Juan M. Navarro

634 total citations
26 papers, 452 citations indexed

About

Juan M. Navarro is a scholar working on Speech and Hearing, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Juan M. Navarro has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Speech and Hearing, 16 papers in Cognitive Neuroscience and 13 papers in Biomedical Engineering. Recurrent topics in Juan M. Navarro's work include Noise Effects and Management (19 papers), Hearing Loss and Rehabilitation (16 papers) and Acoustic Wave Phenomena Research (12 papers). Juan M. Navarro is often cited by papers focused on Noise Effects and Management (19 papers), Hearing Loss and Rehabilitation (16 papers) and Acoustic Wave Phenomena Research (12 papers). Juan M. Navarro collaborates with scholars based in Spain, United States and Norway. Juan M. Navarro's co-authors include José Escolano, Máximo Cobos, Jaume Segura-García, Santiago Felici-Castell, Juan J. Pérez-Solano, José J. López, Nuria Vela, Abderrazak El Aatik, Patrick C. Roche and Eoin Murray and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Juan M. Navarro

26 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juan M. Navarro Spain 13 159 128 122 103 81 26 452
J. Quartieri Italy 16 383 2.4× 223 1.7× 20 0.2× 56 0.5× 37 0.5× 65 663
Amelia Trematerra Italy 11 153 1.0× 152 1.2× 35 0.3× 65 0.6× 69 0.9× 31 452
Xuerong Cui China 13 10 0.1× 41 0.3× 37 0.3× 7 0.1× 286 3.5× 128 667
Leonardo Gabrielli Italy 11 5 0.0× 33 0.3× 190 1.6× 42 0.4× 96 1.2× 57 473
Piero Zappi Italy 12 6 0.0× 139 1.1× 26 0.2× 16 0.2× 275 3.4× 21 563
Artur Arsénio Portugal 10 5 0.0× 38 0.3× 9 0.1× 42 0.4× 76 0.9× 39 391
B. H. Sudantha Sri Lanka 10 3 0.0× 58 0.5× 8 0.1× 18 0.2× 116 1.4× 34 412
Mustafa K. Masood Singapore 11 38 0.2× 27 0.2× 10 0.1× 4 0.0× 160 2.0× 18 505
Shaharil Mad Saad Malaysia 10 11 0.1× 61 0.5× 3 0.0× 8 0.1× 74 0.9× 33 307
Chih-Yu Wen Taiwan 13 3 0.0× 82 0.6× 16 0.1× 19 0.2× 274 3.4× 64 614

Countries citing papers authored by Juan M. Navarro

Since Specialization
Citations

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

Fields of papers citing papers by Juan M. Navarro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan M. Navarro

This figure shows the co-authorship network connecting the top 25 collaborators of Juan M. Navarro. A scholar is included among the top collaborators of Juan M. Navarro 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 Juan M. Navarro. Juan M. Navarro 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.
Navarro, Juan M., et al.. (2024). Evaluation of the IoT Device for Nitrate and Nitrite Long-Term Monitoring in Wastewater Treatment Plants. IEEE Sensors Journal. 25(4). 7145–7153. 3 indexed citations
2.
Aatik, Abderrazak El, et al.. (2023). Estimation of Global Water Quality in Four Municipal Wastewater Treatment Plants over Time Based on Statistical Methods. Water. 15(8). 1520–1520. 5 indexed citations
3.
Segura-García, Jaume, et al.. (2023). Sustainable Soundscape Monitoring of Modified Psycho-Acoustic Annoyance Model with Edge Computing for 5G IoT Systems. Sustainability. 15(13). 10016–10016. 1 indexed citations
4.
5.
Segura-García, Jaume, Santiago Felici-Castell, Juan J. Pérez-Solano, et al.. (2022). Soundscape monitoring of modified psychoacoustic annoyance with Next-Generation EDGE computing and IoT. The UWS Academic Portal (University of the West of Scotland). 1–4. 1 indexed citations
6.
Navarro, Juan M., et al.. (2022). Analysis and Evaluation of Clustering Techniques Applied to Wireless Acoustics Sensor Network Data. Applied Sciences. 12(17). 8550–8550. 4 indexed citations
7.
Navarro, Juan M., et al.. (2020). Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network. Sensors. 20(3). 903–903. 14 indexed citations
8.
Vela, Nuria, et al.. (2020). On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants. Water. 12(4). 1096–1096. 93 indexed citations
9.
10.
Segura-García, Jaume, et al.. (2018). Spatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-Based Applications. Sensors. 18(3). 690–690. 16 indexed citations
11.
Navarro, Juan M., et al.. (2017). A Big Data Framework for Urban Noise Analysis and Management in Smart Cities. Acta acustica united with Acustica. 103(4). 552–560. 12 indexed citations
12.
Cobos, Máximo, et al.. (2017). A Wireless Acoustic Array System for Binaural Loudness Evaluation in Cities. IEEE Sensors Journal. 17(21). 7043–7052. 12 indexed citations
13.
Niño-Ruiz, Elías D., et al.. (2016). Performance comparison between simulated and real case scenario of RSSI-Based localization algorithms on a WSAN. IEEE Latin America Transactions. 14(1). 115–121. 3 indexed citations
14.
Cobos, Máximo, Juan J. Pérez-Solano, Santiago Felici-Castell, Jaume Segura-García, & Juan M. Navarro. (2014). Cumulative-Sum-Based Localization of Sound Events in Low-Cost Wireless Acoustic Sensor Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(12). 1792–1802. 32 indexed citations
15.
Segura-García, Jaume, Santiago Felici-Castell, Juan J. Pérez-Solano, Máximo Cobos, & Juan M. Navarro. (2014). Low-Cost Alternatives for Urban Noise Nuisance Monitoring Using Wireless Sensor Networks. IEEE Sensors Journal. 15(2). 836–844. 84 indexed citations
16.
Navarro, Juan M. & José Escolano. (2013). Simulation of building indoor acoustics using an acoustic diffusion equation model. Journal of Building Performance Simulation. 8(1). 3–14. 14 indexed citations
17.
Navarro, Juan M., José Escolano, Máximo Cobos, & José J. López. (2013). Influence of the scattering and absorption coefficients on homogeneous room simulations that use a diffusion equation model. The Journal of the Acoustical Society of America. 133(3). 1218–1221. 7 indexed citations
18.
Navarro, Juan M., José Escolano, & José J. López. (2012). Implementation and evaluation of a diffusion equation model based on finite difference schemes for sound field prediction in rooms. Applied Acoustics. 73(6-7). 659–665. 16 indexed citations
19.
Navarro, Juan M., Finn Jacobsen, José Escolano, & José J. López. (2010). A Theoretical Approach to Room Acoustic Simulations Based on a Radiative Transfer Model. Acta acustica united with Acustica. 96(6). 1078–1089. 24 indexed citations
20.
Escolano, José, Juan M. Navarro, & José J. López. (2010). On the limitation of a diffusion equation model for acoustic predictions of rooms with homogeneous dimensions. The Journal of the Acoustical Society of America. 128(4). 1586–1589. 14 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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