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.
TRACE Observation of Damped Coronal Loop Oscillations: Implications for Coronal Heating
This map shows the geographic impact of E. E. DeLuca'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 E. E. DeLuca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. E. DeLuca more than expected).
This network shows the impact of papers produced by E. E. DeLuca. 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 E. E. DeLuca. The network helps show where E. E. DeLuca may publish in the future.
Co-authorship network of co-authors of E. E. DeLuca
This figure shows the co-authorship network connecting the top 25 collaborators of E. E. DeLuca.
A scholar is included among the top collaborators of E. E. DeLuca 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 E. E. DeLuca. E. E. DeLuca is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Savcheva, Antonia, K. Dalmasse, S. E. Gibson, et al.. (2019). Forward Modeling of a Pseudostreamer. The Astrophysical Journal. 883(1). 74–74.8 indexed citations
7.
Tomczyk, S., P. Bryans, J. Burkepile, et al.. (2017). Multi-wavelength observations of the solar atmosphere from the August 21, 2017 total solar eclipse. AGUFM. 2017.1 indexed citations
Kobelski, Adam, Steven H. Saar, David McKenzie, et al.. (2012). Measuring Uncertainties in the Hinode X-Ray Telescope. ASPC. 456. 241.
10.
DeLuca, E. E., et al.. (2012). Nonlinear Force-Free Modeling of Aug 4 & 10, 2010 Sigmoids via Flux Rope Insertion Method. 219.1 indexed citations
11.
Su, Yingna, L. Golub, A. A. van Ballegooijen, et al.. (2007). Magnetic Shear in Two-ribbon Solar Flares. AAS. 210. 217–218.1 indexed citations
12.
Cirtain, Jonathan, L. L. Lundquist, E. E. DeLuca, et al.. (2007). The Statistics of Polar Coronal Jets using XRT/Hinode. 210.3 indexed citations
13.
Sakao, Taro, R. Kano, Noriyuki Narukage, et al.. (2007). Continuous Upflow of Plasmas at the Edge of an Active Region as Revealed by the X-ray Telescope (XRT) aboard Hinode. AAS. 210.1 indexed citations
14.
Kano, Ryouhei, Taro Sakao, Noriyuki Narukage, et al.. (2007). Temperature Structures Above Coronal Hole and Quiet Sun. 210.1 indexed citations
15.
Savcheva, Antonia, Jonathan Cirtain, L. L. Lundquist, et al.. (2007). A Study of Polar Jet Parameters Based on Solar-B XRT Observations. 210.1 indexed citations
16.
Smith, Peter L., L. Golub, Jay A. Bookbinder, et al.. (2006). The Atmospheric Imaging Assembly (AIA) for the Solar Dynamics Observatory.3 indexed citations
17.
Golub, L., E. E. DeLuca, A Sette, & M. Weber. (2004). Differential Emission Measure Reconstruction with the SolarB X-Ray Telescope. ASPC. 325. 217.2 indexed citations
18.
Windt, David L., J. F. Seely, Benjawan Kjornrattanawanich, et al.. (2004). EUV multilayers for solar physics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5168. 1–1.48 indexed citations
19.
Handy, B. N., E. E. DeLuca, R. A. McMullen, et al.. (1998). The Transition Region and Coronal Explorer. AAS. 193.3 indexed citations
20.
Worden, S. P., et al.. (1979). High Resolution Spectra of Stellar Flares. Bulletin of the American Astronomical Society. 11. 628.1 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.