J. Fergusson

22.0k total citations
28 papers, 756 citations indexed

About

J. Fergusson is a scholar working on Astronomy and Astrophysics, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Fergusson has authored 28 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 7 papers in Ophthalmology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Fergusson's work include Cosmology and Gravitation Theories (13 papers), Galaxies: Formation, Evolution, Phenomena (12 papers) and Optical Coherence Tomography Applications (4 papers). J. Fergusson is often cited by papers focused on Cosmology and Gravitation Theories (13 papers), Galaxies: Formation, Evolution, Phenomena (12 papers) and Optical Coherence Tomography Applications (4 papers). J. Fergusson collaborates with scholars based in United Kingdom, Italy and Austria. J. Fergusson's co-authors include E. P. S. Shellard, M. Liguori, Donough Regan, Maresuke Shiraishi, Xingang Chen, E. Sefusatti, Wuhyun Sohn, Nick White, Benjamin Wallisch and Dong-Gang Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Computational Physics.

In The Last Decade

J. Fergusson

28 papers receiving 748 citations

Peers

J. Fergusson
О. В. Верходанов Russia
L.-Y Chiang Russia
O. Engvold Norway
Pavel Naselsky Russia
Marcel Schmittfull United States
G. M. Guidi Italy
I. K. Wehus Norway
F. Elsner United States
J. D. McEwen United Kingdom
Amir Hajian United States
О. В. Верходанов Russia
J. Fergusson
Citations per year, relative to J. Fergusson J. Fergusson (= 1×) peers О. В. Верходанов

Countries citing papers authored by J. Fergusson

Since Specialization
Citations

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

Fields of papers citing papers by J. Fergusson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Fergusson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Fergusson. A scholar is included among the top collaborators of J. Fergusson 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 J. Fergusson. J. Fergusson 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.
Thomas, Nikita, Jennifer H. Acton, Jonathan T. Erichsen, et al.. (2025). The Human Fovea Is Relatively Horizontally Elongated in Infantile Nystagmus. Investigative Ophthalmology & Visual Science. 66(14). 56–56. 1 indexed citations
2.
Sohn, Wuhyun, Dong-Gang Wang, J. Fergusson, & E. P. S. Shellard. (2024). Searching for cosmological collider in the Planck CMB data. Journal of Cosmology and Astroparticle Physics. 2024(9). 16–16. 26 indexed citations
3.
Sohn, Wuhyun, J. Fergusson, & E. P. S. Shellard. (2023). High-resolution CMB bispectrum estimator with flexible modal bases. Physical review. D. 108(6). 12 indexed citations
4.
Fergusson, J., et al.. (2022). Quantifying biomarkers of axonal degeneration in early glaucoma to find the disc at risk. Scientific Reports. 12(1). 9366–9366. 2 indexed citations
5.
Baldauf, Tobias, et al.. (2021). Projected two- and three-point statistics: forecasts and mitigation of non-linear RSDs. Monthly Notices of the Royal Astronomical Society. 503(2). 2137–2156. 2 indexed citations
6.
Margrain, Tom H., David Atkinson, Alison M. Binns, et al.. (2020). Functional Imaging of the Outer Retinal Complex using High Fidelity Imaging Retinal Densitometry. Scientific Reports. 10(1). 4494–4494. 7 indexed citations
7.
Erchova, Irina, Alexandre R. Tumlinson, J. Fergusson, et al.. (2018). Optophysiological Characterisation of Inner Retina Responses with High-Resolution Optical Coherence Tomography. Scientific Reports. 8(1). 1813–1813. 10 indexed citations
8.
Morgan, James P., James R. Tribble, J. Fergusson, N.M. White, & Irina Erchova. (2017). The optical detection of retinal ganglion cell damage. Eye. 31(2). 199–205. 10 indexed citations
9.
White, Tomas, Philip N. Lewis, Sally Hayes, et al.. (2017). The Structural Role of Elastic Fibers in the Cornea Investigated Using a Mouse Model for Marfan Syndrome. Investigative Ophthalmology & Visual Science. 58(4). 2106–2106. 26 indexed citations
10.
Anantrasirichai, Nantheera, Irina Erchova, Nicholas White, et al.. (2017). Exploiting texture information in diagnosing Glaucoma. Explore Bristol Research. 19. 1–4. 3 indexed citations
11.
Terry, Louise, Jennifer H. Acton, Tom H. Margrain, et al.. (2016). Automated Retinal Layer Segmentation Using Spectral Domain Optical Coherence Tomography: Evaluation of Inter-Session Repeatability and Agreement between Devices. PLoS ONE. 11(9). e0162001–e0162001. 52 indexed citations
12.
Terry, Louise, Jingjing Deng, Xianghua Xie, et al.. (2016). Automated classification of age-related macular degeneration using choroidal optical coherence tomography imaging - a pilot study. Investigative Ophthalmology & Visual Science. 57(12). 45–45. 2 indexed citations
13.
Pennycook, S. J., et al.. (2016). Separable projection integrals for higher-order correlators of the cosmic microwave sky: Acceleration by factors exceeding 100. Journal of Computational Physics. 310. 285–300. 1 indexed citations
14.
Fergusson, J., et al.. (2015). Combining power spectrum and bispectrum measurements to detect oscillatory features. Physical review. D. Particles, fields, gravitation, and cosmology. 91(2). 33 indexed citations
15.
Fergusson, J., et al.. (2015). Polyspectra searches for sharp oscillatory features in cosmic microwave sky data. Physical review. D. Particles, fields, gravitation, and cosmology. 91(12). 27 indexed citations
16.
Fergusson, J.. (2014). Efficient optimal non-Gaussian CMB estimators with polarization. Physical review. D. Particles, fields, gravitation, and cosmology. 90(4). 14 indexed citations
17.
Regan, Donough, Marcel Schmittfull, E. P. S. Shellard, & J. Fergusson. (2012). Universal non-Gaussian initial conditions forN-body simulations. Physical review. D. Particles, fields, gravitation, and cosmology. 86(12). 21 indexed citations
18.
Regan, Donough, E. P. S. Shellard, & J. Fergusson. (2010). General CMB and primordial trispectrum estimation. Physical review. D. Particles, fields, gravitation, and cosmology. 82(2). 66 indexed citations
19.
Fergusson, J., M. Liguori, & E. P. S. Shellard. (2010). General CMB and primordial bispectrum estimation: Mode expansion, map making, and measures ofFNL. Physical review. D. Particles, fields, gravitation, and cosmology. 82(2). 92 indexed citations
20.
Fergusson, J. & E. P. S. Shellard. (2009). Shape of primordial non-Gaussianity and the CMB bispectrum. Physical review. D. Particles, fields, gravitation, and cosmology. 80(4). 130 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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