James W. Trayford

9.6k total citations · 3 hit papers
54 papers, 4.5k citations indexed

About

James W. Trayford is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, James W. Trayford has authored 54 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Astronomy and Astrophysics, 33 papers in Instrumentation and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in James W. Trayford's work include Galaxies: Formation, Evolution, Phenomena (46 papers), Astronomy and Astrophysical Research (33 papers) and Stellar, planetary, and galactic studies (14 papers). James W. Trayford is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (46 papers), Astronomy and Astrophysical Research (33 papers) and Stellar, planetary, and galactic studies (14 papers). James W. Trayford collaborates with scholars based in United Kingdom, Netherlands and Germany. James W. Trayford's co-authors include Joop Schaye, Tom Theuns, Matthieu Schaller, R. G. Bower, Robert A. Crain, Michelle Furlong, Carlos S. Frenk, Claudio Dalla Vecchia, Ian G. McCarthy and John Helly and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

James W. Trayford

52 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations

2015 1.1k citations Robert A. Crain, Joop Schaye et al. Monthly Notices of the Royal Astronomical Society profile →
The APOSTLE simulations: solutions to the Local Group's cosmic puzzles

2016 428 citations Till Sawala, Carlos S. Frenk et al. Monthly Notices of the Royal Astronomical Society profile →
The EAGLE simulation of galaxy formation: public release of halo and galaxy catalogues

2016 403 citations Stuart McAlpine, John Helly et al. Liverpool John Moores University profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James W. Trayford United Kingdom	30	4.4k	2.4k	665	234	197	54	4.5k
Laura V. Sales United States	39	4.7k 1.1×	2.7k 1.1×	649 1.0×	202 0.9×	248 1.3×	94	4.9k
Sukyoung K. Yi South Korea	40	5.7k 1.3×	3.3k 1.3×	496 0.7×	235 1.0×	206 1.0×	142	5.9k
A. S. G. Robotham Australia	37	4.0k 0.9×	2.3k 1.0×	575 0.9×	249 1.1×	166 0.8×	153	4.1k
Benne W. Holwerda United States	36	3.8k 0.9×	2.0k 0.8×	412 0.6×	189 0.8×	169 0.9×	180	4.0k
Sarah Brough Australia	36	3.5k 0.8×	2.2k 0.9×	326 0.5×	199 0.9×	178 0.9×	151	3.7k
Christopher C. Hayward United States	47	5.6k 1.3×	2.4k 1.0×	804 1.2×	125 0.5×	187 0.9×	136	5.8k
Alfonso Aragón‐Salamanca United Kingdom	38	4.6k 1.1×	3.0k 1.2×	388 0.6×	312 1.3×	199 1.0×	147	4.8k
John Moustakas United States	38	5.7k 1.3×	2.4k 1.0×	594 0.9×	135 0.6×	169 0.9×	108	5.8k
N. R. Napolitano Italy	38	4.0k 0.9×	2.4k 1.0×	350 0.5×	190 0.8×	212 1.1×	169	4.2k
L. Cortese Australia	46	6.0k 1.4×	2.9k 1.2×	511 0.8×	148 0.6×	201 1.0×	187	6.2k

Countries citing papers authored by James W. Trayford

Since Specialization

Citations

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

Fields of papers citing papers by James W. Trayford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Trayford. 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 James W. Trayford. The network helps show where James W. Trayford may publish in the future.

Co-authorship network of co-authors of James W. Trayford

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

All Works

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20 of 20 papers shown

Chaikin, Evgenii, et al.. (2026). A hybrid active galactic nucleus feedback model with spinning black holes, winds and jets. Monthly Notices of the Royal Astronomical Society. 547(2).

Richings, Alexander J., et al.. (2026). Non-explosive pre-supernova feedback in the colibre model of galaxy formation. Monthly Notices of the Royal Astronomical Society. 546(4). 1 indexed citations

Trayford, James W., Joop Schaye, Camila A. Correa, et al.. (2025). Modelling the evolution and influence of dust in cosmological simulations that include the cold phase of the interstellar medium. Monthly Notices of the Royal Astronomical Society. 545(4). 1 indexed citations

Trayford, James W., et al.. (2025). strauss: Sonification Tools and Resources for Analysis Using Sound Synthesis. The Journal of Open Source Software. 10(109). 7875–7875.

Ploeckinger, Sylvia, Alexander J. Richings, Joop Schaye, et al.. (2025). hybrid-chimes: a model for radiative cooling and the abundances of ions and molecules in simulations of galaxy formation. Monthly Notices of the Royal Astronomical Society. 543(2). 891–916. 2 indexed citations

Trayford, James W., et al.. (2023). Inspecting spectra with sound: proof-of-concept and extension to datacubes. Newcastle University ePrints (Newcastle Univesity). 2(1). 387–392. 4 indexed citations

Neumann, Justus, D. Thomas, Claudia Maraston, et al.. (2023). iMaNGA: mock MaNGA galaxies based on IllustrisTNG and MaStar SSPs. - III. Stellar metallicity drivers in MaNGA and TNG50. Monthly Notices of the Royal Astronomical Society. 527(3). 6419–6438. 4 indexed citations

Trayford, James W. & C. M. Harrison. (2023). Introducing strauss: A Flexible Sonification Python Package. 249–256. 1 indexed citations

Graaff, Anna de, James W. Trayford, Marijn Franx, et al.. (2022). Observed structural parameters of EAGLE galaxies: reconciling the mass-size relation in simulations with local observations. arXiv (Cornell University). 43 indexed citations

10.

Lovell, Christopher C., Peter Camps, M. Baes, & James W. Trayford. (2022). First Light And Reionisation Epoch Simulations (FLARES) III: the properties of massive dusty galaxies at cosmic dawn. Sussex Research Online (University of Sussex). 25 indexed citations

11.

Camps, Peter, Ana Trčka, Andreea S. Font, et al.. (2022). High-resolution synthetic UV-submm images for Milky Way-mass simulated galaxies from the ARTEMIS project. Monthly Notices of the Royal Astronomical Society. 512(2). 2728–2749. 21 indexed citations

12.

Trčka, Ana, M. Baes, Peter Camps, et al.. (2020). Reproducing the Universe: a comparison between the EAGLE simulations and the nearby DustPedia galaxy sample. Monthly Notices of the Royal Astronomical Society. 494(2). 2823–2838. 34 indexed citations

13.

Mackenzie, Ruari, Michele Fumagalli, Tom Theuns, et al.. (2019). Linking gas and galaxies at high redshift: MUSE surveys the environments of six damped Lyα systems at z ≈ 3. Monthly Notices of the Royal Astronomical Society. 487(4). 5070–5096. 38 indexed citations

14.

Wright, Ruby J., Claudia del P. Lagos, L. J. M. Davies, et al.. (2019). Quenching time-scales of galaxies in the eagle simulations. Monthly Notices of the Royal Astronomical Society. 487(3). 3740–3758. 57 indexed citations

15.

Trayford, James W., Peter Camps, Tom Theuns, et al.. (2017). Optical colours and spectral indices of z = 0.1 eagle galaxies with the 3D dust radiative transfer code skirt. Monthly Notices of the Royal Astronomical Society. 470(1). 771–799. 150 indexed citations

16.

McAlpine, Stuart, John Helly, Matthieu Schaller, et al.. (2016). The EAGLE simulation of galaxy formation: public release of halo and galaxy catalogues. Liverpool John Moores University. 403 indexed citations breakdown →

17.

Sawala, Till, Carlos S. Frenk, Azadeh Fattahi, et al.. (2016). The APOSTLE simulations: solutions to the Local Group's cosmic puzzles. Monthly Notices of the Royal Astronomical Society. 457(2). 1931–1943. 428 indexed citations breakdown →

18.

Crain, Robert A., Joop Schaye, R. G. Bower, et al.. (2015). The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations. Monthly Notices of the Royal Astronomical Society. 450(2). 1937–1961. 1056 indexed citations breakdown →

19.

Calore, Francesca, Nassim Bozorgnia, Mark R. Lovell, et al.. (2015). Simulated Milky Way analogues: implications for dark matter indirect searches. Journal of Cosmology and Astroparticle Physics. 2015(12). 53–53. 56 indexed citations

20.

Trayford, James W., Tom Theuns, R. G. Bower, et al.. (2015). Colours and luminosities ofz = 0.1 galaxies in the eagle simulation. Monthly Notices of the Royal Astronomical Society. 452(3). 2879–2896. 199 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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