Nicolas Totaro

665 total citations
42 papers, 383 citations indexed

About

Nicolas Totaro is a scholar working on Biomedical Engineering, Civil and Structural Engineering and Automotive Engineering. According to data from OpenAlex, Nicolas Totaro has authored 42 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 20 papers in Civil and Structural Engineering and 10 papers in Automotive Engineering. Recurrent topics in Nicolas Totaro's work include Acoustic Wave Phenomena Research (29 papers), Structural Health Monitoring Techniques (18 papers) and Vehicle Noise and Vibration Control (9 papers). Nicolas Totaro is often cited by papers focused on Acoustic Wave Phenomena Research (29 papers), Structural Health Monitoring Techniques (18 papers) and Vehicle Noise and Vibration Control (9 papers). Nicolas Totaro collaborates with scholars based in France, Italy and Germany. Nicolas Totaro's co-authors include J.L. Guyader, Laurent Maxit, J. Guyader, Mathieu Aucejo, Quentin Leclère, Charles Pézerat, Hartmut Janocha, David Naso, Kerem Ege and Alain Le Bot and has published in prestigious journals such as The Journal of the Acoustical Society of America, Journal of Sound and Vibration and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Nicolas Totaro

39 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Totaro France 12 298 172 122 79 71 42 383
Bernard Troclet France 14 315 1.1× 170 1.0× 103 0.8× 49 0.6× 204 2.9× 36 440
Herwig Peters Australia 12 290 1.0× 103 0.6× 106 0.9× 32 0.4× 160 2.3× 22 385
Benoît Nennig France 13 495 1.7× 98 0.6× 217 1.8× 42 0.5× 148 2.1× 31 600
Shande Li China 14 221 0.7× 164 1.0× 64 0.5× 26 0.3× 209 2.9× 34 461
Jacques Cuenca Belgium 11 365 1.2× 109 0.6× 139 1.1× 36 0.5× 93 1.3× 42 454
Benoît Petitjean France 10 137 0.5× 180 1.0× 208 1.7× 28 0.4× 60 0.8× 25 396
Shung H. Sung United States 10 283 0.9× 236 1.4× 63 0.5× 166 2.1× 102 1.4× 33 503
Benjamin Soenarko United States 7 294 1.0× 70 0.4× 121 1.0× 54 0.7× 199 2.8× 15 443
Haijun Wu China 14 252 0.8× 84 0.5× 135 1.1× 40 0.5× 192 2.7× 45 504
Micah R. Shepherd United States 11 225 0.8× 85 0.5× 133 1.1× 16 0.2× 48 0.7× 50 342

Countries citing papers authored by Nicolas Totaro

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Totaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Totaro. 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 Nicolas Totaro. The network helps show where Nicolas Totaro may publish in the future.

Co-authorship network of co-authors of Nicolas Totaro

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Totaro. A scholar is included among the top collaborators of Nicolas Totaro 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 Nicolas Totaro. Nicolas Totaro 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.
Totaro, Nicolas, et al.. (2023). Power exchanged between subsystems with non-diffuse fields in statistical energy analysis. The Journal of the Acoustical Society of America. 153(5). 3036–3036.
2.
Totaro, Nicolas, et al.. (2023). A perceptual evaluation of numerical errors in acoustic FEM simulation for sound quality applications. Applied Acoustics. 207. 109295–109295. 1 indexed citations
3.
Jaouen, Luc, et al.. (2021). Preliminary rolling noise measurements toward the design of a standard rolling noise device. Building Acoustics. 29(1). 3–25. 1 indexed citations
4.
Antoni, Jérôme, et al.. (2021). Prediction and analysis of excitation sources of car booming noise through a Bayesian meta-model. Journal of Sound and Vibration. 510. 116228–116228.
5.
Totaro, Nicolas & J.L. Guyader. (2021). Confidence intervals of energies predicted by MODal ENergy Analysis method. Journal of Sound and Vibration. 509. 116229–116229. 1 indexed citations
6.
Chevillotte, Fabien, et al.. (2021). Development of a prediction model for indoor rolling noise. Journal of Sound and Vibration. 507. 116199–116199. 1 indexed citations
7.
Chevillotte, Fabien, et al.. (2020). Polynomial relations for cylindrical wheel stiffness characterization for use in a rolling noise prediction model. Acta Acustica. 4(2). 4–4. 1 indexed citations
8.
Totaro, Nicolas, et al.. (2019). Characterization of surface impedance of vibro-acoustic subdomains with experimental measurements. Journal of Sound and Vibration. 460. 114876–114876. 5 indexed citations
9.
Totaro, Nicolas, et al.. (2018). Ergodic billiard and statistical energy analysis. Wave Motion. 87. 166–178. 6 indexed citations
10.
Totaro, Nicolas. (2018). Selective structural source identification. Journal of Sound and Vibration. 420. 114–128. 1 indexed citations
11.
Ege, Kerem, et al.. (2018). Spatial Patterning of the Viscoelastic Core Layer of a Hybrid Sandwich Composite Material to Trigger Its Vibro-Acoustic Performances. SAE technical papers on CD-ROM/SAE technical paper series. 1. 4 indexed citations
12.
Totaro, Nicolas, et al.. (2017). Coupling strength assumption in statistical energy analysis. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 473(2200). 20160927–20160927. 7 indexed citations
13.
Totaro, Nicolas, et al.. (2014). Inverse Patch Transfer Functions Method as a Tool for Source Field Identification. Journal of vibration and acoustics. 137(2). 10 indexed citations
14.
Totaro, Nicolas, et al.. (2013). Review of statistical energy analysis hypotheses in vibroacoustics. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 470(2162). 41 indexed citations
15.
Maxit, Laurent, Kerem Ege, Nicolas Totaro, & J. Guyader. (2013). Non resonant transmission modelling with statistical modal energy distribution analysis. Journal of Sound and Vibration. 333(2). 499–519. 18 indexed citations
16.
Totaro, Nicolas & J.L. Guyader. (2012). Efficient positioning of absorbing material in complex systems by using the Patch Transfer Function method. Journal of Sound and Vibration. 331(13). 3130–3143. 7 indexed citations
17.
Aucejo, Mathieu, Nicolas Totaro, & J.L. Guyader. (2010). Identification of source velocities on 3D structures in non-anechoic environments: Theoretical background and experimental validation of the inverse patch transfer functions method. Journal of Sound and Vibration. 329(18). 3691–3708. 25 indexed citations
18.
Pavić, Goran & Nicolas Totaro. (2008). Noise source characterisation using patch impedance technique. The Journal of the Acoustical Society of America. 123(5_Supplement). 3310–3310. 2 indexed citations
19.
Lielens, Grégory, et al.. (2007). Making Sense of Large FEA NVH Databases using SEA Concepts. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations
20.
Totaro, Nicolas & J.L. Guyader. (2005). SEA substructuring using cluster analysis: The MIR index. Journal of Sound and Vibration. 290(1-2). 264–289. 17 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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