G. Barnes

5.0k total citations · 2 hit papers
64 papers, 3.1k citations indexed

About

G. Barnes is a scholar working on Astronomy and Astrophysics, Molecular Biology and Clinical Psychology. According to data from OpenAlex, G. Barnes has authored 64 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Astronomy and Astrophysics, 24 papers in Molecular Biology and 15 papers in Clinical Psychology. Recurrent topics in G. Barnes's work include Solar and Space Plasma Dynamics (45 papers), Geomagnetism and Paleomagnetism Studies (24 papers) and Stellar, planetary, and galactic studies (19 papers). G. Barnes is often cited by papers focused on Solar and Space Plasma Dynamics (45 papers), Geomagnetism and Paleomagnetism Studies (24 papers) and Stellar, planetary, and galactic studies (19 papers). G. Barnes collaborates with scholars based in United States, United Kingdom and Australia. G. Barnes's co-authors include K. D. Leka, Yang Liu, J. T. Hoeksema, Keiji Hayashi, Xudong Sun, Monica Bobra, M. Turmon, M. S. Wheatland, C. J. Schrijver and R. Centeno and has published in prestigious journals such as The Astrophysical Journal, The Astrophysical Journal Supplement Series and Solar Physics.

In The Last Decade

G. Barnes

60 papers receiving 2.9k citations

Hit Papers

The Helioseismic and Magnetic Imager (HMI) Vector Magneti... 2014 2026 2018 2022 2014 2014 100 200 300 400
What are hit papers?

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.

  1. The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches
    2014 453 citations J. T. Hoeksema, Yang Liu et al. Solar Physics profile →
  2. The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance
    2014 368 citations J. T. Hoeksema, Yang Liu et al. Solar Physics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Barnes United States 23 2.9k 1.0k 737 125 112 64 3.1k
K. D. Leka United States 31 3.9k 1.4× 1.4k 1.3× 871 1.2× 182 1.5× 122 1.1× 81 4.0k
Ju Jing United States 27 2.1k 0.7× 545 0.5× 498 0.7× 77 0.6× 86 0.8× 97 2.2k
Vasyl Yurchyshyn United States 32 3.2k 1.1× 881 0.8× 453 0.6× 109 0.9× 68 0.6× 141 3.3k
V. I. Abramenko United States 25 2.0k 0.7× 712 0.7× 327 0.4× 73 0.6× 46 0.4× 119 2.1k
R. I. Bush United States 14 3.8k 1.3× 1.0k 1.0× 732 1.0× 212 1.7× 57 0.5× 27 3.9k
Huaning Wang China 20 1.2k 0.4× 326 0.3× 497 0.7× 102 0.8× 82 0.7× 81 1.4k
Ronald L. Moore United States 40 5.0k 1.7× 1.0k 1.0× 487 0.7× 129 1.0× 98 0.9× 162 5.1k
L. Fletcher United Kingdom 30 3.8k 1.3× 893 0.9× 395 0.5× 98 0.8× 47 0.4× 138 3.9k
Monica Bobra United States 16 1.4k 0.5× 395 0.4× 380 0.5× 45 0.4× 64 0.6× 34 1.5k
R. S. Bogart United States 20 3.0k 1.0× 964 0.9× 511 0.7× 263 2.1× 43 0.4× 68 3.1k

Countries citing papers authored by G. Barnes

Since Specialization
Citations

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

Fields of papers citing papers by G. Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Barnes. 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 G. Barnes. The network helps show where G. Barnes may publish in the future.

Co-authorship network of co-authors of G. Barnes

This figure shows the co-authorship network connecting the top 25 collaborators of G. Barnes. A scholar is included among the top collaborators of G. Barnes 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 G. Barnes. G. Barnes 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.
2.
Barnes, G., et al.. (2024). Are Electric-field-driven Magnetohydrodynamic Simulations of the Solar Corona Sensitive to the Initial Condition?. The Astrophysical Journal. 960(2). 102–102.
3.
Fouhey, David F., S. K. Antiochos, G. Barnes, et al.. (2024). SuperSynthIA: Physics-ready Full-disk Vector Magnetograms from HMI, Hinode, and Machine Learning. The Astrophysical Journal. 970(2). 168–168. 4 indexed citations
4.
Green, Lucie M., et al.. (2024). How Does the Critical Torus Instability Height Vary with the Solar Cycle?. The Astrophysical Journal. 975(1). 52–52. 1 indexed citations
5.
Fouhey, David F., S. K. Antiochos, G. Barnes, et al.. (2023). Large-scale Spatial Cross-calibration of Hinode/SOT-SP and SDO/HMI. The Astrophysical Journal Supplement Series. 264(2). 49–49. 6 indexed citations
6.
7.
Barnes, G., Marc L. DeRosa, Shaela I. Jones, et al.. (2023). Implications of Different Solar Photospheric Flux-transport Models for Global Coronal and Heliospheric Modeling. The Astrophysical Journal. 946(2). 105–105. 10 indexed citations
8.
Fouhey, David F., S. K. Antiochos, G. Barnes, et al.. (2022). SynthIA: A Synthetic Inversion Approximation for the Stokes Vector Fusing SDO and Hinode into a Virtual Observatory. The Astrophysical Journal Supplement Series. 259(1). 24–24. 15 indexed citations
9.
Leka, K. D., et al.. (2018). The NWRA Classification Infrastructure: description and extension to the Discriminant Analysis Flare Forecasting System (DAFFS). Journal of Space Weather and Space Climate. 8. A25–A25. 36 indexed citations
10.
11.
Braun, D. C., et al.. (2016). A Fixed-point Scheme for the Numerical Construction of Magnetohydrostatic Atmospheres in Three Dimensions. Solar Physics. 291(12). 3583–3603. 8 indexed citations
12.
Leka, K. D., G. Barnes, & A. D. Crouch. (2014). AMBIG: Automated Ambiguity-Resolution Code. Astrophysics Source Code Library. 3 indexed citations
13.
Leka, K. D. & G. Barnes. (2013). The Second NWRA Flare-Forecasting Comparison Workshop: Methods Compared and Methodology. 1 indexed citations
14.
Ferguson, Ryan, R. Komm, F. Hill, G. Barnes, & K. D. Leka. (2009). Subsurface Flow Properties of Flaring Versus Flare-quiet Active Regions. ASPC. 416. 127. 2 indexed citations
15.
Leka, K. D., G. Barnes, & A. D. Crouch. (2009). An Automated Ambiguity-Resolution Code for Hinode/SP Vector Magnetic Field Data. 415. 365. 4 indexed citations
16.
Barnes, G. & K. D. Leka. (2008). Evaluating the Performance of Solar Flare Forecasting Methods. The Astrophysical Journal. 688(2). L107–L110. 73 indexed citations
17.
Barnes, G. & K. D. Leka. (2006). Photospheric Magnetic Field Properties of Flaring versus Flare‐quiet Active Regions. III. Magnetic Charge Topology Models. The Astrophysical Journal. 646(2). 1303–1318. 47 indexed citations
18.
Leka, K. D. & G. Barnes. (2004). Photospheric Magnetic Field Properties of Flaring vs. Flare-Quiet Active Regions III: Discriminant Analysis of a Statistically Significant Database. AAS. 204. 1 indexed citations
19.
Barnes, G., Paul Charbonneau, & K. B. MacGregor. (1999). Angular Momentum Transport in Magnetized Stellar Radiative Zones. III. The Solar Light‐Element Abundances. The Astrophysical Journal. 511(1). 466–480. 30 indexed citations
20.
Barnes, G.. (1995). You Can Always Do TA. Transactional Analysis Journal. 25(1). 9–13.

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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