Clécio R. Bom

2.9k total citations
45 papers, 417 citations indexed

About

Clécio R. Bom is a scholar working on Astronomy and Astrophysics, Mechanical Engineering and Nuclear and High Energy Physics. According to data from OpenAlex, Clécio R. Bom has authored 45 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 10 papers in Mechanical Engineering and 9 papers in Nuclear and High Energy Physics. Recurrent topics in Clécio R. Bom's work include Gamma-ray bursts and supernovae (9 papers), Pulsars and Gravitational Waves Research (8 papers) and Seismic Imaging and Inversion Techniques (7 papers). Clécio R. Bom is often cited by papers focused on Gamma-ray bursts and supernovae (9 papers), Pulsars and Gravitational Waves Research (8 papers) and Seismic Imaging and Inversion Techniques (7 papers). Clécio R. Bom collaborates with scholars based in Brazil, United States and United Kingdom. Clécio R. Bom's co-authors include Marcelo P. de Albuquerque, Márcio P. de Albuquerque, Elisângela L. Faria, Manuel Blanco Valentín, Juliana Coelho, A. Palmese, W G Hartley, Martı́n Makler, Rodrigo Nemmen and Jessé C. Costa 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

Clécio R. Bom

39 papers receiving 401 citations

Peers

Clécio R. Bom

GEOPH

Roman Vasilyev Russia

A. Ratcliffe France

Yang Luo United States

Jingyi Chen United States

Daniel R. Burns United States

Jianzhong Zhang China

Weibin Wen China

Wojciech Dębski Germany

Bruce N. Nelson United States

Roman Vasilyev Russia

Clécio R. Bom

140 ×1.1

122 ×1.0

62 ×0.5

121 ×1.1

53 ×0.6

GEOPH

Citations per year, relative to Clécio R. Bom Clécio R. Bom (= 1×) peers Roman Vasilyev

Countries citing papers authored by Clécio R. Bom

Since Specialization

Citations

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

Fields of papers citing papers by Clécio R. Bom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clécio R. Bom. 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 Clécio R. Bom. The network helps show where Clécio R. Bom may publish in the future.

Co-authorship network of co-authors of Clécio R. Bom

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

All Works

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20 of 20 papers shown

Faria, Elisângela L., Juliana Coelho, J.L. González, et al.. (2025). Automatic classification of Carbonatic thin sections by computer vision techniques and one-vs-all models. SHILAP Revista de lepidopterología. 6(1). 100117–100117.

Nemmen, Rodrigo, et al.. (2025). Optical and UV flares from binary black hole mergers in active galactic nuclei. Physical review. D. 111(8). 3 indexed citations

Bom, Clécio R., et al.. (2024). A dark standard siren measurement of the Hubble constant following LIGO/Virgo/KAGRA O4a and previous runs. Monthly Notices of the Royal Astronomical Society. 535(1). 961–975. 7 indexed citations

Li, Ting S., Andrew B. Pace, Joshua D. Simon, et al.. (2024). Reading between the (Spectral) Lines: Magellan/IMACS Spectroscopy of the Ultrafaint Dwarf Galaxies Eridanus IV and Centaurus I. The Astrophysical Journal. 961(2). 234–234. 3 indexed citations

Bom, Clécio R., L. Santana-Silva, Jianfeng Wu, et al.. (2024). Photometric redshifts probability density estimation from recurrent neural networks in the DECam local volume exploration survey data release 2. Astronomy and Computing. 49. 100886–100886. 1 indexed citations

Bom, Clécio R., Andrés Santos, Marco Leoni, et al.. (2024). Transient classifiers for Fink. Astronomy and Astrophysics. 692. A208–A208. 4 indexed citations

Bom, Clécio R., et al.. (2024). Kilonova Spectral Inverse Modelling with Simulation-based Inference: An Amortized Neural Posterior Estimation Analysis. The Astrophysical Journal. 971(1). 82–82. 1 indexed citations

Bom, Clécio R. & A. Palmese. (2024). Standard siren cosmology with gravitational waves from binary black hole mergers in active galactic nuclei. Physical review. D. 110(8). 5 indexed citations

Bom, Clécio R., A. Palmese, L. Santana-Silva, et al.. (2024). A dark siren measurement of the Hubble constant using gravitational wave events from the first three LIGO/Virgo observing runs and DELVE. Monthly Notices of the Royal Astronomical Society. 528(2). 3249–3259. 22 indexed citations

10.

Bom, Clécio R., et al.. (2023). Optical emission model for Binary Black Hole merger remnants travelling through discs of Active Galactic Nuclei. Monthly Notices of the Royal Astronomical Society. 527(3). 6076–6089. 14 indexed citations

11.

Palmese, A., et al.. (2023). A Standard Siren Measurement of the Hubble Constant Using Gravitational-wave Events from the First Three LIGO/Virgo Observing Runs and the DESI Legacy Survey. The Astrophysical Journal. 943(1). 56–56. 45 indexed citations

12.

Bom, Clécio R., Manuel Blanco Valentín, Cristina Furlanetto, et al.. (2022). Developing a victorious strategy to the second strong gravitational lensing data challenge. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6 indexed citations

13.

Morgan, R., K. Bechtol, Clécio R. Bom, et al.. (2022). Expediting DECam Multimessenger Counterpart Searches with Convolutional Neural Networks. The Astrophysical Journal. 925(1). 44–44. 1 indexed citations

14.

Faria, Elisângela L., Juliana Coelho, J.L. González, et al.. (2022). Deep learning strategy for salt model building. Geophysics. 87(6). IM221–IM233. 4 indexed citations

15.

Costa, Jessé C., et al.. (2022). Complete identification of complex salt geometries from inaccurate migrated subsurface offset gathers using deep learning. Geophysics. 87(6). R453–R463. 9 indexed citations

16.

Cypriano, E. S., Anthony H. Gonzalez, C. Mendes de Oliveira, et al.. (2022). S-PLUS DR1 galaxy clusters and groups catalogue using PzWav. Monthly Notices of the Royal Astronomical Society. 519(2). 2630–2645. 9 indexed citations

17.

Bom, Clécio R., A. Cortesi, C. Mendes de Oliveira, et al.. (2021). Deep Learning assessment of galaxy morphology in S-PLUS Data Release 1. Monthly Notices of the Royal Astronomical Society. 507(2). 1937–1955. 5 indexed citations

18.

Bom, Clécio R., et al.. (2016). A neural network gravitational arc finder based on the Mediatrix filamentation method. Astronomy and Astrophysics. 597. A135–A135. 23 indexed citations

19.

Valentín, Manuel Blanco, et al.. (2016). Texture Classification based on Spectral Analysis and Haralick Features. 6(1). 28–51. 4 indexed citations

20.

Makler, Martı́n, Cristina Furlanetto, B. X. Santiago, et al.. (2013). The SOAR Gravitational Arc Survey. Scientific Electronic Library Online (São Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Científico e Tecnológico). 44. 180–181.

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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