The chart shows the distribution of publications by all Research.com ranked scientists in the field of Physics in 2026. The highlighted bar marks where Cedric G. Lacey sits on this spectrum.
This scientist: 320 publications — 21st percentile
21% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,469 publications or more.
The chart shows the D-index (discipline H-index) distribution of Physics scientists ranked by Research.com in 2026. The highlighted bar marks where Cedric G. Lacey sits on this spectrum.
This scientist: 108 D-Index — 67th percentile
67% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 185 D-Index or more.
Cedric G. Lacey is affiliated with Durham University in the United Kingdom and has contributed extensively to the field of Physics and Astronomy, with a particular focus on Astronomy and Astrophysics. They have published 93 works primarily in this area, covering a range of subfields including Instrumentation, Nuclear and High Energy Physics, Artificial Intelligence, and Atomic and Molecular Physics, and Optics.
The scientist's research portfolio emphasizes several main topics of study: Galaxies: Formation, Evolution, Phenomena; Astronomy and Astrophysical Research; Gamma-ray bursts and supernovae; Astrophysical Phenomena and Observations; Astrophysics and Star Formation Studies; Astrophysics and Cosmic Phenomena; and Computational Physics and Python Applications.
Lacey's recent papers reflect ongoing engagement with topics related to cosmological simulations, galaxy formation, and astrophysical feedback mechanisms. Notable recent publications include:
Lacey has frequently published in the Monthly Notices of the Royal Astronomical Society, with 25 articles appearing there, and also in arXiv (Cornell University) with 16 publications. The researcher collaborates regularly with several co-authors, including Filip Huško, Joop Schaye, Matthieu Schaller, C. M. Baugh, and John Helly.
Their work integrates computational methods and machine learning in astrophysics, evident from studies involving hydrodynamical simulations and calibrations with novel techniques. This cross-disciplinary approach encompasses both theoretical and instrumental aspects of modern astrophysical research.
R. G. Bower;A. J. Benson;R. Malbon;J. C. Helly
R. G. Bower;A. J. Benson;R. K. Malbon;J. C. Helly
Cedric G. Lacey;Shaun Cole
Shaun Cole;Cedric G. Lacey;Cedric G. Lacey;Carlton M. Baugh;Carlos S. Frenk
A. J. Benson;R. G. Bower;C. S. Frenk;Cedric G. Lacey
C. M. Baugh;Cedric G. Lacey;C. S. Frenk;G. L. Granato
Cedric G. Lacey;Shaun Cole
Zheng Zheng;Zheng Zheng;Andreas A. Berlind;David H. Weinberg;Andrew J. Benson
Shaun Cole;Cedric G. Lacey
S. Eales;L. Dunne;D. Clements;A. Cooray
Amir Aghamousa;Jessica Aguilar;Steve Ahlen
J.. Liske;I.K.. Baldry;S.P.. Driver;S.P.. Driver;R.J.. Tuffs
Stephen Anthony Eales;L. Dunne;D. Clements;A. Cooray
C.M. Baugh;S. Cole;C.S. Frenk;Cedric G. Lacey
Amir Aghamousa;Francisco Prada;Ginevra Favole;Klaus Honscheid
K. Coppin;E.L. Chapin;A.M.J. Mortier;S.E. Scott
A. J. Benson;S. Cole;C. S. Frenk;C. M. Baugh
K. Coppin;E. L. Chapin;E. L. Chapin;A. M. J. Mortier;S. E. Scott
A. J. Benson;C. G. Lacey;C. M. Baugh;S. Cole
A. J. Benson;C. S. Frenk;C. G. Lacey;C. M. Baugh
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