L. Alegre

2.0k total citations
9 papers, 220 citations indexed

About

L. Alegre is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Computational Mechanics. According to data from OpenAlex, L. Alegre has authored 9 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 4 papers in Nuclear and High Energy Physics and 2 papers in Computational Mechanics. Recurrent topics in L. Alegre's work include Galaxies: Formation, Evolution, Phenomena (8 papers), Astrophysics and Cosmic Phenomena (4 papers) and Radio Astronomy Observations and Technology (4 papers). L. Alegre is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (8 papers), Astrophysics and Cosmic Phenomena (4 papers) and Radio Astronomy Observations and Technology (4 papers). L. Alegre collaborates with scholars based in United Kingdom, Netherlands and United States. L. Alegre's co-authors include David Sobral, H. J. A. Röttgering, Jorryt Matthee, Behnam Darvish, Bahram Mobasher, Ana Paulino-Afonso, Sérgio M. Santos, Andra Stroe, P. N. Best and Ian Smail and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics and arXiv (Cornell University).

In The Last Decade

L. Alegre

9 papers receiving 199 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. Alegre United Kingdom	7	205	72	49	11	7	9	220
G. Bazin United States	5	226 1.1×	74 1.0×	70 1.4×	8 0.7×	7 1.0×	6	235
N. Lyskova Russia	10	244 1.2×	95 1.3×	78 1.6×	5 0.5×	8 1.1×	29	264
M. Symeonidis United Kingdom	8	265 1.3×	107 1.5×	42 0.9×	5 0.5×	8 1.1×	13	270
Genoveva Micheva Germany	10	296 1.4×	108 1.5×	38 0.8×	16 1.5×	16 2.3×	25	309
Lihwai Lin United States	3	167 0.8×	51 0.7×	49 1.0×	9 0.8×	12 1.7×	3	178
James McBride United States	6	195 1.0×	107 1.5×	52 1.1×	7 0.6×	9 1.3×	7	204
Á. Castillo-Morales Spain	10	212 1.0×	76 1.1×	39 0.8×	6 0.5×	8 1.1×	30	226
Andreas Sandberg Sweden	8	167 0.8×	49 0.7×	42 0.9×	7 0.6×	12 1.7×	11	176
T. Grav United States	4	248 1.2×	77 1.1×	39 0.8×	5 0.5×	15 2.1×	7	257
N. Gupta Australia	10	217 1.1×	81 1.1×	56 1.1×	4 0.4×	5 0.7×	19	232

Countries citing papers authored by L. Alegre

Since Specialization

Citations

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

Fields of papers citing papers by L. Alegre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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9 of 9 papers shown

Mostert, R. I. J., L. Alegre, M. J. Hardcastle, et al.. (2024). Constraining the giant radio galaxy population with machine learning and Bayesian inference. Astronomy and Astrophysics. 691. A185–A185. 14 indexed citations

Alegre, L., P. N. Best, J. Sabater, et al.. (2024). Identification of multicomponent LOFAR sources with multimodal deep learning. Monthly Notices of the Royal Astronomical Society. 532(3). 3322–3340. 2 indexed citations

Mostert, R. I. J., R. Morganti, M. Brienza, et al.. (2023). Finding AGN remnant candidates based on radio morphology with machine learning. Astronomy and Astrophysics. 674. A208–A208. 6 indexed citations

Mostert, R. I. J., K. J. Duncan, L. Alegre, et al.. (2022). Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks. Astronomy and Astrophysics. 668. A28–A28. 8 indexed citations

Alegre, L., J. Sabater, P. N. Best, et al.. (2022). . arXiv (Cornell University). 14 indexed citations

Sobral, David, Jorryt Matthee, Behnam Darvish, et al.. (2018). The nature of luminous Ly α emitters at z ∼ 2–3: maximal dust-poor starbursts and highly ionizing AGN. Monthly Notices of the Royal Astronomical Society. 477(2). 2817–2840. 59 indexed citations

Sobral, David, Jorryt Matthee, Gabriel Brammer, et al.. (2018). On the nature and physical conditions of the luminous Ly α emitter CR7 and its rest-frame UV components. Monthly Notices of the Royal Astronomical Society. 482(2). 2422–2441. 38 indexed citations

Matthee, Jorryt, David Sobral, Behnam Darvish, et al.. (2017). Spectroscopic properties of luminous Ly α emitters at z ≈ 6–7 and comparison to the Lyman-break population. Monthly Notices of the Royal Astronomical Society. 472(1). 772–787. 54 indexed citations

Stroe, Andra, David Sobral, Ana Paulino-Afonso, et al.. (2016). A large Hα survey of star formation in relaxed and merging galaxy cluster environments atz∼ 0.15–0.3. Monthly Notices of the Royal Astronomical Society. 465(3). 2916–2935. 25 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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