D. A. Ryan

2.4k total citations
70 papers, 1.5k citations indexed

About

D. A. Ryan is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Ecology. According to data from OpenAlex, D. A. Ryan has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Nuclear and High Energy Physics, 22 papers in Astronomy and Astrophysics and 20 papers in Ecology. Recurrent topics in D. A. Ryan's work include Magnetic confinement fusion research (29 papers), Ionosphere and magnetosphere dynamics (20 papers) and Geology and Paleoclimatology Research (14 papers). D. A. Ryan is often cited by papers focused on Magnetic confinement fusion research (29 papers), Ionosphere and magnetosphere dynamics (20 papers) and Geology and Paleoclimatology Research (14 papers). D. A. Ryan collaborates with scholars based in United Kingdom, Australia and Germany. D. A. Ryan's co-authors include Brendan Brooke, Lynda Radke, Graeme R. Sarson, A. Kirk, Rachel Przeslawski, Anna W. McCallum, Camille Mellin, Matthew A. McArthur, A.D. Heap and Scott Nichol and has published in prestigious journals such as The Science of The Total Environment, Applied and Environmental Microbiology and Geophysical Research Letters.

In The Last Decade

D. A. Ryan

65 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Ryan United Kingdom 23 589 397 385 300 280 70 1.5k
J. L. Sanz Spain 36 246 0.4× 48 0.1× 55 0.1× 170 0.6× 114 0.4× 135 3.5k
Adrian Burd United States 28 1.0k 1.7× 2.1k 5.2× 170 0.4× 108 0.4× 201 0.7× 53 3.0k
John R. Taylor United Kingdom 34 213 0.4× 2.3k 5.7× 32 0.1× 207 0.7× 287 1.0× 120 3.4k
Carl H. Gibson United States 24 148 0.3× 881 2.2× 18 0.0× 143 0.5× 168 0.6× 63 1.9k
Christian B. Skovsted Sweden 36 141 0.2× 1.3k 3.2× 26 0.1× 430 1.4× 47 0.2× 128 3.7k
J.C. King United States 13 290 0.5× 206 0.5× 34 0.1× 140 0.5× 52 0.2× 42 2.3k
Hans van Haren Netherlands 33 812 1.4× 2.9k 7.4× 32 0.1× 687 2.3× 93 0.3× 183 3.7k
G. Rajagopalan India 20 296 0.5× 156 0.4× 18 0.0× 435 1.4× 65 0.2× 49 1.4k
N. L. Falcon Venezuela 17 76 0.1× 190 0.5× 30 0.1× 273 0.9× 90 0.3× 55 2.4k
H. Paul Johnson United States 36 392 0.7× 448 1.1× 7 0.0× 255 0.8× 126 0.5× 103 3.7k

Countries citing papers authored by D. A. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Ryan. 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 D. A. Ryan. The network helps show where D. A. Ryan may publish in the future.

Co-authorship network of co-authors of D. A. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of D. A. Ryan. A scholar is included among the top collaborators of D. A. Ryan 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 D. A. Ryan. D. A. Ryan 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.
Thiem, Jason D., Benjamin G. Fanson, D. A. Ryan, et al.. (2025). Repeated barrier drown-out is required to facilitate long-distance migration of a potamodromous fish. Aquatic Sciences. 87(4).
3.
Sun, X., et al.. (2025). A 3D helical filament surrogate model for 3D tokamak equilibria. Plasma Physics and Controlled Fusion. 67(4). 45028–45028. 1 indexed citations
4.
Hao, Guangzhou, Yueqiang Liu, S. Munaretto, et al.. (2025). Effects of equilibrium pressure on plasma response to RMPs in a spherical tokamak. Plasma Physics and Controlled Fusion. 67(8). 85040–85040.
5.
Suthers, Iain M., David A. Crook, Jason D. Thiem, et al.. (2025). Barrier features, fish traits, and river flows drive fragmentation of freshwater fish. Ecological Monographs. 95(2). 1 indexed citations
6.
Piron, L., et al.. (2025). Machine learning methods for locked-mode predictions in MAST-U plasmas. Plasma Physics and Controlled Fusion. 67(4). 45007–45007.
7.
Dreval, M., James Oliver, S. E. Sharapov, et al.. (2024). Observation of bi-directional global Alfvén eigenmodes in the MAST-U tokamak. Nuclear Fusion. 65(1). 16043–16043. 1 indexed citations
8.
Ryan, D. A., Christopher Ham, A. Kirk, et al.. (2024). First observation of RMP ELM mitigation on MAST Upgrade. Plasma Physics and Controlled Fusion. 66(10). 105003–105003. 2 indexed citations
9.
Piron, L., G. Cunningham, D. Terranova, et al.. (2024). Investigation of intrinsic error fields in MAST-U device. Fusion Engineering and Design. 205. 114544–114544. 2 indexed citations
10.
Berkery, J.W., S.A. Sabbagh, L. A. Kogan, et al.. (2023). Operational space and performance limiting events in the first physics campaign of MAST-U. Plasma Physics and Controlled Fusion. 65(4). 45001–45001. 7 indexed citations
11.
Gu, S., C. Paz-Soldan, Yueqiang Liu, et al.. (2022). Influence of triangularity on the plasma response to resonant magnetic perturbations. Nuclear Fusion. 62(7). 76031–76031. 8 indexed citations
12.
Willensdorfer, M., U. Plank, D. Brida, et al.. (2022). Dependence of the L–H power threshold on the alignment of external non-axisymmetric magnetic perturbations in ASDEX Upgrade. Physics of Plasmas. 29(3). 10 indexed citations
13.
Rolls, Robert J., Bruce C. Chessman, Jani Heino, et al.. (2022). Change in beta diversity of riverine fish during and after supra-seasonal drought. Landscape Ecology. 37(6). 1633–1651. 3 indexed citations
14.
Militello, F., John Omotani, Fabio Riva, et al.. (2019). Dynamics of scrape-off layer filaments in high β plasmas. Plasma Physics and Controlled Fusion. 61(10). 105013–105013. 11 indexed citations
15.
Ryan, D. A., M. Dunne, A. Kirk, et al.. (2019). Numerical survey of predicted peeling response in edge localised mode mitigated and suppressed phases on ASDEX upgrade. Plasma Physics and Controlled Fusion. 61(9). 95010–95010. 7 indexed citations
16.
Sanchis-Sanchez, L., M. García-Muñoz, A. Snicker, et al.. (2018). Characterisation of the fast-ion edge resonant transport layer induced by 3D perturbative fields in the ASDEX Upgrade tokamak through full orbit simulations. Plasma Physics and Controlled Fusion. 61(1). 14038–14038. 33 indexed citations
17.
Kirk, A., Li Li, Y. In, et al.. (2017). Summary of 21st joint EU-US transport task force workshop (Leysin, September 5–8, 2016). Max Planck Digital Library. 44 indexed citations
18.
Jordan, Phil, Alice R. Melland, Mairead Shore, et al.. (2014). The 'fine structure' of nutrient dynamics in rivers: ten years of study using high-frequency monitoring. EGUGA. 12387. 1 indexed citations
19.
Mitrovic, Simon M., et al.. (2010). Limitation of lowland riverine bacterioplankton by dissolved organic carbon and inorganic nutrients. Hydrobiologia. 652(1). 101–117. 16 indexed citations
20.
Ryan, D. A., et al.. (2008). Adjacency Branches Used To Optimize Forest Harvesting Subject to Area Restrictions on Clearfell. Forest Science. 54(4). 442–454. 6 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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