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.
A Cross-calibrated, Multiplatform Ocean Surface Wind Velocity Product for Meteorological and Oceanographic Applications
2010801 citationsRobert Atlas, Ross N. Hoffman et al.Bulletin of the American Meteorological Societyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ross N. Hoffman
Since
Specialization
Citations
This map shows the geographic impact of Ross N. Hoffman'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 Ross N. Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross N. Hoffman more than expected).
This network shows the impact of papers produced by Ross N. Hoffman. 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 Ross N. Hoffman. The network helps show where Ross N. Hoffman may publish in the future.
Co-authorship network of co-authors of Ross N. Hoffman
This figure shows the co-authorship network connecting the top 25 collaborators of Ross N. Hoffman.
A scholar is included among the top collaborators of Ross N. Hoffman 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 Ross N. Hoffman. Ross N. Hoffman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wentz, F. J., Lucrezia Ricciardulli, Ernesto Rodríguez, et al.. (2017). Evaluating and Extending the Ocean Wind Climate Data Record. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(5). 2165–2185.51 indexed citations
9.
Greybush, Steven J., et al.. (2013). Ensemble Mars Atmosphere Reanalysis System (EMARS). 1305.1 indexed citations
10.
Bourassa, Mark A., Sarah T. Gille, Cecilia M. Bitz, et al.. (2012). High-latitude ocean and sea ice surface fluxes: requirements and challenges for climate research. Bulletin of the American Meteorological Society.4 indexed citations
11.
Bourassa, Mark A., Sarah T. Gille, Cecilia M. Bitz, et al.. (2012). High-latitude ocean and sea ice surface fluxes. Bulletin of the American Meteorological Society.1 indexed citations
12.
Greybush, Steven J., Eugenia Kalnay, Takemasa Miyoshi, et al.. (2011). Martian Atmosphere Data Assimilation of TES and MCS Retrievals. 34–37.4 indexed citations
13.
Hoffman, Matthew J., Steven J. Greybush, Eugenia Kalnay, et al.. (2010). Ensemble Kalman Filter Data Assimilation of TES Retrievals. DPS.1 indexed citations
14.
Atlas, Robert, J. Ardizzone, Ross N. Hoffman, & J. C. Jusem. (2009). The cross-calibrated, multi-platform (CCMP) ocean surface wind product: Current status and plans. AGU Fall Meeting Abstracts. 2009.1 indexed citations
Grassotti, Christopher, Enrique R. Vivoni, Ross N. Hoffman, & Dara Entekhabi. (2002). Hydrometeorological Studies With NEXRAD-based Precipitation Products. AGU Spring Meeting Abstracts. 2002.1 indexed citations
17.
Leidner, S. Mark, et al.. (2001). Comparison of Ambiguity Removal for Science and Near-Real Time SeaWinds Data. AGUFM. 2001.1 indexed citations
18.
Vivoni, Enrique R., et al.. (2001). Utilizing NEXRAD-based QPEs and short-term QPFs in a TIN-based Distributed Hydrologic Model for Hydrologic Forecasting. AGU Fall Meeting Abstracts. 2001.1 indexed citations
Hoffman, Ross N.. (1983). Three-dimensional inversion of satellite observed radiances A proposal.2 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.