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 SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
20101.5k citationsYann H. Kerr, Steven Delwart et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Manuel Martín‐Neira
Since
Specialization
Citations
This map shows the geographic impact of Manuel Martín‐Neira'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 Manuel Martín‐Neira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Martín‐Neira more than expected).
Fields of papers citing papers by Manuel Martín‐Neira
This network shows the impact of papers produced by Manuel Martín‐Neira. 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 Manuel Martín‐Neira. The network helps show where Manuel Martín‐Neira may publish in the future.
Co-authorship network of co-authors of Manuel Martín‐Neira
This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Martín‐Neira.
A scholar is included among the top collaborators of Manuel Martín‐Neira 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 Manuel Martín‐Neira. Manuel Martín‐Neira is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Falcke, H., Leonid Gurvits, Manuel Martín‐Neira, et al.. (2018). System design progress in the event horizon imaging using the concept of space-to-space VLBI from medium earth orbits. 42.1 indexed citations
6.
Kerr, Yann H., Jordi Font, Manuel Martín‐Neira, et al.. (2014). ESA’s Soil Moisture and Ocean Salinity Mission ‐ An overview on the mission's performance and scientific results. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 1997.
Oliva, Roger, et al.. (2010). L1PP Performance Analysis for SMOS in Orbit Commissioning Phase. 686. 104.1 indexed citations
9.
Cardellach, Estel, O. Nogués‐Correig, Serni Ribó, et al.. (2010). Centimeter-level group-delay altimetric precision using the new PARIS interferometric technique. AGUFM. 2010.1 indexed citations
10.
Drinkwater, Mark R., Kevin McMullan, Michael Brown, et al.. (2009). STAR IN THE SKY : The SMOS payload: MIRAS. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 16–22.4 indexed citations
Martín‐Neira, Manuel, Serni Ribó, J. Font, et al.. (2002). The MIRAS demonstrator pilot project: Towards SMOS. 123–131.4 indexed citations
15.
Martín‐Neira, Manuel, et al.. (1999). Performance Comparison between a Dynamic-Free Navigation Filter andthe Carrier Smoothing Algorithm. 1597–1608.2 indexed citations
16.
Vollath, Ulrich, et al.. (1998). Analysis of Three-Carrier Ambiguity Resolution (TCAR) Technique for Precise Relative Positioning in GNSS-2. 417–426.54 indexed citations
17.
Martín‐Neira, Manuel, et al.. (1997). Carrier Phase Ambiguity Resolution in GNSS-2. 1727–1736.67 indexed citations
18.
Martín‐Neira, Manuel. (1993). A pasive reflectometry and interferometry system (PARIS) application to ocean altimetry. 17. 331–355.450 indexed citations
19.
Martín‐Neira, Manuel, et al.. (1993). Using GPS to determine the attitude of a spacecraft. 4(3). 49–52.
20.
Martín‐Neira, Manuel, et al.. (1992). GPS Attitude Determination of Spin Stabilized Satellites. 757–765.7 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.