P. H. Keys

1.4k total citations
38 papers, 818 citations indexed

About

P. H. Keys is a scholar working on Astronomy and Astrophysics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, P. H. Keys has authored 38 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Astronomy and Astrophysics, 12 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in P. H. Keys's work include Solar and Space Plasma Dynamics (35 papers), Stellar, planetary, and galactic studies (23 papers) and Astro and Planetary Science (21 papers). P. H. Keys is often cited by papers focused on Solar and Space Plasma Dynamics (35 papers), Stellar, planetary, and galactic studies (23 papers) and Astro and Planetary Science (21 papers). P. H. Keys collaborates with scholars based in United Kingdom, United States and Italy. P. H. Keys's co-authors include D. B. Jess, M. Mathioudakis, D. J. Christian, S. D. T. Grant, Sergiy Shelyag, F. P. Keenan, F. P. Keenan, D. H. Mackay, Tom Van Doorsselaere and M. Stangalini and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Astrophysical Journal.

In The Last Decade

P. H. Keys

34 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. H. Keys United Kingdom 17 792 227 92 23 23 38 818
S. Jafarzadeh Norway 17 602 0.8× 135 0.6× 94 1.0× 11 0.5× 8 0.3× 45 619
N. Mein France 17 743 0.9× 120 0.5× 75 0.8× 38 1.7× 19 0.8× 60 779
Reizaburo Kitai Japan 21 1.3k 1.7× 219 1.0× 117 1.3× 36 1.6× 11 0.5× 73 1.4k
S. Parenti France 16 958 1.2× 147 0.6× 90 1.0× 20 0.9× 14 0.6× 51 992
Thomas A. Schad United States 13 821 1.0× 291 1.3× 71 0.8× 21 0.9× 10 0.4× 47 857
David Alexander United States 19 930 1.2× 211 0.9× 69 0.8× 17 0.7× 8 0.3× 44 982
Sanjiv K. Tiwari United States 16 574 0.7× 134 0.6× 147 1.6× 24 1.0× 20 0.9× 56 678
T. L. Riethmüller Germany 14 585 0.7× 122 0.5× 142 1.5× 17 0.7× 14 0.6× 27 628
S. Danilović Germany 19 1.0k 1.3× 228 1.0× 191 2.1× 23 1.0× 9 0.4× 45 1.1k
Z. Frank United States 17 1.3k 1.6× 341 1.5× 212 2.3× 40 1.7× 34 1.5× 38 1.3k

Countries citing papers authored by P. H. Keys

Since Specialization
Citations

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

Fields of papers citing papers by P. H. Keys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. H. Keys. 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 P. H. Keys. The network helps show where P. H. Keys may publish in the future.

Co-authorship network of co-authors of P. H. Keys

This figure shows the co-authorship network connecting the top 25 collaborators of P. H. Keys. A scholar is included among the top collaborators of P. H. Keys 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 P. H. Keys. P. H. Keys 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.
Mathioudakis, M., et al.. (2025). Application of Deep Learning to the Classification of Stokes Profiles: From the Quiet Sun to Sunspots. The Astrophysical Journal. 988(1). 9–9.
2.
Keys, P. H., et al.. (2024). A search for mode coupling in magnetic bright points. Astronomy and Astrophysics. 690. A363–A363. 1 indexed citations
3.
Jess, D. B., S. D. T. Grant, Jiajia Liu, et al.. (2023). The Fibre Resolved OpticAl and Near-Ultraviolet Czerny–Turner Imaging Spectropolarimeter (francis). Solar Physics. 298(12).
4.
Keys, P. H., M. Mathioudakis, Friedrich Wöger, et al.. (2023). DKIST Unveils the Serpentine Topology of Quiet Sun Magnetism in the Photosphere. The Astrophysical Journal Letters. 955(2). L36–L36. 6 indexed citations
5.
Jess, D. B., S. Jafarzadeh, P. H. Keys, et al.. (2023). Waves in the lower solar atmosphere: the dawn of next-generation solar telescopes. SHILAP Revista de lepidopterología. 20(1). 30 indexed citations
6.
Grant, S. D. T., D. B. Jess, M. Stangalini, et al.. (2022). The Propagation of Coherent Waves Across Multiple Solar Magnetic Pores. The Astrophysical Journal. 938(2). 143–143. 11 indexed citations
7.
Jess, D. B., V. M. Nakariakov, S. D. T. Grant, et al.. (2022). High-frequency Waves in Chromospheric Spicules. The Astrophysical Journal. 930(2). 129–129. 22 indexed citations
8.
Stangalini, M., G. Verth, V. Fedun, et al.. (2022). Large scale coherent magnetohydrodynamic oscillations in a sunspot. Nature Communications. 13(1). 479–479. 11 indexed citations
9.
MacBride, C. D., D. B. Jess, S. D. T. Grant, et al.. (2021). Accurately constraining velocity information from spectral imaging observations using machine learning techniques: Fitting velocities with machine learning. Research Portal (Queen's University Belfast). 9 indexed citations
10.
Mathioudakis, M., M. Collados, P. H. Keys, et al.. (2021). Temporal evolution of small-scale internetwork magnetic fields in the solar photosphere. Springer Link (Chiba Institute of Technology). 9 indexed citations
11.
Shelyag, Sergiy, et al.. (2021). Constraining the magnetic vector in the quiet solar photosphere and the impact of instrumental degradation. Springer Link (Chiba Institute of Technology). 5 indexed citations
12.
Zuccarello, F. & P. H. Keys. (2020). Continuum enhancements, line profiles and magnetic field evolution during consecutive flares. Research Portal (Queen's University Belfast). 5 indexed citations
13.
Jess, D. B., S. D. T. Grant, P. H. Keys, et al.. (2020). Magnetoacoustic wave energy dissipation in the atmosphere of solar pores. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2190). 20200172–20200172. 12 indexed citations
14.
Keys, P. H., et al.. (2020). On the effect of oscillatory phenomena on Stokes inversion results. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2190). 3 indexed citations
15.
Jess, D. B., Michael S. Kirk, F. Reale, et al.. (2019). Statistical Signatures of Nanoflare Activity. I. Monte Carlo Simulations and Parameter-space Exploration. The Astrophysical Journal. 871(2). 133–133. 20 indexed citations
16.
Keys, P. H., M. Mathioudakis, Sergiy Shelyag, et al.. (2019). The magnetic properties of photospheric magnetic bright points with high-resolution spectropolarimetry. Monthly Notices of the Royal Astronomical Society Letters. 488(1). L53–L58. 11 indexed citations
17.
Jess, D. B., G. J. J. Botha, B. Fleck, et al.. (2019). A chromospheric resonance cavity in a sunspot mapped with seismology. Nature Astronomy. 4(3). 220–227. 30 indexed citations
18.
Stangalini, M., S. Jafarzadeh, I. Ermolli, et al.. (2018). Propagating Spectropolarimetric Disturbances in a Large Sunspot. The Astrophysical Journal. 869(2). 110–110. 15 indexed citations
19.
Keys, P. H., R. J. Morton, D. B. Jess, et al.. (2018). Photospheric Observations of Surface and Body Modes in Solar Magnetic Pores. The Astrophysical Journal. 857(1). 28–28. 39 indexed citations
20.
Keys, P. H., D. B. Jess, M. Mathioudakis, & F. P. Keenan. (2011). Chromospheric velocities of a C-class flare. Springer Link (Chiba Institute of Technology). 5 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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