Leonardo Ferreira

6.5k total citations · 1 hit paper
38 papers, 666 citations indexed

About

Leonardo Ferreira is a scholar working on Astronomy and Astrophysics, Instrumentation and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonardo Ferreira has authored 38 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 24 papers in Instrumentation and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonardo Ferreira's work include Galaxies: Formation, Evolution, Phenomena (24 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (10 papers). Leonardo Ferreira is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (24 papers), Astronomy and Astrophysical Research (24 papers) and Gamma-ray bursts and supernovae (10 papers). Leonardo Ferreira collaborates with scholars based in United Kingdom, Canada and United States. Leonardo Ferreira's co-authors include Christopher J. Conselice, Nathan Adams, Duncan Austin, James Trussler, Joseph Caruana, Stephen M. Wilkins, A. Verma, Fabrício Ferrari, K. J. Duncan and Ignas Juodžbalis and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Leonardo Ferreira

34 papers receiving 552 citations

Hit Papers

Discovery and properties of ultra-high redshift galaxies ... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo Ferreira United Kingdom 14 583 377 65 43 32 38 666
K. Kuehn United States 9 546 0.9× 251 0.7× 64 1.0× 32 0.7× 29 0.9× 27 611
Sarah M. Sweet Australia 19 830 1.4× 446 1.2× 51 0.8× 28 0.7× 29 0.9× 60 867
Johnny P. Greco United States 16 804 1.4× 402 1.1× 89 1.4× 60 1.4× 23 0.7× 30 843
Nuria P. F. Lorente Australia 12 511 0.9× 283 0.8× 60 0.9× 43 1.0× 29 0.9× 28 558
L. Y. Aaron Yung United States 16 711 1.2× 432 1.1× 96 1.5× 44 1.0× 22 0.7× 37 751
Andrej Dvornik Netherlands 13 451 0.8× 206 0.5× 94 1.4× 52 1.2× 35 1.1× 26 510
M. Maturi Germany 15 587 1.0× 262 0.7× 122 1.9× 59 1.4× 21 0.7× 44 621
Daniel J. Farrow Germany 13 465 0.8× 246 0.7× 73 1.1× 24 0.6× 19 0.6× 36 485
E. Merlin Italy 20 1.0k 1.7× 574 1.5× 96 1.5× 68 1.6× 22 0.7× 46 1.1k
Jielai Zhang United States 13 660 1.1× 308 0.8× 119 1.8× 40 0.9× 16 0.5× 28 706

Countries citing papers authored by Leonardo Ferreira

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Ferreira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Ferreira

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo Ferreira. A scholar is included among the top collaborators of Leonardo Ferreira 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 Leonardo Ferreira. Leonardo Ferreira 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.
Ferreira, Leonardo, et al.. (2025). Galaxy evolution in the Post-Merger Regime – I. Most merger-induced in situ stellar mass growth happens post-coalescence. Monthly Notices of the Royal Astronomical Society Letters. 538(1). L31–L36. 3 indexed citations
2.
Ellison, Sara L., et al.. (2025). Interacting galaxies in the IllustrisTNG simulations – IX: Mini mergers trigger AGNs in cosmological simulations. Monthly Notices of the Royal Astronomical Society. 544(2). 1673–1687.
4.
Bamford, S. P., Christopher J. Conselice, Leonardo Ferreira, et al.. (2024). A Robust Study of High-redshift Galaxies: Unsupervised Machine Learning for Characterizing Morphology with JWST up to z ∼ 8. The Astrophysical Journal. 962(2). 164–164. 10 indexed citations
5.
Ellison, Sara L., et al.. (2024). Galaxy evolution in the post-merger regime. II – Post-merger quenching peaks within 500 Myr of coalescence. SHILAP Revista de lepidopterología. 7. 8 indexed citations
6.
Conselice, Christopher J., Leonardo Ferreira, Nathan Adams, et al.. (2024). EPOCHS Paper V. The dependence of galaxy formation on galaxy structure at z < 7 from JWST observations. Monthly Notices of the Royal Astronomical Society. 531(4). 4857–4875. 3 indexed citations
7.
Li, Qiong, Christopher J. Conselice, Nathan Adams, et al.. (2024). EPOCHS Paper – VIII. An insight into MIRI-selected galaxies in SMACS-0723 and the benefits of deep MIRI photometry in revealing AGN and the dusty universe. Monthly Notices of the Royal Astronomical Society. 531(1). 617–631. 4 indexed citations
8.
Ferreira, Leonardo, Sara L. Ellison, David R. Patton, et al.. (2024). Galaxy mergers in UNIONS – I. A simulation-driven hybrid deep learning ensemble for pure galaxy merger classification. Monthly Notices of the Royal Astronomical Society. 533(3). 2547–2569. 11 indexed citations
9.
Ferreira, Leonardo, et al.. (2024). The effect of image quality on galaxy merger identification with deep learning. Monthly Notices of the Royal Astronomical Society. 534(3). 2533–2550. 3 indexed citations
10.
Trussler, James, Nathan Adams, Christopher J. Conselice, et al.. (2023). Seeing sharper and deeper: JWST’s first glimpse of the photometric and spectroscopic properties of galaxies in the epoch of reionization. Monthly Notices of the Royal Astronomical Society. 523(3). 3423–3440. 13 indexed citations
11.
Ferreira, Leonardo, Christopher J. Conselice, Fabrício Ferrari, et al.. (2023). The JWST Hubble Sequence: The Rest-frame Optical Evolution of Galaxy Structure at 1.5 < z < 6.5. The Astrophysical Journal. 955(2). 94–94. 56 indexed citations
12.
Trussler, James, Christopher J. Conselice, Nathan Adams, et al.. (2023). On the observability and identification of Population III galaxies with JWST. Monthly Notices of the Royal Astronomical Society. 525(4). 5328–5352. 19 indexed citations
13.
Austin, Duncan, Nathan Adams, Christopher J. Conselice, et al.. (2023). A Large Population of Faint 8 < z < 16 Galaxies Found in the First JWST NIRCam Observations of the NGDEEP Survey. The Astrophysical Journal Letters. 952(1). L7–L7. 28 indexed citations
14.
Pascale, Massimo, Brenda Frye, J. M. Diego, et al.. (2022). Unscrambling the Lensed Galaxies in JWST Images behind SMACS 0723. The Astrophysical Journal Letters. 938(1). L6–L6. 26 indexed citations
15.
Chies-Santos, Ana L., et al.. (2022). Relic galaxy analogues in TNG50 simulation: the formation pathways of surviving red nuggets in a cosmological simulation. Monthly Notices of the Royal Astronomical Society. 512(1). 245–264. 13 indexed citations
16.
Conselice, Christopher J., Leonardo Ferreira, Daniel Ceverino, et al.. (2022). Emission Line Galaxies in the SHARDS Hubble Frontier Fields. II. Limits on Lyman-continuum Escape Fractions of Lensed Emission Line Galaxies at Redshifts 2 < z < 3.5. The Astrophysical Journal. 941(2). 181–181. 2 indexed citations
17.
Conselice, Christopher J., Carl J. Mundy, Leonardo Ferreira, & K. J. Duncan. (2022). A Direct Measurement of Galaxy Major and Minor Merger Rates and Stellar Mass Accretion Histories at Z < 3 Using Galaxy Pairs in the REFINE Survey. The Astrophysical Journal. 940(2). 168–168. 28 indexed citations
18.
Ferreira, Leonardo, et al.. (2021). Quantifying Non-parametric Structure of High-redshift Galaxies with Deep Learning. The Astrophysical Journal. 916(1). 4–4. 21 indexed citations
19.
Ferreira, Leonardo, et al.. (2021). Galaxy Evolution in All Five CANDELS Fields and IllustrisTNG: Morphological, Structural, and the Major Merger Evolution to z ∼ 3. The Astrophysical Journal. 919(2). 139–139. 37 indexed citations
20.
Yanagi, Tadayuki, et al.. (2008). Human well-being index (HWBI) applied to poultry production based on FUZZY logic..

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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