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.
The complex dielectric constant of pure and sea water from microwave satellite observations
2004556 citationsThomas Meißner, F. J. WentzIEEE Transactions on Geoscience and Remote Sensingprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Thomas Meißner
Since
Specialization
Citations
This map shows the geographic impact of Thomas Meißner'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 Thomas Meißner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Meißner more than expected).
This network shows the impact of papers produced by Thomas Meißner. 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 Thomas Meißner. The network helps show where Thomas Meißner may publish in the future.
Co-authorship network of co-authors of Thomas Meißner
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Meißner.
A scholar is included among the top collaborators of Thomas Meißner 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 Thomas Meißner. Thomas Meißner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Meißner, Thomas. (2017). Ocean Vector Winds in Storms from the SMAP L-Band Radiometer.2 indexed citations
10.
Peng, Jinzheng, Jeffrey R. Piepmeier, Sidharth Misra, et al.. (2017). Soil Moisture ActivePassive (SMAP) L-Band Microwave Radiometer Post-Launch Calibration. IEEE Transactions on Geoscience and Remote Sensing. 55(9).2 indexed citations
11.
Scott, J. P., Thomas Meißner, & F. J. Wentz. (2016). Ocean Surface Salinity from the SMAP Sensor. 2016.1 indexed citations
12.
Lee, Tong, Thomas Meißner, Frank Wentz, & Gary Lagerloef. (2016). Evaluation of sea surface salinity retrieval from SMAP. EGUGA.2 indexed citations
13.
Vine, David M. Le, Emmanuel P. Dinnat, Thomas Meißner, et al.. (2015). Remote Sensing of Salinity and Overview of Results from Aquarius.1 indexed citations
14.
Meißner, Thomas, F. J. Wentz, & J. P. Scott. (2015). Ocean Products from the SMAP Radiometer: Surface Salinity and Wind Speeds. 2015 AGU Fall Meeting. 2015.1 indexed citations
15.
Ricciardulli, Lucrezia, Thomas Meißner, J. P. Scott, & F. J. Wentz. (2015). Satellite-based Ocean Vector Wind Climate Data Record. AGU Fall Meeting Abstracts. 2015.1 indexed citations
16.
Ricciardulli, Lucrezia, Thomas Meißner, & F. J. Wentz. (2014). Building a Climate Data Record for Ocean Vector Winds. AGU Fall Meeting Abstracts. 2014.2 indexed citations
17.
Wentz, F. J., Kyle Hilburn, Thomas Meißner, & Shannon E. Brown. (2014). Two-Look Polarimetric (2LP) Microwave Radiometers for Ocean Vector Wind Retrieval. AGU Fall Meeting Abstracts. 2014.1 indexed citations
18.
Ricciardulli, Lucrezia, Thomas Meißner, & Frank Wentz. (2013). Integrating the ASCAT Observations into a Climate Data Record of Ocean Vector Winds. EGU General Assembly Conference Abstracts.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.