Guillermo de Arcas

1.2k total citations
72 papers, 798 citations indexed

About

Guillermo de Arcas is a scholar working on Biomedical Engineering, Nuclear and High Energy Physics and Computer Networks and Communications. According to data from OpenAlex, Guillermo de Arcas has authored 72 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 19 papers in Nuclear and High Energy Physics and 14 papers in Computer Networks and Communications. Recurrent topics in Guillermo de Arcas's work include Magnetic confinement fusion research (17 papers), Noise Effects and Management (12 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Guillermo de Arcas is often cited by papers focused on Magnetic confinement fusion research (17 papers), Noise Effects and Management (12 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). Guillermo de Arcas collaborates with scholars based in Spain, Italy and Portugal. Guillermo de Arcas's co-authors include C. Asensio, Ignacio Pavón, Juan Manuel López, Luis Gascó, Luis Sigcha, Pedro Arezes, Nélson Costa, Susana Costa, M. Ruíz and M. Recuero and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and The Journal of the Acoustical Society of America.

In The Last Decade

Guillermo de Arcas

63 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillermo de Arcas Spain 14 240 219 119 118 112 72 798
Juan Manuel López Spain 16 117 0.5× 262 1.2× 113 0.9× 118 1.0× 75 0.7× 81 902
Y. W. Lam United Kingdom 21 401 1.7× 729 3.3× 72 0.6× 4 0.0× 369 3.3× 76 1.1k
Athanasios Sideris United States 14 30 0.1× 137 0.6× 26 0.2× 17 0.1× 121 1.1× 41 848
Marco Tarabini Italy 16 108 0.5× 294 1.3× 36 0.3× 7 0.1× 29 0.3× 161 1.1k
Jinsheng Zhang China 17 23 0.1× 125 0.6× 133 1.1× 101 0.9× 78 1.0k
Fatih Demir Türkiye 18 29 0.1× 95 0.4× 15 0.1× 9 0.1× 113 1.0× 37 1.1k
Junjuan Zhao China 14 113 0.5× 246 1.1× 48 0.4× 1 0.0× 70 0.6× 62 662
N. Braun Germany 5 3 0.0× 96 0.4× 23 0.2× 23 0.2× 80 0.7× 14 776
Gordon Morison United Kingdom 17 51 0.2× 48 0.2× 10 0.1× 4 0.0× 72 0.6× 77 1.1k
Görkem Serbes Türkiye 16 81 0.3× 49 0.2× 19 0.2× 136 1.2× 34 0.3× 65 1.2k

Countries citing papers authored by Guillermo de Arcas

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo de Arcas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo de Arcas. 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 Guillermo de Arcas. The network helps show where Guillermo de Arcas may publish in the future.

Co-authorship network of co-authors of Guillermo de Arcas

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo de Arcas. A scholar is included among the top collaborators of Guillermo de Arcas 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 Guillermo de Arcas. Guillermo de Arcas 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.
Sigcha, Luis, Juan Manuel López, C. Asensio, et al.. (2025). Evolution of the Motor Symptoms in Parkinson Disease under Auditory Stimulation. International Journal of Neural Systems. 35(7). 2550030–2550030.
2.
Sigcha, Luis, Luigi Borzì, Gabriella Olmo, et al.. (2024). Evaluating Motor Symptoms in Parkinson’s Disease Through Wearable Sensors: A Systematic Review of Digital Biomarkers. Applied Sciences. 14(22). 10189–10189. 4 indexed citations
3.
Sigcha, Luis, Luigi Borzì, Gabriella Olmo, et al.. (2024). Evaluating Mobility in Parkinson’s Disease through Wearable Sensors: A Systematic Review of Digital Biomarkers. Preprints.org.
4.
Ramos, Milagros, et al.. (2023). Preclinical examination of early‐onset thalamic‐cortical seizures after hemispheric stroke. Epilepsia. 64(9). 2499–2514. 1 indexed citations
5.
Sigcha, Luis, Nélson Costa, Susana Costa, et al.. (2023). Monipar: movement data collection tool to monitor motor symptoms in Parkinson’s disease using smartwatches and smartphones. Frontiers in Neurology. 14. 1326640–1326640. 7 indexed citations
6.
López, Juan Manuel, et al.. (2022). Improved Estimation of End-Milling Parameters from Acoustic Emission Signals Using a Microphone Array Assisted by AI Modelling. Sensors. 22(10). 3807–3807. 5 indexed citations
7.
Asensio, C., Pierre Aumond, Arnaud Can, et al.. (2020). A Taxonomy Proposal for the Assessment of the Changes in Soundscape Resulting from the COVID-19 Lockdown. International Journal of Environmental Research and Public Health. 17(12). 4205–4205. 47 indexed citations
8.
Gascó, Luis, Rossano Schifanella, Luca Maria Aiello, et al.. (2020). Social Media and Open Data to Quantify the Effects of Noise on Health. Frontiers in Sustainable Cities. 2. 13 indexed citations
9.
Muñoz, E., et al.. (2020). Non-Invasive Estimation of Machining Parameters during End-Milling Operations Based on Acoustic Emission. Sensors. 20(18). 5326–5326. 7 indexed citations
10.
Gascó, Luis, Chloé Clavel, C. Asensio, & Guillermo de Arcas. (2018). Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise. The Science of The Total Environment. 658. 69–79. 17 indexed citations
11.
Asensio, C., Luis Gascó, & Guillermo de Arcas. (2017). A Review of Non-Acoustic Measures to Handle Community Response to Noise around Airports. Current Pollution Reports. 3(3). 230–244. 16 indexed citations
13.
Gascó, Luis, C. Asensio, & Guillermo de Arcas. (2017). Communicating airport noise emission data to the general public. The Science of The Total Environment. 586. 836–848. 26 indexed citations
14.
Sanz, D., S. Esquembri, Guillermo de Arcas, et al.. (2016). High performance image acquisition and processing architecture for fast plant system controllers based on FPGA and GPU. Fusion Engineering and Design. 112. 957–960. 6 indexed citations
15.
Arcas, Guillermo de, M. Ruíz, J. Vega, et al.. (2012). A GPU-based real time high performance computing service in a fast plant system controller prototype for ITER. Fusion Engineering and Design. 87(12). 2152–2155. 4 indexed citations
16.
Ruíz, M., et al.. (2012). A new 3D finite element model of the IEC 60318-1 artificial ear: II. Experimental and numerical validation. Metrologia. 49(6). 785–802. 1 indexed citations
17.
Arcas, Guillermo de, J. Vega, M. Ruíz, et al.. (2011). Exploiting Graphic Processing Units Parallelism to Improve Intelligent Data Acquisition System Performance in JET's Correlation Reflectometer. IEEE Transactions on Nuclear Science. 58(4). 1714–1718. 1 indexed citations
18.
González, J., M. Ruíz, E. Barrera, et al.. (2010). Service-oriented architecture of adaptive, intelligent data acquisition and processing systems for long-pulse fusion experiments. Fusion Engineering and Design. 85(3-4). 274–279. 5 indexed citations
19.
Arcas, Guillermo de, et al.. (2007). Design of an Intelligent Front-end Signal Conditioning Circuit for IR Sensors. 41. 1–7. 3 indexed citations
20.
Arcas, Guillermo de, et al.. (2006). A VIRTUAL INSTRUMENT TO EVALUATE THE UNCERTAINTY OF MEASUREMENT IN THE CALIBRATION OF SOUND CALIBRATORS. 119–129. 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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