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.
Universal outlier detection for PIV data
2005949 citationsJerry Westerweel, Fulvio ScaranoExperiments in Fluidsprofile →
Tomographic particle image velocimetry
2006917 citationsGerrit E. Elsinga, Fulvio Scarano et al.Experiments in Fluidsprofile →
Iterative image deformation methods in PIV
2001642 citationsFulvio ScaranoMeasurement Science and Technologyprofile →
Particle Image Velocimetry
2018619 citationsMarkus Raffel, Christian Willert et al.elib (German Aerospace Center)profile →
Tomographic PIV: principles and practice
2012583 citationsFulvio ScaranoMeasurement Science and Technologyprofile →
Advances in iterative multigrid PIV image processing
2000492 citationsFulvio Scarano et al.Experiments in Fluidsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Fulvio Scarano
Since
Specialization
Citations
This map shows the geographic impact of Fulvio Scarano'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 Fulvio Scarano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fulvio Scarano more than expected).
This network shows the impact of papers produced by Fulvio Scarano. 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 Fulvio Scarano. The network helps show where Fulvio Scarano may publish in the future.
Co-authorship network of co-authors of Fulvio Scarano
This figure shows the co-authorship network connecting the top 25 collaborators of Fulvio Scarano.
A scholar is included among the top collaborators of Fulvio Scarano 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 Fulvio Scarano. Fulvio Scarano is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pröbsting, Stefan, Jacopo Serpieri, & Fulvio Scarano. (2013). High-speed PIV analysis of trailing edge aeroacoustics. Research Repository (Delft University of Technology).1 indexed citations
12.
Scarano, Fulvio, et al.. (2013). Material Derivative Measurements in High-Speed Flows by Four-Pulse Tomographic PIV. Research Repository (Delft University of Technology).5 indexed citations
13.
Scarano, Fulvio. (2012). Tomographic PIV: principles and practice. Measurement Science and Technology. 24(1). 12001–12001.583 indexed citations breakdown →
Humble, Raymond, Gerrit E. Elsinga, Fulvio Scarano, & B.W. van Oudheusden. (2007). Experimental Investigation of the Three-Dimensional Structure of a Shock Wave/Turbulent Boundary Layer Interaction. Queensland's institutional digital repository (The University of Queensland). 729–736.
17.
Scarano, Fulvio, et al.. (2006). Experimental study of an unsteady impinging shockwave/turbulent boundary layer interaction using PIV.4 indexed citations
18.
Schrijer, Ferry, et al.. (2005). Experiments on Hypersonic Roughness Induced Transition by Means of Infrared Thermography. ESASP. 563. 255.3 indexed citations
19.
Scarano, Fulvio, et al.. (1976). A DIGITAL ELEVATION DATA COLLECTION SYSTEM. Photogrammetric Engineering & Remote Sensing. 42(4). 489–496.5 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.