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.
The 2010 explosive eruption of Java's Merapi volcano—A ‘100-year’ event
2012338 citationsMaria Fabrizia Buongiorno, Fred Prata et al.profile →
Surface-to-space atmospheric waves from Hunga Tonga–Hunga Ha’apai eruption
2022151 citationsFred Prata, Cathy Clerbaux et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Fred Prata'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 Fred Prata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Prata more than expected).
This network shows the impact of papers produced by Fred Prata. 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 Fred Prata. The network helps show where Fred Prata may publish in the future.
Co-authorship network of co-authors of Fred Prata
This figure shows the co-authorship network connecting the top 25 collaborators of Fred Prata.
A scholar is included among the top collaborators of Fred Prata 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 Fred Prata. Fred Prata is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sigmundsson, Freysteinn, K. S. Vogfjörd, Magnús T. Guðmundsson, et al.. (2013). FUTUREVOLC: A European volcanological supersite in Iceland, a monitoring system and network for the future. EGU General Assembly Conference Abstracts.2 indexed citations
12.
Fee, David, Simon Carn, & Fred Prata. (2011). Infrasound and SO2 Observations of the 2011 Explosive Eruption of Nabro Volcano, Eritrea. AGU Fall Meeting Abstracts. 2011.2 indexed citations
13.
Remedios, J. J., et al.. (2010). Significant Improvements in the AATSR Land Surface Temperature Algorithm. ESASP. 686. 493.1 indexed citations
14.
Durant, A. J., P. B. Voss, Matthew Watson, et al.. (2010). Real-time in situ measurements of volcanic plume physico-chemical properties using Controlled METeorological balloons. EGU General Assembly Conference Abstracts. 4937.2 indexed citations
15.
Eckhardt, Sabine, Fred Prata, A. Stohl, et al.. (2009). Support for Aviation for Volcanic Ash Avoidance: SAVAA. EGU General Assembly Conference Abstracts. 10785.1 indexed citations
16.
Clerbaux, Cathy, Juliette Hadji‐Lazaro, A. Razavi, et al.. (2008). Tracking and quantifying volcanic SO2 with IASI, the September 2007 eruption at Jebel at Tair. SHILAP Revista de lepidopterología.1 indexed citations
17.
Prata, Fred, et al.. (2008). Particle size and compositional retrievals of the Chaiten volcanic ash from spaceborne, high spectral resolution infrared AIRS and IASI measurements. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2008.2 indexed citations
18.
Carn, Simon, Fred Prata, Sigrún N. Karlsdóttir, & A. J. Krueger. (2002). Integrating TOMS and TOVS retrievals of sulfur dioxide in volcanic clouds. AGU Fall Meeting Abstracts. 2002.1 indexed citations
19.
Schneider, D. J., Fred Prata, Yingxin Gu, Matthew Watson, & William I. Rose. (2001). Use of MODIS for volcanic eruption cloud detection, tracking, and measurement: Examples from the 2001 eruption of Cleveland volcano, Alaska. AGU Fall Meeting Abstracts. 2001.1 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.