Hugh Garsden

1.2k total citations
18 papers, 242 citations indexed

About

Hugh Garsden is a scholar working on Astronomy and Astrophysics, Aerospace Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Hugh Garsden has authored 18 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Astronomy and Astrophysics, 6 papers in Aerospace Engineering and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Hugh Garsden's work include Radio Astronomy Observations and Technology (11 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Astrophysics and Cosmic Phenomena (5 papers). Hugh Garsden is often cited by papers focused on Radio Astronomy Observations and Technology (11 papers), Galaxies: Formation, Evolution, Phenomena (6 papers) and Astrophysics and Cosmic Phenomena (5 papers). Hugh Garsden collaborates with scholars based in United States, Australia and United Kingdom. Hugh Garsden's co-authors include Geraint F. Lewis, Jayce Dowell, Danny C. Price, Marta Spinelli, Anastasia Fialkov, G. Bernardi, Philip Bull, Benjamin R. Barsdell, L. J. Greenhill and F. K. Schinzel and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, New Astronomy and Journal of Instrumentation.

In The Last Decade

Hugh Garsden

17 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hugh Garsden United States 9 198 108 80 24 23 18 242
Kristian Zarb Adami Malta 11 271 1.4× 134 1.2× 96 1.2× 32 1.3× 13 0.6× 44 326
Brent Carlson Canada 8 162 0.8× 44 0.4× 47 0.6× 28 1.2× 14 0.6× 25 216
D. S. Bagri United States 8 320 1.6× 119 1.1× 120 1.5× 27 1.1× 26 1.1× 36 377
David H. E. MacMahon United States 11 339 1.7× 78 0.7× 56 0.7× 45 1.9× 9 0.4× 32 382
Nadeem Oozeer South Africa 10 224 1.1× 127 1.2× 44 0.6× 17 0.7× 8 0.3× 27 264
K. Golap United States 7 387 2.0× 187 1.7× 111 1.4× 18 0.8× 15 0.7× 19 414
Joshua G. Albert Netherlands 4 250 1.3× 147 1.4× 96 1.2× 27 1.1× 8 0.3× 6 262
Joseph Lazio United States 11 534 2.7× 246 2.3× 139 1.7× 48 2.0× 12 0.5× 83 589
Jonathan S. Kenyon South Africa 5 163 0.8× 65 0.6× 49 0.6× 7 0.3× 9 0.4× 13 179
Steven Cunnington United Kingdom 12 329 1.7× 139 1.3× 30 0.4× 24 1.0× 19 0.8× 21 373

Countries citing papers authored by Hugh Garsden

Since Specialization
Citations

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

Fields of papers citing papers by Hugh Garsden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugh Garsden

This figure shows the co-authorship network connecting the top 25 collaborators of Hugh Garsden. A scholar is included among the top collaborators of Hugh Garsden 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 Hugh Garsden. Hugh Garsden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bull, Philip, Hugh Garsden, N. Roddis, et al.. (2025). RHINO: a large horn antenna for detecting the 21 cm global signal. 4. 1 indexed citations
2.
Bull, Philip, et al.. (2024). Statistical estimation of full-sky radio maps from 21 cm array visibility data using Gaussian constrained realizations. Research Explorer (The University of Manchester). 3(1). 607–624. 4 indexed citations
3.
Wilensky, Michael J., Jacob Burba, Philip Bull, et al.. (2024). High-dimensional inference of radio interferometer beam patterns I: parametric model of the HERA beams. Research Explorer (The University of Manchester). 3(1). 400–414. 6 indexed citations
4.
Burba, Jacob, et al.. (2024). Sensitivity of Bayesian 21 cm power spectrum estimation to foreground model errors. Monthly Notices of the Royal Astronomical Society. 535(1). 793–806. 4 indexed citations
5.
Spinelli, Marta, G. Bernardi, Pietro Bolli, et al.. (2022). Antenna beam characterization for the global 21-cm experiment LEDA and its impact on signal model parameter reconstruction. Monthly Notices of the Royal Astronomical Society. 515(2). 1580–1597. 19 indexed citations
6.
Garsden, Hugh, L. J. Greenhill, G. Bernardi, et al.. (2021). A 21-cm power spectrum at 48 MHz, using the Owens Valley Long Wavelength Array. Monthly Notices of the Royal Astronomical Society. 506(4). 5802–5817. 31 indexed citations
7.
Spinelli, Marta, G. Bernardi, Hugh Garsden, et al.. (2021). Spectral index of the Galactic foreground emission in the 50–87 MHz range. Monthly Notices of the Royal Astronomical Society. 505(2). 1575–1588. 17 indexed citations
8.
Choudhuri, Samir, Philip Bull, & Hugh Garsden. (2021). Patterns of primary beam non-redundancy in close-packed 21 cm array observations. Monthly Notices of the Royal Astronomical Society. 506(2). 2066–2088. 19 indexed citations
9.
Eastwood, Michael, Gregg Hallinan, Benjamin R. Barsdell, et al.. (2018). The Radio Sky at Meter Wavelengths: M-mode Analysis Imaging with the OVRO-LWA. Figshare. 51 indexed citations
10.
Cranmer, Miles, Benjamin R. Barsdell, Danny C. Price, et al.. (2017). Bifrost: A Python/C++ Framework for High-Throughput Stream Processing in Astronomy. Journal of Astronomical Instrumentation. 6(4). 27 indexed citations
11.
Garsden, Hugh, Jean‐Luc Starck, S. Corbel, et al.. (2015). Sparse representations and convex optimization as tools for LOFAR radio interferometric imaging. Journal of Instrumentation. 10(8). C08013–C08013. 13 indexed citations
12.
Garsden, Hugh, N. F. Bate, & Geraint F. Lewis. (2012). Probing planetary mass dark matter in galaxies: gravitational nanolensing of multiply imaged quasars★. Monthly Notices of the Royal Astronomical Society. no–no. 3 indexed citations
13.
Garsden, Hugh, N. F. Bate, & Geraint F. Lewis. (2011). Gravitational microlensing of a reverberating quasar broad-line region - I. Method and qualitative results★. Monthly Notices of the Royal Astronomical Society. 418(2). 1012–1027. 7 indexed citations
14.
Bate, N. F., Christopher J. Fluke, Benjamin R. Barsdell, Hugh Garsden, & Geraint F. Lewis. (2010). Computational advances in gravitational microlensing: A comparison of CPU, GPU, and parallel, large data codes. New Astronomy. 15(8). 726–734. 17 indexed citations
15.
Garsden, Hugh & Geraint F. Lewis. (2009). Gravitational microlensing: A parallel, large-data implementation. New Astronomy. 15(2). 181–188. 10 indexed citations
16.
Garsden, Hugh, et al.. (1997). Development and application of an accurate and flexible automatic aligner. International Journal of Speech Technology. 1(2). 151–160. 5 indexed citations
17.
Garsden, Hugh, et al.. (1993). Exploring the Stream Data Type in SISAL and Other Languages. 283–294. 6 indexed citations
18.
Garsden, Hugh, et al.. (1992). Experiments with pipelining parallelism in SISAL. 251–262 vol.2. 2 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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