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.
Magnetic Reconnection as the Driver of the Solar Wind
202385 citationsN. E. Raouafi, G. Stenborg et al.The Astrophysical Journalprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Daniel B. Seaton
Since
Specialization
Citations
This map shows the geographic impact of Daniel B. Seaton'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 Daniel B. Seaton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Seaton more than expected).
Fields of papers citing papers by Daniel B. Seaton
This network shows the impact of papers produced by Daniel B. Seaton. 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 Daniel B. Seaton. The network helps show where Daniel B. Seaton may publish in the future.
Co-authorship network of co-authors of Daniel B. Seaton
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Seaton.
A scholar is included among the top collaborators of Daniel B. Seaton 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 Daniel B. Seaton. Daniel B. Seaton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Raouafi, N. E., G. Stenborg, Daniel B. Seaton, et al.. (2023). Magnetic Reconnection as the Driver of the Solar Wind. The Astrophysical Journal. 945(1). 28–28.85 indexed citations breakdown →
Mason, James, Phillip C. Chamberlin, Daniel B. Seaton, et al.. (2021). SunCET: The Sun Coronal Ejection Tracker Concept. Journal of Space Weather and Space Climate. 11. 20–20.17 indexed citations
12.
Caspi, Amir, Albert Y. Shih, P. S. Athiray, et al.. (2021). The CubeSat Imaging X-ray Solar Spectrometer (CubIXSS). American Astronomical Society Meeting Abstracts. 53(6).2 indexed citations
Pasachoff, Jay M., V. Rušín, J. H. Seiradakis, et al.. (2017). First 2017-total-eclipse results from the Williams College team. AGU Fall Meeting Abstracts. 2017.1 indexed citations
16.
Pasachoff, Jay M., Allen B. Davis, M. Demiański, et al.. (2014). Imaging and Spectra of the Chromosphere and Corona at the 2013 Total Eclipse in Gabon. 224.1 indexed citations
17.
West, Matthew J., B. Nicula, Marie Dominique, et al.. (2013). Space Weather and Particle Effects on the Orbital Environment of PROBA2. The EGU General Assembly.1 indexed citations
18.
Guerrero, Antonio, C. Cid, Y. Cerrato, et al.. (2012). Geoeffectiveness of two CMEs interacting with the same CH. EGU General Assembly Conference Abstracts. 9720.1 indexed citations
19.
Seaton, Daniel B.. (2008). An analysis of reconnection dynamics in an eruptive flare model. University of New Hampshire Scholars Repository (University of New Hampshire at Manchester).1 indexed citations
20.
Pasachoff, Jay M., et al.. (2001). Eclipse/SOHO Joint Observations of Solar Eclipses. AGU Spring 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.