L. Ciesla

7.1k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

L. Ciesla is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, L. Ciesla has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Astronomy and Astrophysics, 15 papers in Instrumentation and 8 papers in Nuclear and High Energy Physics. Recurrent topics in L. Ciesla's work include Galaxies: Formation, Evolution, Phenomena (35 papers), Astrophysics and Star Formation Studies (18 papers) and Astronomy and Astrophysical Research (15 papers). L. Ciesla is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (35 papers), Astrophysics and Star Formation Studies (18 papers) and Astronomy and Astrophysical Research (15 papers). L. Ciesla collaborates with scholars based in France, United States and Chile. L. Ciesla's co-authors include M. Boquien, V. Buat, D. Burgarella, Y. Roehlly, H. Salas, Akio Inoue, D. Corre, Guang Yang, C. Schreiber and D. Elbaz 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

L. Ciesla

35 papers receiving 1.6k citations

Hit Papers

CIGALE: a python Code Inv... 2018 2026 2020 2023 2018 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
L. Ciesla 1.7k 772 248 75 64 38 1.8k
R. F. J. van der Burg 1.6k 0.9× 1.0k 1.3× 200 0.8× 69 0.9× 78 1.2× 58 1.7k
Elisabete da Cunha 2.4k 1.4× 966 1.3× 320 1.3× 82 1.1× 58 0.9× 62 2.5k
Erik Tollerud 1.9k 1.1× 939 1.2× 332 1.3× 42 0.6× 59 0.9× 83 1.9k
Stéphane Charlot 2.3k 1.3× 1.1k 1.4× 194 0.8× 82 1.1× 51 0.8× 6 2.3k
Gergö Popping 1.7k 1.0× 738 1.0× 221 0.9× 50 0.7× 38 0.6× 69 1.8k
Rosalind E. Skelton 1.6k 0.9× 1.0k 1.3× 145 0.6× 65 0.9× 53 0.8× 33 1.7k
D. Espada 1.4k 0.8× 489 0.6× 229 0.9× 64 0.9× 65 1.0× 64 1.4k
P. Popesso 1.7k 1.0× 1.0k 1.3× 222 0.9× 55 0.7× 80 1.3× 24 1.8k
Ho Seong Hwang 2.2k 1.3× 1.2k 1.6× 233 0.9× 77 1.0× 74 1.2× 114 2.3k
Aldo Rodríguez-Puebla 1.2k 0.7× 731 0.9× 161 0.6× 74 1.0× 82 1.3× 40 1.2k

Countries citing papers authored by L. Ciesla

Since Specialization
Citations

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

Fields of papers citing papers by L. Ciesla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Ciesla

This figure shows the co-authorship network connecting the top 25 collaborators of L. Ciesla. A scholar is included among the top collaborators of L. Ciesla 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 L. Ciesla. L. Ciesla 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.
Mountrichas, G., Guang Yang, V. Buat, et al.. (2023). The relation of cosmic environment and morphology with the star formation and stellar populations of AGN and non-AGN galaxies. Astronomy and Astrophysics. 675. A137–A137. 7 indexed citations
2.
Arango-Toro, Rafael C., L. Ciesla, O. Ilbert, et al.. (2023). Probing the timescale of the 1.4 GHz radio emissions as a star formation tracer. Astronomy and Astrophysics. 675. A126–A126. 6 indexed citations
3.
Épinat, B., T. Contini, Davor Krajnović, et al.. (2023). Stellar angular momentum of disk galaxies at z  ≈  0.7 in the MAGIC survey. Astronomy and Astrophysics. 677. A143–A143. 1 indexed citations
4.
Boselli, A., Matteo Fossati, Joel Roediger, et al.. (2022). A Virgo Environmental Survey Tracing Ionised Gas Emission (VESTIGE). Astronomy and Astrophysics. 669. A73–A73. 12 indexed citations
5.
Mountrichas, G., V. Buat, Guang Yang, et al.. (2021). The role of AGN and obscuration in the position of the host galaxy relative to the main sequence. Springer Link (Chiba Institute of Technology). 23 indexed citations
6.
Ciesla, L., et al.. (2021). Investigating the delay between dust radiation and star-formation in local and distant quenching galaxies. Springer Link (Chiba Institute of Technology). 10 indexed citations
7.
Buat, V., G. Mountrichas, Guang Yang, et al.. (2021). Polar dust obscuration in broad-line active galaxies from the XMM-XXL field. Astronomy and Astrophysics. 654. A93–A93. 29 indexed citations
8.
Ciesla, L., et al.. (2020). Constraining the recent star formation history of galaxies: an approximate Bayesian computation approach. Springer Link (Chiba Institute of Technology). 16 indexed citations
9.
Mountrichas, G., V. Buat, Guang Yang, et al.. (2020). X-ray flux in SED modelling: An application of X-CIGALE in the XMM-XXL field. Astronomy and Astrophysics. 646. A29–A29. 27 indexed citations
10.
Buat, V., L. Ciesla, M. Boquien, K. Małek, & D. Burgarella. (2019). Cold dust and stellar emissions in dust-rich galaxies observed with ALMA: a challenge for SED-fitting techniques. Springer Link (Chiba Institute of Technology). 53 indexed citations
11.
Elbaz, D., R. Leiton, Neil M. Nagar, et al.. (2018). . Springer Link (Chiba Institute of Technology). 95 indexed citations
12.
Andreani, P., A. Boselli, L. Ciesla, et al.. (2018). The bivariate luminosity and mass functions of the local HRS galaxy sample. Astronomy and Astrophysics. 617. A33–A33. 14 indexed citations
13.
Boquien, M., D. Burgarella, Y. Roehlly, et al.. (2018). CIGALE: a python Code Investigating GALaxy Emission. Astronomy and Astrophysics. 622. A103–A103. 646 indexed citations breakdown →
14.
Schreiber, C., D. Elbaz, M. Pannella, et al.. (2016). Observational evidence of a slow downfall of star formation efficiency in massive galaxies during the past 10 Gyr. Springer Link (Chiba Institute of Technology). 31 indexed citations
15.
Boselli, A., Y. Roehlly, Matteo Fossati, et al.. (2016). Quenching of the star formation activity in cluster galaxies. Springer Link (Chiba Institute of Technology). 66 indexed citations
16.
Wang, Tao, D. Elbaz, E. Daddi, et al.. (2016). DISCOVERY OF A GALAXY CLUSTER WITH A VIOLENTLY STARBURSTING CORE AT z = 2.506. The Astrophysical Journal. 828(1). 56–56. 108 indexed citations
17.
Pappalardo, C., L. Bizzocchi, J. Fritz, et al.. (2016). TheHerschelVirgo Cluster Survey. Astronomy and Astrophysics. 589. A11–A11. 9 indexed citations
18.
Ciesla, L., A. Boselli, D. Elbaz, et al.. (2015). The imprint of rapid star formation quenching on the spectral energy distributions of galaxies. Astronomy and Astrophysics. 585. A43–A43. 65 indexed citations
19.
Andreani, P., L. Spinoglio, A. Boselli, et al.. (2014). The bivariateK-band-submillimetre luminosity functions of the local HRS galaxy sample. Astronomy and Astrophysics. 566. A70–A70. 8 indexed citations
20.
Boquien, M., A. Boselli, V. Buat, et al.. (2013). Towards understanding the relation between the gas and the attenuation in galaxies at kpc scales. Astronomy and Astrophysics. 554. A14–A14. 20 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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