O. Freitas

1.7k total citations
7 papers, 22 citations indexed

About

O. Freitas is a scholar working on Astronomy and Astrophysics, Plant Science and Analytical Chemistry. According to data from OpenAlex, O. Freitas has authored 7 papers receiving a total of 22 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 2 papers in Plant Science and 2 papers in Analytical Chemistry. Recurrent topics in O. Freitas's work include Pulsars and Gravitational Waves Research (5 papers), Gamma-ray bursts and supernovae (4 papers) and Cosmology and Gravitation Theories (2 papers). O. Freitas is often cited by papers focused on Pulsars and Gravitational Waves Research (5 papers), Gamma-ray bursts and supernovae (4 papers) and Cosmology and Gravitation Theories (2 papers). O. Freitas collaborates with scholars based in Portugal, Spain and United States. O. Freitas's co-authors include Pedro Melo‐Pinto, O. M. Bulashenko, José A. Font, A. Morais, A. Onofre, J. Calderón Bustillo, A. Torres-Forné and José D. Martín‐Guerrero and has published in prestigious journals such as Expert Systems with Applications, Physical review. D and Machine Learning Science and Technology.

In The Last Decade

O. Freitas

5 papers receiving 21 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
O. Freitas Portugal	3	9	5	5	4	3	7	22
Anfeng He China	3	4 0.4×			6 1.5×	2 0.7×	4	19
S. Demers Canada	2	5 0.6×		5 1.0×			6	15
Woosik Kang South Korea	4	9 1.0×	1 0.2×	3 0.6×			9	22
M. C. Hansen United States	3	4 0.4×		2 0.4×	2 0.5×		4	18
L. Skuljan New Zealand	3	5 0.6×	6 1.2×				4	11
Markus Kügel Germany	1	11 1.2×		2 0.4×			2	16
Y. Y. Gao China	2	3 0.3×		4 0.8×			4	10
D. Thomas United States	2	3 0.3×		2 0.4×			5	10
Stijn Van de Vondel United Kingdom	2	3 0.3×			3 0.8×		2	11

Countries citing papers authored by O. Freitas

Since Specialization

Citations

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

Fields of papers citing papers by O. Freitas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Freitas

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

All Works

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7 of 7 papers shown

1.

Freitas, O., et al.. (2025). Deep learning powered numerical relativity surrogate for binary black hole waveforms. Physical review. D. 112(4).

2.

Bulashenko, O. M., et al.. (2025). Parameter estimation of microlensed gravitational waves with conditional variational autoencoders. Physical review. D. 111(8). 3 indexed citations

3.

Freitas, O., et al.. (2024). Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. Machine Learning Science and Technology. 5(1). 15036–15036. 2 indexed citations

4.

Freitas, O., et al.. (2024). Deep-learning classification and parameter inference of rotational core-collapse supernovae. Physical review. D. 110(6). 1 indexed citations

5.

Freitas, O., et al.. (2024). Evaluating the generalization ability of deep learning models: An application on sugar content estimation from hyperspectral images of wine grape berries. Expert Systems with Applications. 250. 123891–123891. 10 indexed citations

6.

Freitas, O., et al.. (2023). Boosting the performance of SOTA convolution-based networks with dimensionality reduction: An application on hyperspectral images of wine grape berries. Intelligent Systems with Applications. 19. 200252–200252. 6 indexed citations

7.

Font, José A., et al.. (2021). Gravitational-wave parameter inference using Deep Learning. 3. 1–6.

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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