germany 8 246 1.1× 310 1.5× 34 0.7× 24 0.7× 4 0.2× 13 426
Carl Fields United States 6 122 0.6× 194 0.9× 24 0.5× 12 0.4× 20 0.8× 8 270
M. Salaris Italy 4 109 0.5× 251 1.2× 33 0.7× 12 0.4× 78 3.3× 13 290
A. Choplin Belgium 15 208 1.0× 563 2.7× 44 0.9× 30 0.9× 199 8.3× 43 662
Projjwal Banerjee India 10 202 0.9× 340 1.6× 12 0.3× 5 0.1× 26 1.1× 23 385
Erika M. Holmbeck United States 11 84 0.4× 195 0.9× 11 0.2× 9 0.3× 57 2.4× 28 243
Motohiko Kusakabe Japan 17 601 2.8× 541 2.6× 29 0.6× 16 0.5× 26 1.1× 70 720

Countries citing papers authored by Nicole Vassh

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Vassh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicole Vassh

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

All Works

19 of 19 papers shown
1.
Vassh, Nicole, et al.. (2025). Classifying Metal-poor Stars with Machine Learning Using Nucleosynthesis Calculations. The Astrophysical Journal. 992(1). 36–36. 1 indexed citations
2.
Mumpower, Matthew R., T. M. Sprouse, Jonah Miller, et al.. (2024). Nuclear Uncertainties Associated with the Nucleosynthesis in Ejecta of a Black Hole Accretion Disk. The Astrophysical Journal. 970(2). 173–173. 2 indexed citations
3.
Vassh, Nicole, Xilu Wang, T. M. Sprouse, et al.. (2024). Thallium-208: A Beacon of In Situ Neutron Capture Nucleosynthesis. Physical Review Letters. 132(5). 52701–52701. 7 indexed citations
4.
Dillmann, I., O. Kester, R. Baartman, et al.. (2023). Measuring neutron capture cross sections of radioactive nuclei. The European Physical Journal A. 59(5). 105–105. 4 indexed citations
5.
Roederer, Ian U., Nicole Vassh, Erika M. Holmbeck, et al.. (2023). Element abundance patterns in stars indicate fission of nuclei heavier than uranium. Science. 382(6675). 1177–1180. 21 indexed citations
6.
Orford, R., Nicole Vassh, J. A. Clark, et al.. (2022). Searching for the origin of the rare-earth peak with precision mass measurements across Ce–Eu isotopic chains. Physical review. C. 105(5). 19 indexed citations
7.
Vassh, Nicole, G. C. McLaughlin, Matthew R. Mumpower, & Rebecca Surman. (2022). Solar data uncertainty impacts on MCMC methods for r-process nucleosynthesis. Frontiers in Physics. 10. 1 indexed citations
8.
Lugaro, Maria, et al.. (2022). Origin of Plutonium-244 in the Early Solar System. Universe. 8(7). 343–343. 1 indexed citations
9.
Roederer, Ian U., J. J. Cowan, M. Pignatari, et al.. (2022). The R-Process Alliance: Abundance Universality among Some Elements at and between the First and Second R-Process Peaks*. The Astrophysical Journal. 936(1). 84–84. 21 indexed citations
10.
Barnes, Jennifer, T. M. Sprouse, Nicole Vassh, et al.. (2022). The Impact of Nuclear Physics Uncertainties on Interpreting Kilonova Light Curves. SHILAP Revista de lepidopterología. 260. 3004–3004. 6 indexed citations
11.
Côté, Benoît, Marius Eichler, Nicole Vassh, et al.. (2021). 129 I and 247 Cm in meteorites constrain the last astrophysical source of solar r-process elements. Science. 371(6532). 945–948. 32 indexed citations
12.
Vassh, Nicole, G. C. McLaughlin, Matthew R. Mumpower, & Rebecca Surman. (2021). Markov Chain Monte Carlo Predictions of Neutron-rich Lanthanide Properties as a Probe of r-process Dynamics. The Astrophysical Journal. 907(2). 98–98. 16 indexed citations
13.
Vassh, Nicole, Matthew R. Mumpower, T. M. Sprouse, Rebecca Surman, & R. Vogt. (2020). Probing the fission properties of neutron-rich actinides with the astrophysical r process. SHILAP Revista de lepidopterología. 242. 4002–4002. 2 indexed citations
14.
Vogt, R., J. Randrup, Nicole Vassh, T. M. Sprouse, & Rebecca Surman. (2020). Employing FREYA for fission product yield evaluations. SHILAP Revista de lepidopterología. 242. 3002–3002. 2 indexed citations
15.
Orford, R., Nicole Vassh, J. A. Clark, et al.. (2018). Precision Mass Measurements of Neutron-Rich Neodymium and Samarium Isotopes and Their Role in Understanding Rare-Earth Peak Formation. Physical Review Letters. 120(26). 262702–262702. 51 indexed citations
16.
Côté, Benoît, Chris L. Fryer, Krzysztof Belczyński, et al.. (2018). The Origin of r-process Elements in the Milky Way. The Astrophysical Journal. 855(2). 99–99. 128 indexed citations
17.
Vassh, Nicole, Evan Grohs, A. B. Balantekin, & G. M. Fuller. (2015). Majorana neutrino magnetic moment and neutrino decoupling in big bang nucleosynthesis. Physical review. D. Particles, fields, gravitation, and cosmology. 92(12). 22 indexed citations
18.
Balantekin, A. B. & Nicole Vassh. (2014). Magnetic moments of active and sterile neutrinos. Physical review. D. Particles, fields, gravitation, and cosmology. 89(7). 24 indexed citations
19.
Balantekin, A. B. & Nicole Vassh. (2014). The effect of sterile states on the magnetic moments of neutrinos. AIP conference proceedings. 150–155.

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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