Maggie Lieu

1.1k total citations
15 papers, 274 citations indexed

About

Maggie Lieu is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Maggie Lieu has authored 15 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Astronomy and Astrophysics, 4 papers in Instrumentation and 4 papers in Nuclear and High Energy Physics. Recurrent topics in Maggie Lieu's work include Galaxies: Formation, Evolution, Phenomena (9 papers), Astrophysical Phenomena and Observations (5 papers) and Gamma-ray bursts and supernovae (5 papers). Maggie Lieu is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (9 papers), Astrophysical Phenomena and Observations (5 papers) and Gamma-ray bursts and supernovae (5 papers). Maggie Lieu collaborates with scholars based in United Kingdom, Spain and Italy. Maggie Lieu's co-authors include B. Altieri, M. Sereno, S. Ettori, I. Valtchanov, Jean Coupon, G. Covone, G. P. Smith, L. Izzo, L. Conversi and B. Carry and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Monthly Notices of the Royal Astronomical Society Letters and Universe.

In The Last Decade

Maggie Lieu

14 papers receiving 260 citations

Peers

Maggie Lieu

INSTR

NHEP

CVPR

É. Aubourg France

Y. Ascasíbar Netherlands

Mohammadjavad Vakili Netherlands

Xiangkun Liu China

Xiangchong Li United States

Austin Peel United States

H. Campbell United Kingdom

B. Rusholme United States

N. MacCrann United States

Minghao Yue United States

É. Aubourg France

Maggie Lieu

355 ×1.5

82 ×1.2

INSTR

92 ×1.4

NHEP

15 ×0.8

CVPR

10 ×0.6

Citations per year, relative to Maggie Lieu Maggie Lieu (= 1×) peers É. Aubourg

Countries citing papers authored by Maggie Lieu

Since Specialization

Citations

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

Fields of papers citing papers by Maggie Lieu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maggie Lieu

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

All Works

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15 of 15 papers shown

Lieu, Maggie. (2025). A Comprehensive Guide to Interpretable AI-Powered Discoveries in Astronomy. Universe. 11(6). 187–187.

Lieu, Maggie, et al.. (2024). Machine Learning methods in Astronomy. Astronomy and Computing. 47. 100830–100830. 1 indexed citations

Molaro, Margherita, Vid Iršič, James S. Bolton, et al.. (2023). Possible evidence for a large-scale enhancement in the Lyman-α forest power spectrum at redshiftz≥ 4. Monthly Notices of the Royal Astronomical Society. 521(1). 1489–1501. 7 indexed citations

Matzeu, G. A., Maggie Lieu, M. Costa, et al.. (2022). A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator – xrade. Monthly Notices of the Royal Astronomical Society. 515(4). 6172–6190. 9 indexed citations

Valtchanov, I., Maggie Lieu, E. Verdugo, et al.. (2022). Deep learning-based super-resolution and de-noising for XMM-newton images. Monthly Notices of the Royal Astronomical Society. 517(3). 4054–4069. 21 indexed citations

Parker, M. L., Maggie Lieu, & G. A. Matzeu. (2022). AGN X-ray spectroscopy with neural networks. Monthly Notices of the Royal Astronomical Society. 514(3). 4061–4068. 6 indexed citations

Lieu, Maggie, I. Valtchanov, B. Altieri, et al.. (2020). Learning to denoise astronomical images with U-nets. Monthly Notices of the Royal Astronomical Society. 503(3). 3204–3215. 36 indexed citations

Clerc, N., et al.. (2020). X-ray properties of the X-CLASS-redMaPPer galaxy cluster sample: the luminosity–temperature relation. Monthly Notices of the Royal Astronomical Society. 494(1). 161–177. 4 indexed citations

Lieu, Maggie, B. Altieri, N. Clerc, et al.. (2020). Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 496(4). 4141–4153. 3 indexed citations

10.

Sereno, M., Keiichi Umetsu, S. Ettori, et al.. (2019). XXL Survey groups and clusters in the Hyper Suprime-Cam Survey. Scaling relations between X-ray properties and weak lensing mass. Monthly Notices of the Royal Astronomical Society. 492(3). 4528–4545. 16 indexed citations

11.

Lieu, Maggie, L. Conversi, B. Altieri, & B. Carry. (2019). Detecting Solar system objects with convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 485(4). 5831–5842. 23 indexed citations

12.

Sereno, M., G. Covone, L. Izzo, et al.. (2017). PSZ2LenS. Weak lensing analysis of the Planck clusters in the CFHTLenS and in the RCSLenS. Monthly Notices of the Royal Astronomical Society. 472(2). 1946–1971. 42 indexed citations

13.

Lieu, Maggie, Will M. Farr, Michael Betancourt, et al.. (2017). Hierarchical inference of the relationship between concentration and mass in galaxy groups and clusters. Monthly Notices of the Royal Astronomical Society. 468(4). 4872–4886. 9 indexed citations

14.

Smith, G. P., P. Mazzotta, N. Okabe, et al.. (2015). LoCuSS: Testing hydrostatic equilibrium in galaxy clusters. Monthly Notices of the Royal Astronomical Society Letters. 456(1). L74–L78. 70 indexed citations

15.

Clerc, N., C. Adami, Maggie Lieu, et al.. (2014). The XMM-LSS survey: the Class 1 cluster sample over the extended 11 deg2 and its spatial distribution. Monthly Notices of the Royal Astronomical Society. 444(3). 2723–2753. 27 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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