G. Chisham

2.6k total citations · 1 hit paper
73 papers, 2.0k citations indexed

About

G. Chisham is a scholar working on Astronomy and Astrophysics, Molecular Biology and Geophysics. According to data from OpenAlex, G. Chisham has authored 73 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Astronomy and Astrophysics, 36 papers in Molecular Biology and 24 papers in Geophysics. Recurrent topics in G. Chisham's work include Ionosphere and magnetosphere dynamics (71 papers), Solar and Space Plasma Dynamics (40 papers) and Geomagnetism and Paleomagnetism Studies (36 papers). G. Chisham is often cited by papers focused on Ionosphere and magnetosphere dynamics (71 papers), Solar and Space Plasma Dynamics (40 papers) and Geomagnetism and Paleomagnetism Studies (36 papers). G. Chisham collaborates with scholars based in United Kingdom, United States and France. G. Chisham's co-authors include M. P. Freeman, G. J. Sofko, T. K. Yeoman, M. Pinnock, M. Lester, David Orr, R. A. Greenwald, Gary Abel, S. E. Milan and J. P. Villain and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Reviews of Geophysics.

In The Last Decade

G. Chisham

70 papers receiving 2.0k citations

Hit Papers

A decade of the Super Dua... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G. Chisham 2.0k 814 715 571 180 73 2.0k
Н. Нишитани 2.2k 1.1× 667 0.8× 1.2k 1.6× 710 1.2× 195 1.1× 147 2.3k
W. A. Bristow 2.2k 1.1× 731 0.9× 842 1.2× 783 1.4× 202 1.1× 87 2.3k
K. A. McWilliams 2.1k 1.0× 834 1.0× 668 0.9× 620 1.1× 164 0.9× 96 2.1k
Natsuo Sato 2.5k 1.2× 919 1.1× 1.0k 1.5× 713 1.2× 169 0.9× 75 2.5k
E. Spanswick 2.1k 1.1× 623 0.8× 992 1.4× 337 0.6× 251 1.4× 110 2.1k
Paul Prikryl 1.3k 0.7× 406 0.5× 598 0.8× 559 1.0× 139 0.8× 67 1.4k
C. J. Heinselman 1.8k 0.9× 405 0.5× 631 0.9× 475 0.8× 331 1.8× 83 1.9k
K. Oksavik 3.1k 1.6× 1.2k 1.4× 994 1.4× 1.1k 1.9× 287 1.6× 135 3.2k
A. Grocott 2.3k 1.2× 1.3k 1.6× 657 0.9× 376 0.7× 153 0.8× 90 2.4k
S. Tulasi Ram 1.9k 0.9× 491 0.6× 994 1.4× 647 1.1× 270 1.5× 88 2.0k

Countries citing papers authored by G. Chisham

Since Specialization
Citations

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

Fields of papers citing papers by G. Chisham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Chisham. A scholar is included among the top collaborators of G. Chisham 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. Chisham. G. Chisham 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.
Freeman, M. P., et al.. (2024). Influences of Space Weather Forecasting Uncertainty on Satellite Conjunction Assessment. Space Weather. 22(7). 3 indexed citations
2.
Lam, Mai Mai, et al.. (2023). A Model of High Latitude Ionospheric Convection Derived From SuperDARN EOF Model Data. Space Weather. 21(7). 3 indexed citations
3.
Coxon, John, G. Chisham, M. P. Freeman, et al.. (2023). Extreme Birkeland Currents Are More Likely During Geomagnetic Storms on the Dayside of the Earth. Journal of Geophysical Research Space Physics. 128(12). 7 indexed citations
4.
Chisham, G. & M. P. Freeman. (2023). Separating Contributions to Plasma Vorticity in the High‐Latitude Ionosphere From Large‐Scale Convection and Meso‐Scale Turbulence. Journal of Geophysical Research Space Physics. 128(9). 1 indexed citations
5.
Grocott, A., et al.. (2022). A Quantitative Comparison of High Latitude Electric Field Models During a Large Geomagnetic Storm. Space Weather. 21(1). 9 indexed citations
6.
Chisham, G., A. G. Burrell, A. Marchaudon, et al.. (2021). Comparison of interferometer calibration techniques for improved SuperDARN elevation angles. Polar Science. 28. 100638–100638. 10 indexed citations
7.
Burrell, A. G., G. Chisham, Stephen E. Milan, et al.. (2020). AMPERE polar cap boundaries. Annales Geophysicae. 38(2). 481–490. 17 indexed citations
8.
Нишитани, Н., J. M. Ruohoniemi, M. Lester, et al.. (2019). Review of the accomplishments of mid-latitude Super Dual Auroral Radar Network (SuperDARN) HF radars. Progress in Earth and Planetary Science. 6(1). 154 indexed citations
9.
Chisham, G., et al.. (2014). Magnetic local time variation and scaling of poleward auroral boundary dynamics. Journal of Geophysical Research Space Physics. 119(12). 4 indexed citations
10.
Boakes, Peter, S. E. Milan, Gary Abel, et al.. (2011). A superposed epoch investigation of the relation between magnetospheric solar wind driving and substorm dynamics with geosynchronous particle injection signatures. Leicester Research Archive (University of Leicester). 12 indexed citations
11.
Chisham, G., M. P. Freeman, Gary Abel, et al.. (2008). Remote sensing of the spatial and temporal structure of magnetopause and magnetotail reconnection from the ionosphere. Reviews of Geophysics. 46(1). 37 indexed citations
12.
Boakes, Peter, S. E. Milan, Gary Abel, et al.. (2008). On the use of IMAGE FUV for estimating the latitude of the open/closed magnetic field line boundary in the ionosphere. Annales Geophysicae. 26(9). 2759–2769. 49 indexed citations
13.
Chisham, G., M. Lester, S. E. Milan, et al.. (2007). A decade of the Super Dual Auroral Radar Network (SuperDARN): scientific achievements, new techniques and future directions. Surveys in Geophysics. 28(1). 33–109. 586 indexed citations breakdown →
14.
Chisham, G., M. P. Freeman, Mai Mai Lam, et al.. (2005). A statistical comparison of SuperDARN spectral width boundaries and DMSP particle precipitation boundaries in the afternoon sector ionosphere. Annales Geophysicae. 23(12). 3645–3654. 18 indexed citations
15.
Freeman, M. P. & G. Chisham. (2004). On the probability distributions of SuperDARN Doppler spectral width measurements inside and outside the cusp. Geophysical Research Letters. 31(22). 8 indexed citations
16.
Chisham, G. & M. P. Freeman. (2003). A technique for accurately determining the cusp-region polar cap boundary using SuperDARN HF radar measurements. Annales Geophysicae. 21(4). 983–996. 48 indexed citations
17.
18.
Chisham, G., S. J. Schwartz, D. Burgess, et al.. (2000). Multisatellite observations of large magnetic depressions in the solar wind. Journal of Geophysical Research Atmospheres. 105(A2). 2325–2335. 18 indexed citations
19.
Mann, I. R., G. Chisham, & J. A. Wanliss. (1999). Frequency‐doubled density perturbations driven by ULF pulsations. Journal of Geophysical Research Atmospheres. 104(A3). 4559–4565. 5 indexed citations
20.
Chisham, G., S. D. Bale, D. Burgess, & S. J. Schwartz. (1997). A large magnetic depression observed in the solar wind close to the Earth's bow shock. Advances in Space Research. 19(6). 869–872. 1 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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