Manuel Castro

422 total citations
19 papers, 292 citations indexed

About

Manuel Castro is a scholar working on Astronomy and Astrophysics, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Manuel Castro has authored 19 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Astronomy and Astrophysics, 5 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Manuel Castro's work include Astrophysical Phenomena and Observations (7 papers), Pulsars and Gravitational Waves Research (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). Manuel Castro is often cited by papers focused on Astrophysical Phenomena and Observations (7 papers), Pulsars and Gravitational Waves Research (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). Manuel Castro collaborates with scholars based in Brazil, Spain and United States. Manuel Castro's co-authors include Inmaculada Plaza, Raúl Igual, Carlos Medrano, Pedro Ribeiro Mendes Júnior, J. Braga, Rafael de Oliveira Werneck, F. D’Amico, Anderson Rocha, Denis José Schiozer and Alessandra Davólio and has published in prestigious journals such as PLoS ONE, The Astrophysical Journal and Scientific Reports.

In The Last Decade

Manuel Castro

18 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Castro Brazil 8 165 131 56 46 42 19 292
Enjie Ghorbel Luxembourg 10 126 0.8× 43 0.3× 81 1.4× 8 0.2× 12 0.3× 30 260
Wenchao Zhang China 8 91 0.6× 39 0.3× 18 0.3× 24 0.5× 14 0.3× 37 271
Jerry Silvious United States 10 35 0.2× 232 1.8× 31 0.6× 26 0.6× 13 0.3× 31 389
Rodolphe Vauzelle France 10 20 0.1× 63 0.5× 12 0.2× 19 0.4× 71 1.7× 49 375
Gianfranco Visentin Netherlands 9 79 0.5× 37 0.3× 12 0.2× 15 0.3× 10 0.2× 23 214
Carlos Y. Villalpando United States 10 133 0.8× 16 0.1× 12 0.2× 13 0.3× 30 0.7× 18 297
Roland Brockers United States 13 282 1.7× 10 0.1× 33 0.6× 50 1.1× 21 0.5× 37 426
Kamak Ebadi United States 6 186 1.1× 12 0.1× 20 0.4× 35 0.8× 36 0.9× 13 345
Tae Ha Park United States 8 123 0.7× 11 0.1× 26 0.5× 20 0.4× 13 0.3× 13 423

Countries citing papers authored by Manuel Castro

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Castro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Castro

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

All Works

19 of 19 papers shown
1.
Júnior, Pedro Ribeiro Mendes, Óscar Linares, Manuel Castro, et al.. (2024). Rock-type classification: A (critical) machine-learning perspective. Computers & Geosciences. 193. 105730–105730. 3 indexed citations
2.
Castro, Manuel, Pedro Ribeiro Mendes Júnior, Rafael de Oliveira Werneck, et al.. (2023). Time series causal relationships discovery through feature importance and ensemble models. Scientific Reports. 13(1). 11402–11402. 6 indexed citations
3.
Castro, Manuel, Rafael de Oliveira Werneck, Oscar Cuadros Linares, et al.. (2023). A New Hybrid Data-Driven and Model-Based Methodology for Improved Short-Term Production Forecasting. Offshore Technology Conference.
4.
Castro, Manuel, et al.. (2022). Flipped MOOCs as a Pathway towards Education 4.0. 12. 10–15. 2 indexed citations
5.
Werneck, Rafael de Oliveira, Manuel Castro, Pedro Ribeiro Mendes Júnior, et al.. (2021). Data-driven deep-learning forecasting for oil production and pressure. Journal of Petroleum Science and Engineering. 210. 109937–109937. 46 indexed citations
6.
Werneck, Rafael de Oliveira, Pedro Ribeiro Mendes Júnior, Manuel Castro, et al.. (2021). A visual analytics approach to anomaly detection in hydrocarbon reservoir time series data. Journal of Petroleum Science and Engineering. 206. 108988–108988. 13 indexed citations
7.
Belloni, Diogo, C. V. Rodrigues, M. R. Schreiber, et al.. (2021). Breaking the Degeneracy in Magnetic Cataclysmic Variable X-Ray Spectral Modeling Using X-Ray Light Curves. The Astrophysical Journal Supplement Series. 256(2). 45–45. 5 indexed citations
8.
D’Amico, F., et al.. (2020). Broadband X-ray analysis of 1E 1740.7−2942: constraints on spin, inclination, and a tentative black hole mass. Monthly Notices of the Royal Astronomical Society. 493(2). 2694–2705. 9 indexed citations
9.
Falceta-Gonçalves, D., A. Lazarian, F. Jablonski, et al.. (2020). Synchrotron Intensity and Polarization Gradients: Tools to Obtain the Magnetization Level in a Turbulent Medium. The Astrophysical Journal. 905(2). 130–130. 7 indexed citations
10.
Braga, J., et al.. (2020). LECX: a cubesat experiment to detect and localize cosmic explosions in hard X-rays. Monthly Notices of the Royal Astronomical Society. 493(4). 4852–4860. 2 indexed citations
11.
Peuteman, Joan, Dries Vanoost, Clara Pérez, et al.. (2019). BEST PRACTICES FOR ORGANIZATION AND QUALITY ASSESSMENT OF AN E-LEARNING TRAINING IN THE HIGHER EDUCATION SYSTEM. EDULEARN proceedings. 1. 1499–1508. 2 indexed citations
12.
Castro, Manuel, et al.. (2017). Tandem Swift and INTEGRAL Data to Revisit the Orbital and Superorbital Periods of 1E 1740.7–2942. The Astrophysical Journal Letters. 843(1). L10–L10. 3 indexed citations
13.
Castro, Manuel, et al.. (2016). Background and imaging simulations for the hard X-ray camera of theMIRAXmission. Monthly Notices of the Royal Astronomical Society. 459(4). 3917–3928. 3 indexed citations
14.
Medrano, Carlos, et al.. (2016). The Effect of Personalization on Smartphone-Based Fall Detectors. Sensors. 16(1). 117–117. 36 indexed citations
15.
Penacchioni, A. V., J. Braga, Manuel Castro, & F. D’Amico. (2015). Telescope performance and image simulations of the balloon-borne coded-mask protoMIRAX experiment. Journal of High Energy Astrophysics. 5-6. 22–29. 2 indexed citations
16.
Penacchioni, A. V., et al.. (2015). MIRAX sensitivity for Gamma Ray Bursts. Journal of High Energy Astrophysics. 9-10. 16–24. 2 indexed citations
17.
Castro, Manuel, et al.. (2014). Confirming the thermal Comptonization model for black hole X-ray emission in the low-hard state. Astronomy and Astrophysics. 569. A82–A82. 8 indexed citations
18.
Medrano, Carlos, Raúl Igual, Inmaculada Plaza, & Manuel Castro. (2014). Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones. PLoS ONE. 9(4). e94811–e94811. 129 indexed citations
19.
Medrano, Carlos, Raúl Igual, Inmaculada Plaza, Manuel Castro, & Habib M. Fardoun. (2014). Personalizable smartphone application for detecting falls. 169–172. 14 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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