Samuel T. Badman

2.2k total citations
36 papers, 698 citations indexed

About

Samuel T. Badman is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Samuel T. Badman has authored 36 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Astronomy and Astrophysics, 13 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Samuel T. Badman's work include Solar and Space Plasma Dynamics (36 papers), Astro and Planetary Science (19 papers) and Ionosphere and magnetosphere dynamics (16 papers). Samuel T. Badman is often cited by papers focused on Solar and Space Plasma Dynamics (36 papers), Astro and Planetary Science (19 papers) and Ionosphere and magnetosphere dynamics (16 papers). Samuel T. Badman collaborates with scholars based in United States, United Kingdom and France. Samuel T. Badman's co-authors include S. D. Bale, T. S. Horbury, Anthony R. Yeates, David Stansby, M. Velli, M. Pulupa, J. C. Kasper, T. D. Phan, J. F. Drake and M. L. Stevens and has published in prestigious journals such as Nature, Science and The Astrophysical Journal.

In The Last Decade

Samuel T. Badman

32 papers receiving 552 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel T. Badman United States 15 688 220 79 22 21 36 698
Yingna Su China 16 868 1.3× 231 1.1× 62 0.8× 23 1.0× 18 0.9× 51 884
David Stansby United Kingdom 15 582 0.8× 180 0.8× 71 0.9× 15 0.7× 12 0.6× 33 591
Pankaj Kumar United States 19 948 1.4× 267 1.2× 58 0.7× 36 1.6× 27 1.3× 50 968
Jiayan Yang China 22 1.1k 1.6× 112 0.5× 98 1.2× 22 1.0× 15 0.7× 70 1.1k
Q. M. Zhang China 14 611 0.9× 116 0.5× 37 0.5× 21 1.0× 18 0.9× 21 617
Shuhong Yang China 16 788 1.1× 131 0.6× 61 0.8× 10 0.5× 17 0.8× 54 805
B. P. Filippov Russia 16 748 1.1× 203 0.9× 40 0.5× 14 0.6× 10 0.5× 85 773
L. Zhao United States 15 749 1.1× 195 0.9× 66 0.8× 19 0.9× 10 0.5× 35 777
Deborah Baker United Kingdom 18 1.1k 1.7× 320 1.5× 59 0.7× 13 0.6× 23 1.1× 49 1.2k
S. L. McGregor United States 10 409 0.6× 142 0.6× 46 0.6× 11 0.5× 28 1.3× 17 427

Countries citing papers authored by Samuel T. Badman

Since Specialization
Citations

This map shows the geographic impact of Samuel T. Badman'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 Samuel T. Badman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Badman more than expected).

Fields of papers citing papers by Samuel T. Badman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel T. Badman. 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 Samuel T. Badman. The network helps show where Samuel T. Badman may publish in the future.

Co-authorship network of co-authors of Samuel T. Badman

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel T. Badman. A scholar is included among the top collaborators of Samuel T. Badman 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 Samuel T. Badman. Samuel T. Badman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bandyopadhyay, R., D. J. McComas, N. A. Schwadron, et al.. (2025). Asymmetric Tangential Velocity inside Switchbacks: Implication for Switchback Origin. The Astrophysical Journal. 991(1). 41–41.
2.
Dunn, C. G., Benjamin D. G. Chandran, Romain Meyrand, et al.. (2025). Formation of magnetic switchbacks via expanding Alfvén waves. Astronomy and Astrophysics. 700. A51–A51. 2 indexed citations
3.
Rivera, Yeimy J., Samuel T. Badman, M. L. Stevens, et al.. (2024). In situ observations of large-amplitude Alfvén waves heating and accelerating the solar wind. Science. 385(6712). 962–966. 34 indexed citations
4.
Badman, Samuel T., et al.. (2024). Tracking solar radio bursts using Bayesian multilateration. Astronomy and Astrophysics. 684. A182–A182. 1 indexed citations
5.
Badman, Samuel T., et al.. (2024). Characteristics and Source Regions of Slow Alfvénic Solar Wind Observed by Parker Solar Probe. The Astrophysical Journal. 975(2). 156–156. 7 indexed citations
6.
Mostafavi, Parisa, Robert C. Allen, V. K. Jagarlamudi, et al.. (2024). Parker Solar Probe observations of collisional effects on thermalizing the young solar wind. Astronomy and Astrophysics. 682. A152–A152. 13 indexed citations
7.
Bale, S. D., J. F. Drake, Michael D. McManus, et al.. (2023). Interchange reconnection as the source of the fast solar wind within coronal holes. Nature. 618(7964). 252–256. 66 indexed citations
8.
Badman, Samuel T., Pete Riley, Shaela I. Jones, et al.. (2023). Prediction and Verification of Parker Solar Probe Solar Wind Sources at 13.3 R⊙. Journal of Geophysical Research Space Physics. 128(4). 27 indexed citations
9.
Livi, R., D. E. Larson, A. Rahmati, et al.. (2023). Dispersive Suprathermal Ion Events Observed by the Parker Solar Probe Mission. The Astrophysical Journal Letters. 954(1). L32–L32. 2 indexed citations
10.
Dunn, C. G., Trevor A. Bowen, Alfred Mallet, Samuel T. Badman, & S. D. Bale. (2023). Effect of Spherical Polarization on the Magnetic Spectrum of the Solar Wind. The Astrophysical Journal. 958(1). 88–88. 6 indexed citations
11.
Cheung, Mark C. M., Meng Jin, N. Nitta, et al.. (2023). Improved Observational Coverage of the Solar Magnetic Field.
12.
Samanta, Tanmoy, Samuel T. Badman, Shah Mohammad Bahauddin, et al.. (2022). Searching for a Solar Source of Magnetic-Field Switchbacks in Parker Solar Probe’s First Encounter. Solar Physics. 297(7). 90–90. 7 indexed citations
13.
Badman, Samuel T., Eoin Carley, N. Dresing, et al.. (2022). Tracking a Beam of Electrons from the Low Solar Corona into Interplanetary Space with the Low Frequency Array, Parker Solar Probe, and 1 au Spacecraft. The Astrophysical Journal. 938(2). 95–95. 14 indexed citations
14.
Badman, Samuel T., David H. Brooks, Nicolas Poirier, et al.. (2022). Constraining Global Coronal Models with Multiple Independent Observables. The Astrophysical Journal. 932(2). 135–135. 22 indexed citations
15.
Cattell, C. A., Lindsay Glesener, J. Dombeck, et al.. (2021). Periodicities in an active region correlated with Type III radio bursts observed by Parker Solar Probe. Springer Link (Chiba Institute of Technology). 12 indexed citations
16.
Woolley, T., Lorenzo Matteini, Michael D. McManus, et al.. (2021). Plasma properties, switchback patches, and low α-particle abundance in slow Alfvénic coronal hole wind at 0.13 au. Monthly Notices of the Royal Astronomical Society. 508(1). 236–244. 13 indexed citations
17.
Riley, Pete, R. Lionello, Ronald M. Caplan, et al.. (2021). Using Parker Solar Probe observations during the first four perihelia to constrain global magnetohydrodynamic models. Springer Link (Chiba Institute of Technology). 29 indexed citations
18.
Laker, R., T. S. Horbury, S. D. Bale, et al.. (2020). Statistical analysis of orientation, shape, and size of solar wind switchbacks. Astronomy and Astrophysics. 650. A1–A1. 30 indexed citations
19.
Stansby, David, Anthony R. Yeates, & Samuel T. Badman. (2020). pfsspy: A Python package for potential field source surface modelling. The Journal of Open Source Software. 5(54). 2732–2732. 60 indexed citations
20.
Stansby, David, Laura Berčič, Lorenzo Matteini, et al.. (2020). Sensitivity of solar wind mass flux to coronal temperature. Astronomy and Astrophysics. 650. L2–L2. 2 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.

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