Will Barnes

836 citations
17 papers · 526 · 1 hit paper · h-index 8

Impact in

Papers in

Will Barnes

16 papers receiving 482 citations

Will Barnes's Hit Papers

The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package 2020 · 378 citations
3780+2+4Years since publication100200300

Peers

Will Barnes
Comparison fields: 5 of 19
  • Astronomy and Astrophysics 500
  • Instrumentation 15
  • Computer Vision and Pattern Recognition 14
  • Information Systems and Management 4
  • Artificial Intelligence 11
Replace Jongyeob Park with:
Jongyeob Park South Korea
Kolja Glogowski Germany
J. L. Fischer United States
Marina Trevisan Brazil
Michelle Ntampaka United States
J. Rey Switzerland
S. H. Saar United States
Jessica M. Hislop Germany
Anna K. Weigel Switzerland
R. Cañameras Germany
Will Barnes relative to Jongyeob Park South Korea Jongyeob Park's profile →
Citations per field
00.5×1.5×1.9×
Jongyeob Park · 1×
Citations per year

Countries citing papers authored by Will Barnes

Since Specialization
Citations

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

Fields of papers citing papers by Will Barnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
The SunPy Project: Open Source Development and Status of the Version 1.0 Core Package
Hit paper breakdown →
2020378
2 201629
3 202425
4 201915
5 202115
6 202214
7 202311
8 202110
9 20237
10 20235
11 20234
12 20244
13 20254
14 20242
15 20252
16
A Search for Solar Hard X-ray Microflares near Solar Minimum
19891
17 20240

About Will Barnes

Will Barnes is a scholar working on Astronomy and Astrophysics, Instrumentation, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Nuclear Energy and Engineering, having authored 17 papers that have together received 526 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (15 papers), Computational Physics and Python Applications (4 papers), Astronomy and Astrophysical Research (2 papers), Stellar, planetary, and galactic studies (1 paper) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (500 citations), Instrumentation (15 citations), Computer Vision and Pattern Recognition (14 citations), Information Systems and Management (4 citations) and Artificial Intelligence (11 citations). Will Barnes has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include S. J. Bradshaw, P. J. Cargill, Jeffrey W. Reep, Harry P. Warren, Enrico Landi, Peter R. Young, James A. Klimchuk, K. P. Dere, G. Del Zanna and Ignacio Ugarte‐Urra. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society, Frontiers in Astronomy and Space Sciences, The Astrophysical Journal Letters 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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