D. A. Biesecker

3.0k citations
49 papers · 2.0k indexed · 1 hit paper · h-index 21

D. A. Biesecker

47 papers receiving 1.8k citations

Hit Papers

Measurements of Flow Speeds in the Corona Between 2 and 30R☉4101997202620062016100200300400

Peers

D. A. Biesecker
Comparison fields: 5 of 40
  • Astronomy and Astrophysics 1.9k
  • Oceanography 83
  • Artificial Intelligence 171
  • Molecular Biology 368
  • Atmospheric Science 64
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M. Guhathakurta United States
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Patrick Antolin United Kingdom
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Citations per year

Countries citing papers authored by D. A. Biesecker

Since Specialization
Citations

This map shows the geographic impact of D. A. Biesecker'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 D. A. Biesecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. A. Biesecker more than expected).

Fields of papers citing papers by D. A. Biesecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Biesecker. 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 D. A. Biesecker. The network helps show where D. A. Biesecker may publish in the future.

Co-authorship network

The 25 scholars most cited alongside D. A. Biesecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. A. Biesecker Line = papers co-authored together D. A. Biesecker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Update on NOAA SWPC / CCMC Partnership to Validate Heliospheric Models
20191
2 201899
3 201615
4 20158
5 20132
6 201053
7 200849
8
Propagation Characteristics of the 2007 August 21 Coronal Mass Ejection as Determined by Geometric Localization
20071
9
SOHO Observations of Polar Coronal Jets over the Last Solar Cycle
20062
10 200429
11
Empirical densities, kinetic temperatures, and outflow velocities in the equatorial streamer belt at solar minimum
20021
12
Can EIT Waves be used to Predict Halo CME Properties
20021
13 200258
14 199973
15 199917
16 199934
17
Modeling a simple coronal streamer during whole sun month
19973
18
Using LASCO Observations to Infer Solar Wind Flow Near the Sun
19973
19
Visibility of earth-directed coronal mass ejections
19974
20
On the Occurrence of Solar Flares Observed with the Burst and Transient Source Experiment
199412

About D. A. Biesecker

D. A. Biesecker is a scholar working on Astronomy and Astrophysics, Oceanography and Artificial Intelligence, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (40 papers), Stellar, planetary, and galactic studies (23 papers), Ionosphere and magnetosphere dynamics (16 papers), Astro and Planetary Science (13 papers), Solar Radiation and Photovoltaics (10 papers), Geophysics and Gravity Measurements (7 papers), Geomagnetism and Paleomagnetism Studies (4 papers) and Astrophysics and Star Formation Studies (2 papers). The work is most often cited by research in Astronomy and Astrophysics (1.9k citations), Oceanography (83 citations) and Artificial Intelligence (171 citations). D. A. Biesecker has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include S. E. Gibson, B. J. Thompson, A. Llébaria, A. A. Reinard, P. Lamy, R. A. Howard, V. J. Pizzo, O. C. St. Cyr, Pete Riley and J. A. Linker. Their work appears in journals such as The Astrophysical Journal, Journal of Geophysical Research Atmospheres, Space Weather, Icarus and Solar Physics.

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.

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