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.
This map shows the geographic impact of David Andrš'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 David Andrš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Andrš more than expected).
This network shows the impact of papers produced by David Andrš. 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 David Andrš. The network helps show where David Andrš may publish in the future.
Co-authorship network of co-authors of David Andrš
This figure shows the co-authorship network connecting the top 25 collaborators of David Andrš.
A scholar is included among the top collaborators of David Andrš 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 David Andrš. David Andrš is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hansel, Joshua, et al.. (2024). The MOOSE Thermal Hydraulics Module. The Journal of Open Source Software. 9(94). 6146–6146.13 indexed citations
3.
Green, Christopher P., Joshua Hansel, David Andrš, et al.. (2024). The MOOSE fluid properties module. Computer Physics Communications. 307. 109407–109407.
4.
Lindsay, Alexander, Guillaume Giudicelli, Péter German, et al.. (2023). MOOSE Navier–Stokes module. SoftwareX. 23. 101503–101503.15 indexed citations
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.
Zhao, Haihua, Ling Zou, Hongbin Zhang, David Andrš, & Richard Martineau. (2014). Developing Fully Coupled Dynamical Reactor Core Isolation System Models in RELAP-7 for Extended Station Black-Out Analysis. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
13.
Permann, Cody, David Andrš, John W. Peterson, & Derek Gaston. (2013). MASSIVE HYBRID PARALLELISM FOR FULLY IMPLICIT MULTIPHYSICS. University of North Texas Digital Library (University of North Texas).4 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.