Arnau Pujol

2.4k total citations
10 papers, 92 citations indexed

About

Arnau Pujol is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Arnau Pujol has authored 10 papers receiving a total of 92 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Astronomy and Astrophysics, 5 papers in Instrumentation and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Arnau Pujol's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Advanced Vision and Imaging (3 papers). Arnau Pujol is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astronomy and Astrophysical Research (4 papers) and Advanced Vision and Imaging (3 papers). Arnau Pujol collaborates with scholars based in Spain, Switzerland and United Kingdom. Arnau Pujol's co-authors include E. Gaztañaga, Kai Hoffmann, M. Kilbinger, J. Bobin, F. Sureau, F. R. Pearce, Peter Behroozi, Michael J. Hudson, C. Giocoli and A. Amara and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and Malaria Journal.

In The Last Decade

Arnau Pujol

9 papers receiving 90 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnau Pujol Spain	6	88	46	18	12	11	10	92
Elizabeth Johana Gonzalez Argentina	6	74 0.8×	35 0.8×	11 0.6×	6 0.5×	12 1.1×	14	77
B. Gillis United Kingdom	4	138 1.6×	77 1.7×	15 0.8×	6 0.5×	23 2.1×	8	141
R. L. C. Ogando Brazil	6	99 1.1×	61 1.3×	11 0.6×	9 0.8×	9 0.8×	9	104
N. K. Agius Australia	2	141 1.6×	90 2.0×	13 0.7×	8 0.7×	10 0.9×	2	145
Kelly Blumenthal United States	3	140 1.6×	66 1.4×	5 0.3×	10 0.8×	10 0.9×	3	154
Connor Stone Canada	7	93 1.1×	48 1.0×	6 0.3×	9 0.8×	11 1.0×	14	104
A. V. Smith Castelli Argentina	10	223 2.5×	118 2.6×	12 0.7×	18 1.5×	9 0.8×	23	229
Claudio Bruderer Switzerland	3	91 1.0×	47 1.0×	11 0.6×	6 0.5×	6 0.5×	4	103
Katsuhiro L. Murata Japan	7	184 2.1×	64 1.4×	11 0.6×	11 0.9×	6 0.5×	15	191
Rosalía López Fernández Spain	7	209 2.4×	113 2.5×	22 1.2×	10 0.8×	10 0.9×	12	221

Countries citing papers authored by Arnau Pujol

Since Specialization

Citations

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

Fields of papers citing papers by Arnau Pujol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnau Pujol

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

All Works

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10 of 10 papers shown

1.

Cisteró, Pau, Eduard Rovira-Vallbona, Andrés Aranda-Díaz, et al.. (2024). Molecular surveillance of Plasmodium falciparum histidine-rich protein 2/3 gene deletions in Mozambique, 2023. Malaria Journal. 23(1). 402–402.

2.

Farrens, S., M. Kilbinger, T.I Liaudat, et al.. (2022). ShapePipe: A modular weak-lensing processing and analysis pipeline. Astronomy and Astrophysics. 664. A141–A141. 5 indexed citations

3.

Kilbinger, M., S. Farrens, Austin Peel, et al.. (2022). ShapePipe: A new shape measurement pipeline and weak-lensing application to UNIONS/CFIS data. Astronomy and Astrophysics. 666. A162–A162. 11 indexed citations

4.

Pujol, Arnau, F. Sureau, J. Bobin, et al.. (2020). Shear measurement bias. Astronomy and Astrophysics. 641. A164–A164. 3 indexed citations

5.

Pujol, Arnau, et al.. (2020). Shear measurement bias. Astronomy and Astrophysics. 643. A158–A158. 5 indexed citations

6.

Pujol, Arnau, et al.. (2017). What determines large scale galaxy clustering: halo mass or local density?. Springer Link (Chiba Institute of Technology). 25 indexed citations

7.

Pujol, Arnau, C. Chang, E. Gaztañaga, et al.. (2016). A new method to measure galaxy bias by combining the density and weak lensing fields. Monthly Notices of the Royal Astronomical Society. 462(1). 35–47. 7 indexed citations

8.

Pujol, Arnau & E. Gaztañaga. (2016). The effects of assembly bias on galaxy clustering predictions. 92–92. 1 indexed citations

9.

Pujol, Arnau, E. Gaztañaga, C. Giocoli, et al.. (2014). Subhaloes gone Notts: the clustering properties of subhaloes. Monthly Notices of the Royal Astronomical Society. 438(4). 3205–3221. 14 indexed citations

10.

Pujol, Arnau & E. Gaztañaga. (2014). Are the halo occupation predictions consistent with large-scale galaxy clustering?. Monthly Notices of the Royal Astronomical Society. 442(3). 1930–1941. 21 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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