Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
MOOSE: A parallel computational framework for coupled systems of nonlinear equations
2009601 citationsDerek Gaston, Chris Newman et al.Nuclear Engineering and Designprofile →
This map shows the geographic impact of Derek Gaston'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 Derek Gaston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Gaston more than expected).
This network shows the impact of papers produced by Derek Gaston. 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 Derek Gaston. The network helps show where Derek Gaston may publish in the future.
Co-authorship network of co-authors of Derek Gaston
This figure shows the co-authorship network connecting the top 25 collaborators of Derek Gaston.
A scholar is included among the top collaborators of Derek Gaston 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 Derek Gaston. Derek Gaston is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gaston, Derek, et al.. (2015). Modeling injected interstitial effects on void swelling in self-ion irradiation experiments. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
11.
Wang, Yaqi, et al.. (2015). Convergence study of Rattlesnake solutions for the two-dimensional C5G7 MOX benchmark. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).8 indexed citations
12.
Slaughter, Andrew E., Michael Tonks, Derek Gaston, et al.. (2014). Moose: A Framework to Enable Rapid Advances and Collaboration in Modeling Snow and Avalanches. 644–650.
Gaston, Derek. (2014). MOOSE: Multiphysics Object-Oriented Simulation Environment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).6 indexed citations
Podgorney, Robert, Hai Huang, & Derek Gaston. (2010). MASSIVELY PARALLEL FULLY COUPLED IMPLICIT MODELING OF COUPLED THERMAL-HYDROLOGICAL-MECHANICAL PROCESSES FOR ENHANCED GEOTHERMAL SYSTEM RESERVOIRS. University of North Texas Digital Library (University of North Texas).9 indexed citations
18.
Gaston, Derek, Chris Newman, Glen Hansen, & Damien Lebrun-Grandié. (2009). MOOSE: A parallel computational framework for coupled systems of nonlinear equations. Nuclear Engineering and Design. 239(10). 1768–1778.601 indexed citations breakdown →
19.
Huang, Hai, et al.. (2009). Modeling of Calcite Precipitation Driven by Bacteria-facilitated Urea Hydrolysis in A Flow Column Using A Fully Coupled, Fully Implicit Parallel Reactive Transport Simulator. AGU Fall Meeting Abstracts. 2009.
20.
Newman, Christopher K., Derek Gaston, & Glen Hansen. (2009). Computational foundations for reactor fuel performance modeling.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.