M.G. Ruano

1.4k total citations
81 papers, 913 citations indexed

About

M.G. Ruano is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering. According to data from OpenAlex, M.G. Ruano has authored 81 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 26 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Electrical and Electronic Engineering. Recurrent topics in M.G. Ruano's work include Ultrasound Imaging and Elastography (21 papers), Smart Grid Energy Management (13 papers) and Building Energy and Comfort Optimization (11 papers). M.G. Ruano is often cited by papers focused on Ultrasound Imaging and Elastography (21 papers), Smart Grid Energy Management (13 papers) and Building Energy and Comfort Optimization (11 papers). M.G. Ruano collaborates with scholars based in Portugal, United Kingdom and Brazil. M.G. Ruano's co-authors include A.E. Ruano, J.J. Garcı́a, Álvaro Hernández, Jesús Ureña, P.J. Fish, César Teixeira, I.L.R. Gomes, Saad Dosse Bennani, Houda Harkat and Wagner Coelho de Albuquerque Pereira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Biomedical Engineering.

In The Last Decade

M.G. Ruano

72 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.G. Ruano Portugal 16 390 166 147 140 135 81 913
Fırat Hardalaç Türkiye 16 309 0.8× 62 0.4× 55 0.4× 173 1.2× 198 1.5× 79 1.1k
Rosario Morello Italy 19 444 1.1× 179 1.1× 47 0.3× 189 1.4× 71 0.5× 79 1.1k
Tomasz Rymarczyk Poland 22 1.0k 2.6× 155 0.9× 36 0.2× 381 2.7× 99 0.7× 221 1.6k
J. Solà Switzerland 12 167 0.4× 63 0.4× 39 0.3× 205 1.5× 149 1.1× 27 915
Claudio De Capua Italy 19 537 1.4× 194 1.2× 39 0.3× 189 1.4× 43 0.3× 104 1.2k
Rajesh Arya India 14 332 0.9× 103 0.6× 16 0.1× 54 0.4× 153 1.1× 43 957
Yan Shi China 22 159 0.4× 225 1.4× 37 0.3× 224 1.6× 40 0.3× 119 1.3k
Zhenhao Tang China 16 224 0.6× 216 1.3× 32 0.2× 96 0.7× 179 1.3× 63 846
Grzegorz Kłosowski Poland 17 505 1.3× 116 0.7× 38 0.3× 171 1.2× 84 0.6× 80 924
Mohammad Ataei Iran 17 499 1.3× 717 4.3× 25 0.2× 69 0.5× 108 0.8× 90 1.3k

Countries citing papers authored by M.G. Ruano

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Ruano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Ruano

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Ruano. A scholar is included among the top collaborators of M.G. Ruano 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 M.G. Ruano. M.G. Ruano 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.
Ruano, A.E. & M.G. Ruano. (2024). From home energy management systems to energy communities: methods and data. Scientific Data. 11(1). 346–346. 5 indexed citations
2.
Fadili, Hakim El, et al.. (2024). Join security and block watermarking-based evolutionary algorithm and Racah moments for medical imaging. Biomedical Signal Processing and Control. 96. 106554–106554. 3 indexed citations
3.
4.
Gomes, I.L.R., M.G. Ruano, & A.E. Ruano. (2023). From home energy management systems to communities energy managers: The use of an intelligent aggregator in a community in Algarve, Portugal. Energy and Buildings. 298. 113588–113588. 8 indexed citations
5.
Lopes, Fábio, Mauro F. Pinto, Francisco Sales, et al.. (2023). Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy. Scientific Reports. 13(1). 784–784. 9 indexed citations
6.
Pinto, Mauro F., Fábio Lopes, Anna Maria Bianchi, et al.. (2021). Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy. Scientific Reports. 11(1). 5987–5987. 21 indexed citations
7.
Ruano, A.E., et al.. (2021). Short-Term Forecasting Photovoltaic Solar Power for Home Energy Management Systems. Inventions. 6(1). 12–12. 12 indexed citations
8.
Hernández, Álvaro, A.E. Ruano, Jesús Ureña, M.G. Ruano, & J.J. Garcı́a. (2019). Applications of NILM Techniques to Energy Management and Assisted Living. IFAC-PapersOnLine. 52(11). 164–171. 20 indexed citations
9.
Ruano, A.E., Álvaro Hernández, Jesús Ureña, M.G. Ruano, & J.J. Garcı́a. (2019). NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review. Energies. 12(11). 2203–2203. 210 indexed citations
10.
Carvalho, P., et al.. (2017). Pattern discovery and similarity assessment for robust Heart Sound Segmentation. PubMed. 63. 3517–3520. 1 indexed citations
11.
Alvarenga, André Victor, César Teixeira, M.G. Ruano, & Wagner Coelho de Albuquerque Pereira. (2009). Influence of temperature variations on the entropy and correlation of the Grey-Level Co-occurrence Matrix from B-Mode images. Ultrasonics. 50(2). 290–293. 23 indexed citations
12.
Teixeira, César, et al.. (2009). On the possibility of non-invasive multilayer temperature estimation using soft-computing methods. Ultrasonics. 50(1). 32–43. 15 indexed citations
13.
Teixeira, César, M.G. Ruano, A.E. Ruano, & Wagner Coelho de Albuquerque Pereira. (2008). Neuro-genetic non-invasive temperature estimation: Intensity and spatial prediction. Artificial Intelligence in Medicine. 43(2). 127–139. 3 indexed citations
14.
Teixeira, César, M.G. Ruano, A.E. Ruano, & Wagner Coelho de Albuquerque Pereira. (2008). A Soft-Computing Methodology for Noninvasive Time-Spatial Temperature Estimation. IEEE Transactions on Biomedical Engineering. 55(2). 572–580. 22 indexed citations
15.
Teixeira, César, et al.. (2006). Non-invasive temperature prediction of in vitro therapeutic ultrasound signals using neural networks. Medical & Biological Engineering & Computing. 44(1-2). 111–116. 11 indexed citations
16.
Teixeira, César, et al.. (2004). Temperature models of a homogeneous medium under therapeutic ultrasound. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 2 indexed citations
17.
18.
Ruano, M.G., et al.. (1996). Nonstationarity broadening reduction in pulsed Doppler spectrum measurements using time-frequency estimators. IEEE Transactions on Biomedical Engineering. 43(12). 1176–1186. 45 indexed citations
19.
Ruano, M.G. & P.J. Fish. (1993). Cost/benefit criterion for selection of pulsed Doppler ultrasound spectral mean frequency and bandwidth estimators. IEEE Transactions on Biomedical Engineering. 40(12). 1338–1341. 17 indexed citations
20.
Ruano, M.G., Fabián García Nocetti, P.J. Fish, & P.J. Fleming. (1993). Alternative parallel implementations of an AR-modified covariance spectral estimator for diagnostic ultrasonic blood flow studies. Parallel Computing. 19(4). 463–476. 9 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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