G. Barnes

5.3k citations
68 papers · 3.3k · 2 hit papers · h-index 24

Impact in

Papers in

G. Barnes

65 papers receiving 3.1k citations

G. Barnes's Hit Papers

The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches 2014 · 473 citations
4730+4+8Years since publication100200300400

Peers

G. Barnes
Comparison fields: 5 of 56
  • Astronomy and Astrophysics 3.1k
  • Artificial Intelligence 769
  • Molecular Biology 1.1k
  • Oceanography 137
  • Renewable Energy, Sustainability and the Environment 123
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside G. Barnes, 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 G. Barnes Line = papers co-authored together G. Barnes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches
Hit paper breakdown →
2014473
2
The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: Overview and Performance
Hit paper breakdown →
2014384
3 2009227
4 2008201
5 2006201
6 2009193
7 2007154
8 2003151
9 2016150
10 2003140
11 2008135
12 200782
13 200879
14 201477
15 200560
16 200758
17 200650
18 201840
19 200539
20 201236

About G. Barnes

G. Barnes is a scholar working on Astronomy and Astrophysics, Molecular Biology, Clinical Psychology, Artificial Intelligence and Oceanography, having authored 68 papers that have together received 3.3k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (48 papers), Geomagnetism and Paleomagnetism Studies (26 papers), Stellar, planetary, and galactic studies (20 papers), Ionosphere and magnetosphere dynamics (15 papers), Transactional Analysis in Psychotherapy (14 papers), Solar Radiation and Photovoltaics (12 papers), Psychotherapy Techniques and Applications (10 papers) and Personality Disorders and Psychopathology (7 papers). The work is most often cited by research in Astronomy and Astrophysics (3.1k citations), Artificial Intelligence (769 citations), Molecular Biology (1.1k citations), Oceanography (137 citations) and Renewable Energy, Sustainability and the Environment (123 citations). G. Barnes has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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 Thomas R. Metcalf. Their work appears in journals such as The Astrophysical Journal, Solar Physics, The Astrophysical Journal Supplement Series, Kybernetes and Space Weather.

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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