Matthew Angling

1.4k total citations
48 papers, 948 citations indexed

About

Matthew Angling is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Geophysics. According to data from OpenAlex, Matthew Angling has authored 48 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Astronomy and Astrophysics, 33 papers in Aerospace Engineering and 13 papers in Geophysics. Recurrent topics in Matthew Angling's work include Ionosphere and magnetosphere dynamics (40 papers), GNSS positioning and interference (29 papers) and Earthquake Detection and Analysis (13 papers). Matthew Angling is often cited by papers focused on Ionosphere and magnetosphere dynamics (40 papers), GNSS positioning and interference (29 papers) and Earthquake Detection and Analysis (13 papers). Matthew Angling collaborates with scholars based in United Kingdom, United States and Italy. Matthew Angling's co-authors include Paul S. Cannon, Sean Elvidge, N. Jakowski, B. Khattatov, B. Nava, R. Leitinger, Manuel Hernández Pajares, Neil R. Thomson, Craig J. Rodger and János Lichtenberger and has published in prestigious journals such as Geoscientific model development, Radio Science and Advances in Space Research.

In The Last Decade

Matthew Angling

45 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Angling United Kingdom 17 789 508 326 270 133 48 948
Robert Norman Australia 19 878 1.1× 574 1.1× 341 1.0× 328 1.2× 155 1.2× 55 1.1k
S. Skone Canada 21 975 1.2× 737 1.5× 336 1.0× 372 1.4× 188 1.4× 95 1.2k
Lung‐Chih Tsai Taiwan 20 817 1.0× 395 0.8× 594 1.8× 168 0.6× 167 1.3× 72 1.0k
Seebany Datta‐Barua United States 15 637 0.8× 608 1.2× 197 0.6× 296 1.1× 63 0.5× 73 786
Nate Harvey United States 10 573 0.7× 675 1.3× 269 0.8× 670 2.5× 85 0.6× 16 1.1k
Jinsong Ping China 15 720 0.9× 372 0.7× 146 0.4× 281 1.0× 55 0.4× 88 868
Kutubuddin Ansari South Korea 17 382 0.5× 323 0.6× 400 1.2× 180 0.7× 79 0.6× 65 738
Àngela Aragón‐Ángel Spain 17 864 1.1× 723 1.4× 386 1.2× 436 1.6× 156 1.2× 42 1.0k
C. Brunini Argentina 21 1.4k 1.8× 968 1.9× 586 1.8× 583 2.2× 200 1.5× 66 1.6k
Biagio Forte United Kingdom 15 619 0.8× 651 1.3× 201 0.6× 290 1.1× 66 0.5× 46 808

Countries citing papers authored by Matthew Angling

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Angling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Angling

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Angling. A scholar is included among the top collaborators of Matthew Angling 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 Matthew Angling. Matthew Angling 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.
Pérez, Raül Orús, et al.. (2024). Testing the ionospheric model delay and uncertainty estimates with an uncombined navigation filter. Journal of Atmospheric and Solar-Terrestrial Physics. 262. 106299–106299.
2.
Elvidge, Sean, et al.. (2023). Multi‐Model Ensembles for Upper Atmosphere Models. Space Weather. 21(3). 6 indexed citations
3.
Nordström, Karl, et al.. (2022). Semi-supervised classification of lower-ionospheric perturbations using GNSS radio occultation observations from Spire Global’s Cubesat Constellation. Journal of Space Weather and Space Climate. 12. 14–14. 4 indexed citations
4.
Angling, Matthew, et al.. (2021). Sensing the ionosphere with the Spire radio occultation constellation. Journal of Space Weather and Space Climate. 11. 56–56. 36 indexed citations
5.
Elvidge, Sean, et al.. (2021). Comparison of Low‐Latitude Ionospheric Scintillation Forecasting Techniques Using a Physics‐Based Model. Space Weather. 19(7). 6 indexed citations
6.
Elvidge, Sean & Matthew Angling. (2019). Using the local ensemble Transform Kalman Filter for upper atmospheric modelling. Journal of Space Weather and Space Climate. 9. A30–A30. 24 indexed citations
7.
Angling, Matthew, Sean Elvidge, & S. B. Healy. (2018). Improved model for correcting the ionospheric impact on bending angle in radio occultation measurements. Atmospheric measurement techniques. 11(4). 2213–2224. 16 indexed citations
8.
Groves, K. M., William J. McNeil, Charles S. Carrano, et al.. (2017). HF propagation results from the Metal Oxide Space Cloud (MOSC) experiment. Radio Science. 52(6). 710–722. 9 indexed citations
9.
Elvidge, Sean, Matthew Angling, M. Codrescu, et al.. (2017). A community wide ionospheric modelling challenge. University of Birmingham Research Portal (University of Birmingham). 2 indexed citations
10.
Elvidge, Sean, H. C. Godinez, & Matthew Angling. (2016). Improved forecasting of thermospheric densities using multi-model ensembles. Geoscientific model development. 9(6). 2279–2292. 17 indexed citations
11.
Cannon, Paul S., et al.. (2015). Using GNSS signals as a proxy for SAR signals: Correcting ionospheric defocusing. Radio Science. 51(2). 60–70. 12 indexed citations
12.
Angling, Matthew, et al.. (2013). The wideband ionospheric sounder cubesat experiment. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 2 indexed citations
13.
Groves, K. M., R. G. Caton, T. R. Pedersen, et al.. (2013). The Metal Oxide Space Clouds (MOSC) Experiment: High Frequency (HF) Signatures and Interactions with the Ambient Ionosphere. AGUFM. 2013. 2 indexed citations
14.
15.
Feltens, J., et al.. (2010). GNSS Contribution to Next Generation Global Ionospheric Monitoring. TUbilio (Technical University of Darmstadt). 5 indexed citations
16.
Angling, Matthew, et al.. (2009). On the Use of Ground and Space Based GPS Measurements in the Electron Density Assimilative Model (EDAM). University of Birmingham Research Portal (University of Birmingham). 711–717.
17.
Pietrella, M., Loredana Perrone, Vincenzo Romano, et al.. (2009). Oblique-incidence ionospheric soundings over Central Europe and their application for testing now casting and long term prediction models. Advances in Space Research. 43(11). 1611–1620. 25 indexed citations
18.
Angling, Matthew, Joseph A. Shaw, A. K. Shukla, & Paul S. Cannon. (2009). Development of an HF selection tool based on the Electron Density Assimilative Model near‐real‐time ionosphere. Radio Science. 44(1). 33 indexed citations
19.
Clilverd, Mark A., et al.. (2001). Total solar eclipse effects on VLF signals' and modeling Observations. 1 indexed citations
20.
Willink, T.J., et al.. (1999). Robust HF data communications at high latitudes. IEE Proceedings - Microwaves Antennas and Propagation. 146(4). 263–263. 4 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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