Countries citing papers authored by Fernando Sansò
Since
Specialization
Citations
This map shows the geographic impact of Fernando Sansò'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 Fernando Sansò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Sansò more than expected).
This network shows the impact of papers produced by Fernando Sansò. 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 Fernando Sansò. The network helps show where Fernando Sansò may publish in the future.
Co-authorship network of co-authors of Fernando Sansò
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Sansò.
A scholar is included among the top collaborators of Fernando Sansò 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 Fernando Sansò. Fernando Sansò is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Reguzzoni, Mirko, Andrea Gatti, Carlo Iapige De Gaetani, Federica Migliaccio, & Fernando Sansò. (2014). Locally adapted space-wise grids from GOCE data. EGU General Assembly Conference Abstracts. 14010.3 indexed citations
4.
Gatti, Andrea, Federica Migliaccio, Mirko Reguzzoni, & Fernando Sansò. (2013). Space-wise global grids of GOCE gravity gradients at satellite altitude. EGUGA.1 indexed citations
Biagi, L., et al.. (2011). Il progetto HELI-DEM (Helvetia-Italy Digital Elevation Model): scopi e stato di attuazione. PORTO Publications Open Repository TOrino (Politecnico di Torino).3 indexed citations
7.
Migliaccio, Federica, Mirko Reguzzoni, Andrea Gatti, Fernando Sansò, & Matija Herceg. (2011). A GOCE-Only Global Gravity Field Model by the Space-Wise Approach. Publication Database GFZ (GFZ German Research Centre for Geosciences). 696. 39.28 indexed citations
8.
Migliaccio, Federica, Mirko Reguzzoni, Fernando Sansò, C. C. Tscherning, & M. Veicherts. (2010). GOCE Data Analysis: The Space-Wise Approach and the First Space-Wise Gravity Field Model. Publication Database GFZ (GFZ German Research Centre for Geosciences). 686. 62.60 indexed citations
9.
Biagi, L., et al.. (2009). Densification of IGS/EPN by local permanent networks: sensitivity of results with respect to the adjustment choices. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 68(3). 231–254.2 indexed citations
Migliaccio, Federica, et al.. (2007). On the use of gridded data to estimate potential coefficients. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).4 indexed citations
Biagi, L. & Fernando Sansò. (2004). Sistemi di riferimento in geodesia: algebra e geometria dei minimi quadrati per un modello con deficienza di rango parte terza. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 63(1). 129–149.3 indexed citations
15.
Albertella, A., Federica Migliaccio, Mirko Reguzzoni, & Fernando Sansò. (2002). Spacewise approach and measurement bandwidth in satellite gradiometry. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 61(3). 179–189.3 indexed citations
16.
Sansò, Fernando. (1995). Geodetic theory today : Third Hotine-Marussi Symposium on Mathematical Geodesy, L'Aquila, Italy, May 30-June 3, 1994. Springer eBooks.1 indexed citations
Barzaghi, Riccardo & Fernando Sansò. (1987). Remarks on the inverse gravimetric problem. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).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.