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.
Liquid electrolyte development for low-temperature lithium-ion batteries
2022342 citationsDion Hubble, David E. Brown et al.Energy & Environmental Scienceprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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Countries citing papers authored by David E. Brown
Since
Specialization
Citations
This map shows the geographic impact of David E. Brown'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 E. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Brown more than expected).
This network shows the impact of papers produced by David E. Brown. 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 E. Brown. The network helps show where David E. Brown may publish in the future.
Co-authorship network of co-authors of David E. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Brown.
A scholar is included among the top collaborators of David E. Brown 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 E. Brown. David E. Brown 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.
Hubble, Dion, David E. Brown, Yangzhi Zhao, et al.. (2022). Liquid electrolyte development for low-temperature lithium-ion batteries. Energy & Environmental Science. 15(2). 550–578.342 indexed citations breakdown →
Brown, David E., et al.. (2011). Slope diffusion models and digitally-acquired morphometric parameters yield age constraints on cinder cones, examples from the Spencer High Point and Craters of the Moon National Monument, Snake River Plain, Idaho. AGU Fall Meeting Abstracts. 2011.1 indexed citations
Domonkos, Matthew, David E. Brown, S.K. Coffey, et al.. (2010). Applied Magnetic Field Design for the FRC Compression Heating Experiment (FRCHX) at AFRL. Bulletin of the American Physical Society. 52.1 indexed citations
8.
Beasley, LeRoy B., David E. Brown, & K. B. Reid. (2009). Extending partial tournaments. Mathematical and Computer Modelling. 50(1-2). 287–291.3 indexed citations
9.
Brown, David E., et al.. (2007). Interval Tournaments. Journal of Graph Theory. 56(1). 72–81.1 indexed citations
10.
Brown, David E. & J. Richard Lundgren. (2006). Bipartite probe interval graphs, circular arc graphs, and interval point bigraphs.. Australas. J Comb.. 35. 221–236.5 indexed citations
11.
Brown, David E. & J. Richard Lundgren. (2006). Bipartite Probe Interval Graphs, Interval Point Bigraphs, and Circular ArcGraphs. Digital Commons - USU (Utah State University). 35. 221–236.1 indexed citations
12.
Brown, David E.. (2004). Preconditioners for Inhomogeneous Anisotropic Problems with Spherical Geometry in Ocean Modelling.1 indexed citations
13.
Brown, David E., et al.. (2002). Characterizations of Interval Bigraphs and Unit IntervalBigraphs. Digital Commons - USU (Utah State University). 157. 79–93.5 indexed citations
14.
Brown, David E., J. Richard Lundgren, & Christopher D. Miller. (2001). Variations on Interval Graphs. Digital Commons - USU (Utah State University). 149. 77–95.10 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.