Pedro Lacerda

2.8k total citations · 1 hit paper
55 papers, 1.4k citations indexed

About

Pedro Lacerda is a scholar working on Astronomy and Astrophysics, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Pedro Lacerda has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Astronomy and Astrophysics, 6 papers in Mechanical Engineering and 6 papers in Materials Chemistry. Recurrent topics in Pedro Lacerda's work include Astro and Planetary Science (45 papers), Stellar, planetary, and galactic studies (29 papers) and Planetary Science and Exploration (28 papers). Pedro Lacerda is often cited by papers focused on Astro and Planetary Science (45 papers), Stellar, planetary, and galactic studies (29 papers) and Planetary Science and Exploration (28 papers). Pedro Lacerda collaborates with scholars based in United Kingdom, United States and Germany. Pedro Lacerda's co-authors include Anders Johansen, Martin Bizzarro, Mordecai‐Mark Mac Low, David Jewitt, Jürgen Blum, A. Delsanti, A. Fitzsimmons, E. Vilenius, John Stansberry and N. Peixinho and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Science Advances.

In The Last Decade

Pedro Lacerda

54 papers receiving 1.3k citations

Hit Papers

Growth of asteroids, planetary embryos, and Kuiper belt o... 2015 2026 2018 2022 2015 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Lacerda United Kingdom 20 1.3k 117 111 59 56 55 1.4k
I. Weber Germany 17 731 0.6× 130 1.1× 273 2.5× 85 1.4× 11 0.2× 86 906
Julien Stodolna France 12 358 0.3× 48 0.4× 72 0.6× 57 1.0× 32 0.6× 24 467
F. Bühler Switzerland 12 665 0.5× 101 0.9× 86 0.8× 85 1.4× 26 0.5× 25 775
Frank Molster Netherlands 12 768 0.6× 74 0.6× 113 1.0× 38 0.6× 15 0.3× 34 872
A. D. Morse United Kingdom 14 546 0.4× 64 0.5× 76 0.7× 136 2.3× 36 0.6× 53 672
Yuzuru Karouji Japan 19 885 0.7× 218 1.9× 164 1.5× 204 3.5× 14 0.3× 72 999
T. J. Fagan United States 19 829 0.6× 129 1.1× 444 4.0× 131 2.2× 65 1.2× 60 1.0k
V. Orofino Italy 15 681 0.5× 126 1.1× 123 1.1× 110 1.9× 8 0.1× 82 826
Toshifumi Mukai Japan 20 1.3k 1.0× 48 0.4× 260 2.3× 34 0.6× 16 0.3× 72 1.4k
T. H. See United States 19 783 0.6× 194 1.7× 213 1.9× 53 0.9× 29 0.5× 82 1.0k

Countries citing papers authored by Pedro Lacerda

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Lacerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Lacerda

This figure shows the co-authorship network connecting the top 25 collaborators of Pedro Lacerda. A scholar is included among the top collaborators of Pedro Lacerda 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 Pedro Lacerda. Pedro Lacerda 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.
Titze‐de‐Almeida, Ricardo, et al.. (2024). Sleep and memory complaints in long COVID: an insight into clustered psychological phenotypes. PeerJ. 12. e16669–e16669. 7 indexed citations
2.
Inno, Laura, Ivano Bertini, M. Fulle, et al.. (2024). How much earlier would LSST have discovered currently known long-period comets?. Icarus. 429. 116443–116443. 3 indexed citations
3.
Robinson, James E., Wesley C. Fraser, A. Fitzsimmons, & Pedro Lacerda. (2020). Investigating gravitational collapse of a pebble cloud to form transneptunian binaries. Springer Link (Chiba Institute of Technology). 9 indexed citations
4.
Kiss, Csaba, E. Vilenius, G. Marton, et al.. (2020). “TNOs are Cool”: A survey of the trans-Neptunian region. Astronomy and Astrophysics. 638. A23–A23. 4 indexed citations
5.
Fitzsimmons, A., Robert Jedicke, Pedro Lacerda, et al.. (2018). Extreme Asteroids in the Pan-STARRS 1 Survey. The Astronomical Journal. 156(6). 282–282. 4 indexed citations
6.
Lacerda, Pedro, et al.. (2017). Local growth of dust- and ice-mixed aggregates as cometary building blocks in the solar nebula. Astronomy and Astrophysics. 611. A18–A18. 43 indexed citations
7.
Chen, Ying-Tung, Hsing Wen Lin, Matthew J. Holman, et al.. (2016). DISCOVERY OF A NEW RETROGRADE TRANS-NEPTUNIAN OBJECT: HINT OF A COMMON ORBITAL PLANE FOR LOW SEMIMAJOR AXIS, HIGH-INCLINATION TNOs AND CENTAURS. The Astrophysical Journal Letters. 827(2). L24–L24. 35 indexed citations
8.
Lin, Hsing Wen, Ying-Tung Chen, Matthew J. Holman, et al.. (2016). THE PAN-STARRS 1 DISCOVERIES OF FIVE NEW NEPTUNE TROJANS. The Astronomical Journal. 152(5). 147–147. 8 indexed citations
9.
Gundlach, Bastian, et al.. (2016). Comet formation in collapsing pebble clouds. Astronomy and Astrophysics. 587. A128–A128. 36 indexed citations
10.
Carry, B., Christophe Dumas, F. Vachier, et al.. (2016). Near-infrared spatially resolved spectroscopy of (136108) Haumea’s multiple system. Astronomy and Astrophysics. 593. A19–A19. 7 indexed citations
11.
Johansen, Anders, Mordecai‐Mark Mac Low, Pedro Lacerda, & Martin Bizzarro. (2015). Growth of asteroids, planetary embryos, and Kuiper belt objects by chondrule accretion. Science Advances. 1(3). e1500109–e1500109. 296 indexed citations breakdown →
12.
Lacerda, Pedro, S. Fornasier, E. Lellouch, et al.. (2014). THE ALBEDO-COLOR DIVERSITY OF TRANSNEPTUNIAN OBJECTS. The Astrophysical Journal Letters. 793(1). L2–L2. 67 indexed citations
13.
Fornasier, S., E. Lellouch, Thomas Müller, et al.. (2013). TNOs are Cool: A survey of the trans-Neptunian region VIII. Combined Herschel PACS and SPIRE observations of nine bright targets at 70–500 μm. HAL (Le Centre pour la Communication Scientifique Directe). 66 indexed citations
14.
Fornasier, S., E. Lellouch, Thomas Müller, et al.. (2013). TNOs are Cool: A survey of the trans-Neptunian region. Astronomy and Astrophysics. 555. A15–A15. 85 indexed citations
15.
Peixinho, N., et al.. (2012). The bimodal colors of Centaurs and small Kuiper belt objects. Springer Link (Chiba Institute of Technology). 30 indexed citations
16.
Lacerda, Pedro. (2009). The Seasonal Activity of Main-Belt Comet 133P/Elst-Pizarro. 815. 1 indexed citations
17.
Peixinho, N., Pedro Lacerda, & D. Jewitt. (2008). Classical Kuiper Belt: Modeling the Color-Inclination Trend. 1405. 8033.
18.
Jewitt, David, Pedro Lacerda, & N. Peixinho. (2007). Comet 133P/Elst-Pizarro. HAL (Le Centre pour la Communication Scientifique Directe). 8847. 1. 2 indexed citations
19.
Rousselot, P., Jean-Marc Petit, F. Poulet, Pedro Lacerda, & J. L. Ortiz. (2003). Photometry of the Kuiper-Belt object 1999 TD$_{\sf\sl 10}$ at different phase angles. Astronomy and Astrophysics. 407(3). 1139–1147. 13 indexed citations
20.
Peixinho, N., Pedro Lacerda, J. L. Ortiz, et al.. (2001). Photometric study of Centaurs 10199 Chariklo (1997 CU$_\mathsf{26}$) and 1999 UG$_\mathsf{5}$. Astronomy and Astrophysics. 371(2). 753–759. 24 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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