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.
Sectional representations for simulating aerosol dynamics
1980457 citationsFred Gelbard, Y. Tambour et al.Journal of Colloid and Interface Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Fred Gelbard'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 Fred Gelbard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Gelbard more than expected).
This network shows the impact of papers produced by Fred Gelbard. 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 Fred Gelbard. The network helps show where Fred Gelbard may publish in the future.
Co-authorship network of co-authors of Fred Gelbard
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Gelbard.
A scholar is included among the top collaborators of Fred Gelbard 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 Fred Gelbard. Fred Gelbard is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Lipinski, Ronald J., et al.. (2014). Launch Safety Analysis for Radioisotope Power Systems.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).3 indexed citations
Moore, Robert C., et al.. (2007). A Laboratory-Scale Sulfuric Acid Decomposition Apparatus for Use in Hydrogen Production Cycles.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).12 indexed citations
5.
Gelbard, Fred, et al.. (2007). Sulfuric Acid Decomposition Experiments for Thermochemical Hydrogen Production from Nuclear Power.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).5 indexed citations
6.
Gauntt, Randall O., Fred Gelbard, P.S. Pickard, et al.. (2007). MELCOR-H2 Benchmarking of the SNL Transient Sulfuric Acid Decomposition Experiments. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
7.
Gauntt, Randall O., Fred Gelbard, Shripad T. Revankar, et al.. (2006). MELCOR-H2 : A modular, generalized tool for the dynamic simulation and design of fully-coupled nuclear reactor/hydrogen production plants. Transactions of the American Nuclear Society. 95(1). 891–894.2 indexed citations
8.
Gelbard, Fred, et al.. (2006). Sulfuric Acid Decomposition with Heat and Mass Recovery Using a Direct Contact Exchanger.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
9.
Chang, Jane P., et al.. (2005). Microfabricated thermal conductivity detector for the micro-ChemLab.. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).5 indexed citations
Gelbard, Fred, et al.. (1991). Modeling mineral dissolution and precipitation in dual-porosity systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 indexed citations
Gelbard, Fred, Y. Tambour, & John H. Seinfeld. (1980). Sectional representations for simulating aerosol dynamics. Journal of Colloid and Interface Science. 76(2). 541–556.457 indexed citations breakdown →
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.