This map shows the geographic impact of Ivana Zinno'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 Ivana Zinno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivana Zinno more than expected).
This network shows the impact of papers produced by Ivana Zinno. 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 Ivana Zinno. The network helps show where Ivana Zinno may publish in the future.
Co-authorship network of co-authors of Ivana Zinno
This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Zinno.
A scholar is included among the top collaborators of Ivana Zinno 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 Ivana Zinno. Ivana Zinno is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bonano, Manuela, et al.. (2019). A large scale exploitation of high resolution satellite SAR data to analyze surface deformation in urban areas through the parallel full resolution SBAS-DInSAR approach. EGU General Assembly Conference Abstracts. 17496.1 indexed citations
6.
Manzo, M., Riccardo Lanari, Giuseppe Solaro, et al.. (2019). Ground deformation analysis of the Italian Peninsula through space-borne SAR interferometry and geophysical modelling: the IREA-CNR/MiSE-DGS-UNMIG agreement. EGU General Assembly Conference Abstracts. 14863.1 indexed citations
Casu, Francesco, Claudio De Luca, Stefano Elefante, et al.. (2015). New perspectives and advanced approaches on effectively processing Big InSAR data: from long term ERS archives to new Sentinel-1 massive data flow. EGU General Assembly Conference Abstracts. 7802.4 indexed citations
Martino, Gerardo Di, Antonio Iodice, Daniele Riccio, Giuseppe Ruello, & Ivana Zinno. (2013). The Effects of Polarization on Fractal Dimension Maps Estimated from SAR Data. ESA Special Publication. 713. 52.2 indexed citations
19.
Casu, Francesco, Stefano Elefante, Pasquale Imperatore, et al.. (2013). DInSAR time series generation within a cloud computing environment: from ERS to Sentinel-1 scenario. EGUGA.1 indexed citations
20.
Luca, Claudio De, Antonello Bonfante, Gerardo Di Martino, et al.. (2013). Landscape roughness analysis of Mt. Etna volcanic complex detected via fractal geometry. EGU General Assembly Conference Abstracts.
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.