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.
Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products
2012591 citationsRocco Panciera, Dongryeol Ryu 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 Rocco Panciera
Since
Specialization
Citations
This map shows the geographic impact of Rocco Panciera'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 Rocco Panciera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rocco Panciera more than expected).
This network shows the impact of papers produced by Rocco Panciera. 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 Rocco Panciera. The network helps show where Rocco Panciera may publish in the future.
Co-authorship network of co-authors of Rocco Panciera
This figure shows the co-authorship network connecting the top 25 collaborators of Rocco Panciera.
A scholar is included among the top collaborators of Rocco Panciera 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 Rocco Panciera. Rocco Panciera is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Vittucci, Cristina, Leila Guerriero, P. Ferrazzoli, et al.. (2013). Airborne forest monitoring during SMAPEx-3 campaign. Cineca Institutional Research Information System (Tor Vergata University). 987–990.3 indexed citations
Monerris, A., Jeffrey P. Walker, Rocco Panciera, et al.. (2011). The Third Soil Moisture Active Passive Experiment. Chan, F., Marinova, D. and Anderssen, R.S. (eds) MODSIM2011, 19th International Congress on Modelling and Simulation..10 indexed citations
13.
Jeu, Richard de, Thomas Holmes, Rocco Panciera, & Jeffrey P. Walker. (2009). Parameterization of the Land Parameter Retrieval Model for L-band Observations using the Nafe’05 Dataset. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6. 630–634.1 indexed citations
Maggioni, Viviana, Rocco Panciera, Jeffrey P. Walker, et al.. (2006). A Multi-sensor Approach for High Resolution Airborne Soil Moisture Mapping. 297.5 indexed citations
16.
Panciera, Rocco, Jeffrey P. Walker, Olivier Merlin, J. D. Kalma, & Edward Kim. (2006). Scaling Properties of L-band Passive Microwave Soil Moisture: From SMOS to Paddock Scale. 462.4 indexed citations
17.
Walker, Jeffrey P., Olivier Merlin, Rocco Panciera, et al.. (2006). National Airborne Field Experiments for Soil Moisture Remote Sensing. 291.11 indexed citations
18.
Walker, Jeffrey P., Jörg Hacker, J. D. Kalma, Edward Kim, & Rocco Panciera. (2005). National airborne field experiments for prediction in ungauged basins. Congress on Modelling and Simulation. 2974–2980.7 indexed citations
19.
Walker, Jeffrey P., et al.. (2003). AMSR-E Soil Moisture Validation Efforts in the Australian Arid Zone. AGU Fall Meeting Abstracts. 2003.4 indexed citations
20.
Peuto, A., et al.. (1981). Precision Measurements on Solid Artifacts for a Redetermination of the Density of Water. 449.3 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.