Fernando M. Janeiro

784 total citations
63 papers, 597 citations indexed

About

Fernando M. Janeiro is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Artificial Intelligence. According to data from OpenAlex, Fernando M. Janeiro has authored 63 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 12 papers in Electronic, Optical and Magnetic Materials and 11 papers in Artificial Intelligence. Recurrent topics in Fernando M. Janeiro's work include Advanced Electrical Measurement Techniques (20 papers), Power Quality and Harmonics (15 papers) and Magnetic Properties and Applications (11 papers). Fernando M. Janeiro is often cited by papers focused on Advanced Electrical Measurement Techniques (20 papers), Power Quality and Harmonics (15 papers) and Magnetic Properties and Applications (11 papers). Fernando M. Janeiro collaborates with scholars based in Portugal, Morocco and Spain. Fernando M. Janeiro's co-authors include Pedro M. Ramos, Tomáš Radil, A. Cruz Serra, Luís S. Rosado, M.S. Piedade, Mouhaydine Tlemçani, J.V. Araújo dos Santos, Frank Wagner, Pedro Silva Girão and Abdеlowahеd Hajjaji and has published in prestigious journals such as Journal of the Optical Society of America B, Energies and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Fernando M. Janeiro

60 papers receiving 567 citations

Peers

Fernando M. Janeiro
Rui Zhou China
Changbao Xu China
Roberto Ferrero Italy
Young-Jin Kang South Korea
Bernhard Brandstätter Austria
Jia Zeng China
Qiubo Ye China
Rui Zhou China
Fernando M. Janeiro
Citations per year, relative to Fernando M. Janeiro Fernando M. Janeiro (= 1×) peers Rui Zhou

Countries citing papers authored by Fernando M. Janeiro

Since Specialization
Citations

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

Fields of papers citing papers by Fernando M. Janeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando M. Janeiro. 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 Fernando M. Janeiro. The network helps show where Fernando M. Janeiro may publish in the future.

Co-authorship network of co-authors of Fernando M. Janeiro

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando M. Janeiro. A scholar is included among the top collaborators of Fernando M. Janeiro 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 Fernando M. Janeiro. Fernando M. Janeiro 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.
Tlemçani, Mouhaydine, et al.. (2025). Characterization, Performance, and Efficiency Analysis of Hybrid Photovoltaic Thermal (PVT) Systems. Energies. 18(5). 1050–1050. 2 indexed citations
2.
Janeiro, Fernando M., et al.. (2025). Artificial Intelligence for Fault Detection in Photovoltaic Panels. Repositorio Universidade de Évora (Universidade de Évora). 1–6.
3.
Janeiro, Fernando M. & Pedro M. Ramos. (2024). Sinewave frequency estimation based on fractional Interpolated Discrete Fourier Transform. Measurement Sensors. 38. 101441–101441.
4.
Bouich, Amal, et al.. (2023). The Impact of Dust Deposition on PV Panels’ Efficiency and Mitigation Solutions: Review Article. Energies. 16(24). 8022–8022. 22 indexed citations
5.
Afonso, D., et al.. (2023). Measurement Interval Effect on Photovoltaic Parameters Estimation. Energies. 16(18). 6460–6460. 1 indexed citations
6.
Angelis, Alessio De, et al.. (2023). Battery Impedance Spectroscopy Embedded Measurement System. Batteries. 9(12). 577–577. 3 indexed citations
7.
Tlemçani, Mouhaydine, et al.. (2022). Recent Development on Photovoltaic Parameters Estimation: Total Least Squares Approach and Metaheuristic Algorithms. Energy Sources Part A Recovery Utilization and Environmental Effects. 44(2). 4546–4564. 5 indexed citations
8.
Tlemçani, Mouhaydine, et al.. (2021). Sensitivity analysis of a new approach to photovoltaic parameters extraction based on the total least squares method. Metrology and Measurement Systems. 751–765. 8 indexed citations
9.
Janeiro, Fernando M. & Pedro M. Ramos. (2018). Threshold estimation for least-squares fitting in impedance spectroscopy. Measurement. 124. 479–485. 4 indexed citations
10.
Ramos, Pedro M., et al.. (2018). Comparison of harmonic estimation methods for power quality assessment. Journal of Physics Conference Series. 1065. 52036–52036. 2 indexed citations
11.
Radil, Tomáš, Fernando M. Janeiro, & Pedro M. Ramos. (2017). Development of a single-phase DSP based power quality analyzer using new signal processing algorithms for detection and classification. Renewable Energy and Power Quality Journal. 5(1). 1 indexed citations
12.
Ramos, Pedro M., Fernando M. Janeiro, & Pedro Silva Girão. (2015). Evaluation of the uncertainty of electrical impedance measurements: the GUM and its Supplement 2. Journal of Physics Conference Series. 588. 12045–12045. 1 indexed citations
13.
Ramos, Pedro M., Fernando M. Janeiro, & Pedro Silva Girão. (2015). Uncertainty evaluation of multivariate quantities: A case study on electrical impedance. Measurement. 78. 397–411. 13 indexed citations
14.
Ríos-Santos, JV, Fernando M. Janeiro, & Pedro M. Ramos. (2014). Embedded viscosity measurement system using a vibrating-wire sensor. 824–828. 1 indexed citations
15.
Janeiro, Fernando M., J.V. Araújo dos Santos, & Pedro M. Ramos. (2012). Gene Expression Programming in Sensor Characterization: Numerical Results and Experimental Validation. IEEE Transactions on Instrumentation and Measurement. 62(5). 1373–1381. 17 indexed citations
16.
Rosado, Luís S., Fernando M. Janeiro, Pedro M. Ramos, & M.S. Piedade. (2012). Eddy currents testing defect characterization based on non-linear regressions and artificial neural networks. 2419–2424. 7 indexed citations
17.
Janeiro, Fernando M. & Pedro M. Ramos. (2012). Gene expression programming and genetic algorithms in impedance circuit identification. ACTA IMEKO. 1(1). 19–19. 8 indexed citations
18.
Radil, T, Pedro M. Ramos, Fernando M. Janeiro, & A. Cruz Serra. (2007). DSP BASED POWER QUALITY ANALYZER FOR DETECTION AND CLASSIFICATION OF DISTURBANCES IN A SINGLE-PHASE POWER SYSTEM. Metrology and Measurement Systems. 14. 483–494. 10 indexed citations
19.
Ramos, Pedro M. & Fernando M. Janeiro. (2007). Implementation of DSP based Algorithms for Impedance Measurements. 816–819. 6 indexed citations
20.
Janeiro, Fernando M., Pedro M. Ramos, & Carlos R. Paiva. (1999). Hamiltonian formulation for dispersion-managed WDM soliton communication systems. Microwave and Optical Technology Letters. 21(1). 72–77. 1 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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