N. F. Castro

108.3k total citations
38 papers, 460 citations indexed

About

N. F. Castro is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, N. F. Castro has authored 38 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Nuclear and High Energy Physics, 5 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in N. F. Castro's work include Particle physics theoretical and experimental studies (17 papers), High-Energy Particle Collisions Research (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). N. F. Castro is often cited by papers focused on Particle physics theoretical and experimental studies (17 papers), High-Energy Particle Collisions Research (8 papers) and Quantum Chromodynamics and Particle Interactions (8 papers). N. F. Castro collaborates with scholars based in Portugal, Brazil and Spain. N. F. Castro's co-authors include Paulo J. Azevedo, A. Onofre, J. A. Aguilar–Saavedra, F. Veloso, J. Carvalho, R. Pedro, Fernando José Gomes Landgraf, Marcos Flávio de Campos, Taeko Yonamine and J. P. Araque and has published in prestigious journals such as Construction and Building Materials, Computer Physics Communications and Journal of High Energy Physics.

In The Last Decade

N. F. Castro

34 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. F. Castro Portugal	13	279	84	72	61	50	38	460
Hee-Jung Lee South Korea	13	239 0.9×	30 0.4×	32 0.4×	6 0.1×	4 0.1×	66	464
André P. Vieira Brazil	12	11 0.0×	34 0.4×	22 0.3×	45 0.7×	48 1.0×	41	401
Juan Pavez Chile	7	187 0.7×	118 1.4×	3 0.0×	2 0.0×	14 0.3×	14	314
R. Delogu Italy	10	112 0.4×	30 0.4×	7 0.1×	3 0.0×	4 0.1×	31	185
Andrzej Dudek United States	12	133 0.5×	14 0.2×	6 0.1×	2 0.0×	10 0.2×	74	467
A. Portas Spain	10	156 0.6×	36 0.4×	26 0.4×			40	262
G. Pautasso Germany	10	201 0.7×	63 0.8×	29 0.4×	1 0.0×	2 0.0×	17	256
B. Mele Italy	21	1.4k 4.9×	42 0.5×	5 0.1×	2 0.0×	8 0.2×	56	1.5k
Jakub Svoboda Czechia	6	29 0.1×	63 0.8×	58 0.8×	2 0.0×	7 0.1×	23	192
William Lewis United States	9	55 0.2×	10 0.1×	3 0.0×	4 0.1×	9 0.2×	29	203

Countries citing papers authored by N. F. Castro

Since Specialization

Citations

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

Fields of papers citing papers by N. F. Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. F. Castro

This figure shows the co-authorship network connecting the top 25 collaborators of N. F. Castro. A scholar is included among the top collaborators of N. F. 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 N. F. Castro. N. F. Castro 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

Castro, N. F., et al.. (2025). Exploring scotogenic parameter spaces and mapping uncharted dark matter phenomenology with multi-objective search algorithms. Journal of High Energy Physics. 2025(10).

Castro, N. F., et al.. (2024). Existential Therapy within Palliative Care: Searching for Meaning. European Psychiatry. 67(S1). S52–S52.

Castro, N. F., et al.. (2023). Berry: A code for the differentiation of Bloch wavefunctions from DFT calculations. Computer Physics Communications. 295. 108972–108972. 1 indexed citations

Azevedo, Ana, et al.. (2023). Strategies to enhance the resistance of ETICS finishing coats to microbiological growth: A systematic study based on small- and large-scale laboratory tests. Construction and Building Materials. 407. 133499–133499. 1 indexed citations

Castro, N. F., et al.. (2023). Fitting a collider in a quantum computer: tackling the challenges of quantum machine learning for big datasets. Frontiers in Artificial Intelligence. 6. 8 indexed citations

Castro, N. F., et al.. (2023). Exploring parameter spaces with artificial intelligence and machine learning black-box optimization algorithms. Physical review. D. 107(3). 10 indexed citations

Castro, N. F., et al.. (2021). Finding new physics without learning about it: anomaly detection as a tool for searches at colliders. RepositóriUM (Universidade do Minho). 40 indexed citations

Roy, A., N. Nikiforou, N. F. Castro, & T. Andeen. (2020). Novel interpretation strategy for searches of singly produced vectorlike quarks at the LHC. Physical review. D. 101(11). 12 indexed citations

Araque, J. P., N. F. Castro, & José Santiago. (2015). Interpretation of vector-like quark searches: heavy gluons in composite Higgs models. Journal of High Energy Physics. 2015(11). 19 indexed citations

10.

Castro, N. F., et al.. (2014). Studying theWtbvertex structure using recent LHC results. Physical review. D. Particles, fields, gravitation, and cosmology. 90(11). 16 indexed citations

11.

Coelho, António, et al.. (2014). The Fifth Empire: The reinterpretation of Portuguese and European history in an action adventure game. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–6. 1 indexed citations

12.

Castro, N. F. & Paulo J. Azevedo. (2012). Significant motifs in time series. Statistical Analysis and Data Mining The ASA Data Science Journal. 5(1). 35–53. 16 indexed citations

13.

Aguilar–Saavedra, J. A., N. F. Castro, & A. Onofre. (2011). Constraints on theWtbvertex from early LHC data. Physical review. D. Particles, fields, gravitation, and cosmology. 83(11). 26 indexed citations

14.

Aguilar–Saavedra, J. A., N. F. Castro, & A. Onofre. (2011). Publisher’s Note: Constraints on theWtbvertex from early LHC data [Phys. Rev. D83, 117301 (2011)]. Physical review. D. Particles, fields, gravitation, and cosmology. 84(1). 2 indexed citations

15.

Castro, N. F. & Paulo J. Azevedo. (2010). Multiresolution Motif Discovery in Time Series. 665–676. 51 indexed citations

16.

Valente, M., et al.. (2010). Characterisation of a megavoltage linear accelerator Bremsstrahlung by means of Monte Carlo simulations. X-Ray Spectrometry. 39(6). 384–390. 4 indexed citations

17.

Castro, N. F., et al.. (2008). Magnetic properties of 6.5% silicon content non-oriented electrical steel under sine and PWM excitation. Journal of Magnetism and Magnetic Materials. 320(14). e385–e388. 12 indexed citations

18.

Yonamine, Taeko, et al.. (2008). Silicon Steel Wire With Low Magnetic Losses. IEEE Transactions on Magnetics. 44(11). 3954–3957. 1 indexed citations

19.

Landgraf, Fernando José Gomes, et al.. (2007). INCUBAÇÃO DA RECRISTALIZAÇÃO EM CHAPAS DE AÇO SUBMETIDAS A PEQUENAS DEFORMAÇÕES. ABM Proceedings. 3435–3448. 1 indexed citations

20.

Castro, N. F., Marcos Flávio de Campos, & Fernando José Gomes Landgraf. (2006). Effect of deformation and annealing on the microstructure and magnetic properties of grain-oriented electrical steels. Journal of Magnetism and Magnetic Materials. 304(2). e617–e619. 12 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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