James W. Trayford

9.6k citations
54 papers · 4.5k indexed · 3 hit papers · h-index 30

James W. Trayford

52 papers receiving 4.3k citations

Hit Papers

The APOSTLE simulations: solutions to the Local Group's c...42820152026201820222505007501000

Peers

James W. Trayford
Comparison fields: 5 of 60
  • Instrumentation 2.4k
  • Astronomy and Astrophysics 4.4k
  • Nuclear and High Energy Physics 665
  • Computer Vision and Pattern Recognition 234
  • Statistical and Nonlinear Physics 120
Replace Laura V. Sales with:
Laura V. Sales United States
Francesco Shankar United Kingdom
A. S. G. Robotham Australia
L. Cortese Australia
Sukyoung K. Yi South Korea
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Benne W. Holwerda United States
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside James W. Trayford, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James W. Trayford Line = papers co-authored together James W. Trayford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20261
2 20260
3 20250
4 20251
5 20252
6 20234
7 20234
8 20231
9 202310
10
First Light And Reionisation Epoch Simulations (FLARES) III: the properties of massive dusty galaxies at cosmic dawn
202225
11 202243
12 202221
13 202034
14 201938
15 201958
16 201927
17
The EAGLE simulation of galaxy formation: public release of halo and galaxy cataloguesbreakdown →
2016403
18 201636
19 2015199
20
The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variationsbreakdown →
20151056

About James W. Trayford

James W. Trayford is a scholar working on Instrumentation, Astronomy and Astrophysics and Developmental Biology, having authored 54 papers that have together received 4.5k indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (46 papers), Astronomy and Astrophysical Research (33 papers), Stellar, planetary, and galactic studies (14 papers), Astrophysics and Star Formation Studies (13 papers), Gamma-ray bursts and supernovae (5 papers), Cosmology and Gravitation Theories (4 papers), Remote Sensing in Agriculture (4 papers) and Radio Astronomy Observations and Technology (4 papers). The work is most often cited by research in Instrumentation (2.4k citations), Astronomy and Astrophysics (4.4k citations) and Nuclear and High Energy Physics (665 citations). James W. Trayford has collaborated with scholars based in United Kingdom, Netherlands and Germany. Frequent 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. Their work appears in journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

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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