Benjamin Giblin

3.4k total citations
25 papers, 672 citations indexed

About

Benjamin Giblin is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, Benjamin Giblin has authored 25 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Astronomy and Astrophysics, 12 papers in Instrumentation and 6 papers in Nuclear and High Energy Physics. Recurrent topics in Benjamin Giblin's work include Galaxies: Formation, Evolution, Phenomena (22 papers), Cosmology and Gravitation Theories (12 papers) and Astronomy and Astrophysical Research (12 papers). Benjamin Giblin is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (22 papers), Cosmology and Gravitation Theories (12 papers) and Astronomy and Astrophysical Research (12 papers). Benjamin Giblin collaborates with scholars based in United Kingdom, Netherlands and Germany. Benjamin Giblin's co-authors include Catherine Heymans, Joachim Harnois-Déraps, H. Hildebrandt, Konrad Kuijken, Yan-Chuan Cai, Maciej Bilicki, Angus H. Wright, Arun Kannawadi, Andrej Dvornik and Marika Asgari 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

Benjamin Giblin

24 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Giblin United Kingdom 15 607 234 120 64 38 25 672
A. Rassat France 14 753 1.2× 253 1.1× 180 1.5× 61 1.0× 40 1.1× 20 818
Andrej Dvornik Netherlands 13 451 0.7× 206 0.9× 94 0.8× 52 0.8× 34 0.9× 26 510
Arun Kannawadi United States 16 752 1.2× 278 1.2× 220 1.8× 86 1.3× 40 1.1× 31 817
A. Kiessling United States 12 574 0.9× 262 1.1× 86 0.7× 84 1.3× 31 0.8× 23 616
Adrienne Leonard France 10 492 0.8× 223 1.0× 69 0.6× 86 1.3× 25 0.7× 14 519
Sukhdeep Singh United States 15 658 1.1× 328 1.4× 113 0.9× 72 1.1× 45 1.2× 32 713
S. L. Bridle United Kingdom 5 682 1.1× 246 1.1× 145 1.2× 115 1.8× 23 0.6× 6 743
Joseph DeRose United States 16 596 1.0× 251 1.1× 143 1.2× 38 0.6× 48 1.3× 27 651
J. Zuntz United Kingdom 13 742 1.2× 197 0.8× 283 2.4× 114 1.8× 36 0.9× 29 829
Cristobál Sifón United States 18 987 1.6× 495 2.1× 182 1.5× 87 1.4× 56 1.5× 45 1.0k

Countries citing papers authored by Benjamin Giblin

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Giblin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Giblin

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Giblin. A scholar is included among the top collaborators of Benjamin Giblin 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 Benjamin Giblin. Benjamin Giblin 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.
Romanello, M., et al.. (2025). AMICO galaxy clusters in KiDS-1000: Cosmological sample. Astronomy and Astrophysics. 701. A201–A201.
2.
Harnois-Déraps, Joachim, Sven Heydenreich, Benjamin Giblin, et al.. (2024). KiDS-1000 and DES-Y1 combined: cosmology from peak count statistics. Monthly Notices of the Royal Astronomical Society. 534(4). 3305–3330. 15 indexed citations
3.
Harnois-Déraps, Joachim, et al.. (2024). Constraining modified gravity with weak-lensing peaks. Monthly Notices of the Royal Astronomical Society. 533(3). 3546–3569. 7 indexed citations
4.
Vakili, Mohammadjavad, Henk Hoekstra, Maciej Bilicki, et al.. (2023). Clustering of red sequence galaxies in the fourth data release of the Kilo-Degree Survey. Astronomy and Astrophysics. 675. A202–A202. 6 indexed citations
5.
Li, Shangrong, Henk Hoekstra, Konrad Kuijken, et al.. (2023). KiDS-1000: Cosmology with improved cosmic shear measurements. Astronomy and Astrophysics. 679. A133–A133. 26 indexed citations
6.
Giblin, Benjamin, Yan-Chuan Cai, & Joachim Harnois-Déraps. (2023). Enhancing cosmic shear with the multiscale lensing probability density function. Monthly Notices of the Royal Astronomical Society. 520(2). 1721–1737. 12 indexed citations
7.
Schneider, Petra, Marika Asgari, Andrej Dvornik, et al.. (2022). Pure-mode correlation functions for cosmic shear and application to KiDS-1000. Astronomy and Astrophysics. 664. A77–A77. 2 indexed citations
8.
Arnold, Christian, Baojiu Li, Benjamin Giblin, Joachim Harnois-Déraps, & Yan-Chuan Cai. (2022). forge: the f(R)-gravity cosmic emulator project – I. Introduction and matter power spectrum emulator. Monthly Notices of the Royal Astronomical Society. 515(3). 4161–4175. 29 indexed citations
9.
Wright, Angus H., Benjamin Joachimi, Maciej Bilicki, et al.. (2021). Organised randoms: Learning and correcting for systematic galaxy clustering patterns in KiDS using self-organising maps. Springer Link (Chiba Institute of Technology). 9 indexed citations
10.
Hildebrandt, H., Jan Luca van den Busch, Angus H. Wright, et al.. (2021). KiDS-1000 catalogue: Redshift distributions and their calibration. Astronomy and Astrophysics. 647. A124–A124. 80 indexed citations
11.
Nakoneczny, Szymon J., Maciej Bilicki, A. Pollo, et al.. (2021). Photometric selection and redshifts for quasars in the Kilo-Degree Survey Data Release 4. Astronomy and Astrophysics. 649. A81–A81. 24 indexed citations
12.
Bilicki, Maciej, Andrej Dvornik, Henk Hoekstra, et al.. (2021). Bright galaxy sample in the Kilo-Degree Survey Data Release 4. Astronomy and Astrophysics. 653. A82–A82. 37 indexed citations
13.
Stölzner, Benjamin, Benjamin Joachimi, Marika Asgari, et al.. (2021). Geometry versus growth. Astronomy and Astrophysics. 655. A11–A11. 12 indexed citations
14.
Georgiou, Christos, Henk Hoekstra, Konrad Kuijken, et al.. (2021). Halo shapes constrained from a pure sample of central galaxies in KiDS-1000. Astronomy and Astrophysics. 647. A185–A185. 7 indexed citations
15.
Harnois-Déraps, Joachim, N. Martinet, T. Castro, et al.. (2021). Cosmic shear cosmology beyond two-point statistics: a combined peak count and correlation function analysis of DES-Y1. Monthly Notices of the Royal Astronomical Society. 506(2). 1623–1650. 58 indexed citations
16.
Li, Rui, N. R. Napolitano, C. Tortora, et al.. (2020). New High-quality Strong Lens Candidates with Deep Learning in the Kilo-Degree Survey. The Astrophysical Journal. 899(1). 30–30. 50 indexed citations
17.
Dvornik, Andrej, Henk Hoekstra, Konrad Kuijken, et al.. (2020). . Springer Link (Chiba Institute of Technology). 14 indexed citations
18.
Giblin, Benjamin, et al.. (2019). On the road to per cent accuracy – II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies. Monthly Notices of the Royal Astronomical Society. 490(4). 4826–4840. 39 indexed citations
19.
Georgiou, Christos, Nora Elisa Chisari, Maria Cristina Fortuna, et al.. (2019). . Springer Link (Chiba Institute of Technology). 18 indexed citations
20.
Petrillo, C. E., C. Tortora, G. Vernardos, et al.. (2019). LinKS: discovering galaxy-scale strong lenses in the Kilo-Degree Survey using convolutional neural networks. Monthly Notices of the Royal Astronomical Society. 484(3). 3879–3896. 66 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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