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.
Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation
2013367 citationsS. Paloscia, S. Pettinato et al.Remote Sensing of Environmentprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Antonio Reppucci
Since
Specialization
Citations
This map shows the geographic impact of Antonio Reppucci'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 Antonio Reppucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Reppucci more than expected).
Fields of papers citing papers by Antonio Reppucci
This network shows the impact of papers produced by Antonio Reppucci. 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 Antonio Reppucci. The network helps show where Antonio Reppucci may publish in the future.
Co-authorship network of co-authors of Antonio Reppucci
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Reppucci.
A scholar is included among the top collaborators of Antonio Reppucci 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 Antonio Reppucci. Antonio Reppucci is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Paloscia, S., S. Pettinato, E. Santi, et al.. (2013). Soil moisture mapping using Sentinel-1 images: Algorithm and preliminary validation. Remote Sensing of Environment. 134. 234–248.367 indexed citations breakdown →
Reppucci, Antonio, Susanne Lehner, & Johannes Schulz‐Stellenfleth. (2007). TROPICAL CYCLONES FEATURES INFERRED FROM SAR IMAGES. elib (German Aerospace Center).1 indexed citations
10.
Schulz‐Stellenfleth, Johannes, Susanne Lehner, Antonio Reppucci, Stephan Brusch, & Thomas König. (2007). ON THE DIVERGENCE AND VORTICITY OF SAR DERIVED WIND FIELDS. elib (German Aerospace Center).8 indexed citations
Migliaccio, Maurizio & Antonio Reppucci. (2006). A Review of Sea Wind Vector Retrieval By Means of Microwave Remote Sensing. CINECA IRIS Institutial research information system (Parthenope University of Naples).5 indexed citations
König, Thomas, et al.. (2006). Remote Sensing of Extreme Wind and Ocean Wave Fields.
16.
Reppucci, Antonio, Johannes Schulz‐Stellenfleth, Susanne Lehner, & Thomas König. (2006). Analysis of SAR Wave Mode Imagette Taken Under Extreme Wind and Wave Conditions. elib (German Aerospace Center). 613. 19.2 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.