N. Gil‐Negrete

613 total citations
33 papers, 457 citations indexed

About

N. Gil‐Negrete is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, N. Gil‐Negrete has authored 33 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Civil and Structural Engineering, 17 papers in Mechanical Engineering and 6 papers in Biomedical Engineering. Recurrent topics in N. Gil‐Negrete's work include Railway Engineering and Dynamics (14 papers), Structural Engineering and Vibration Analysis (13 papers) and Vibration Control and Rheological Fluids (12 papers). N. Gil‐Negrete is often cited by papers focused on Railway Engineering and Dynamics (14 papers), Structural Engineering and Vibration Analysis (13 papers) and Vibration Control and Rheological Fluids (12 papers). N. Gil‐Negrete collaborates with scholars based in Spain, Sweden and Denmark. N. Gil‐Negrete's co-authors include Leif Kari, J. Viñolas, A. Alonso, J. G. Giménez, Alejandro Rivas, Mats Berg, Stefano Bruni, Alan Facchinetti, Bochao Wang and Martín Tanco and has published in prestigious journals such as Journal of Applied Mechanics, Sensors and Journal of Sound and Vibration.

In The Last Decade

N. Gil‐Negrete

32 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Gil‐Negrete Spain 14 291 263 108 89 63 33 457
Michal Kubík Czechia 12 374 1.3× 185 0.7× 82 0.8× 41 0.5× 16 0.3× 46 467
M. Klasztorny Poland 12 259 0.9× 180 0.7× 35 0.3× 8 0.1× 122 1.9× 71 418
Deepak Kumar Pokkalla United States 12 96 0.3× 306 1.2× 48 0.4× 97 1.1× 111 1.8× 21 439
Josef Soukup Czechia 11 80 0.3× 227 0.9× 25 0.2× 62 0.7× 60 1.0× 55 334
Tadao TAKIGAMI Japan 14 378 1.3× 473 1.8× 25 0.2× 52 0.6× 95 1.5× 89 559
Habibollah Molatefi Iran 10 123 0.4× 411 1.6× 21 0.2× 35 0.4× 130 2.1× 31 433
Robert Keqi Luo China 15 329 1.1× 432 1.6× 318 2.9× 20 0.2× 358 5.7× 64 747
Xiang Shi China 17 1.0k 3.5× 234 0.9× 32 0.3× 47 0.5× 38 0.6× 34 1.1k
M. S. Han South Korea 10 266 0.9× 124 0.5× 41 0.4× 79 0.9× 30 0.5× 17 356

Countries citing papers authored by N. Gil‐Negrete

Since Specialization
Citations

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

Fields of papers citing papers by N. Gil‐Negrete

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Gil‐Negrete. 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 N. Gil‐Negrete. The network helps show where N. Gil‐Negrete may publish in the future.

Co-authorship network of co-authors of N. Gil‐Negrete

This figure shows the co-authorship network connecting the top 25 collaborators of N. Gil‐Negrete. A scholar is included among the top collaborators of N. Gil‐Negrete 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 N. Gil‐Negrete. N. Gil‐Negrete 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.
Gil‐Negrete, N., et al.. (2023). A Non-Intrusive Monitoring System on Train Pantographs for the Maintenance of Overhead Contact Lines. Sensors. 23(18). 7890–7890.
2.
Facchinetti, Alan, et al.. (2023). Analysis and modelling of the dynamic stiffness up to 400 Hz of an air spring with a pipeline connected to a reservoir. Journal of Sound and Vibration. 557. 117740–117740. 10 indexed citations
3.
Gil‐Negrete, N., et al.. (2022). Practical design of an electromagnet for the compression characterization of magnetorheological elastomers. Smart Materials and Structures. 31(9). 95005–95005. 3 indexed citations
4.
Gil‐Negrete, N., et al.. (2022). Effect of lubrication on the mechanical behavior of magnetorheological elastomers in compression mode. Polymer Testing. 111. 107617–107617. 12 indexed citations
5.
Gil‐Negrete, N., et al.. (2022). Analysis of the axial and transversal stiffness of an air spring suspension of a railway vehicle: mathematical modelling and experiments. International Journal of Rail Transportation. 12(1). 56–75. 7 indexed citations
6.
Gil‐Negrete, N., et al.. (2021). On the correction of rail accelerations predicted by numerical track models based on Timoshenko beam theory. Vehicle System Dynamics. 60(6). 1993–2017. 3 indexed citations
7.
Gil‐Negrete, N., et al.. (2020). A survey on the modelling of air springs – secondary suspension in railway vehicles. Vehicle System Dynamics. 60(3). 835–864. 29 indexed citations
8.
Alonso, A., et al.. (2017). Distributed support modelling for vertical track dynamic analysis. Vehicle System Dynamics. 56(4). 529–552. 17 indexed citations
9.
Gil‐Negrete, N., et al.. (2015). An experimental comparison between existing damping solutions for railway wheels. Noise Control Engineering Journal. 63(5). 448–459. 2 indexed citations
10.
Gil‐Negrete, N., et al.. (2014). Constrained Layer Damper Modelling and Performance Evaluation for Eliminating Squeal Noise in Trams. Shock and Vibration. 2014. 1–11. 9 indexed citations
11.
Jacobsen, Finn, et al.. (2013). Practical Computational Aeroacoustics for Complex Confined Scattering Geometries in Low Mach Number Flows. Acta acustica united with Acustica. 99(1). 130–138. 1 indexed citations
12.
Alonso, A., et al.. (2013). Development of a rubber component model suitable for being implemented in railway dynamic simulation programs. Journal of Sound and Vibration. 332(12). 3032–3048. 21 indexed citations
13.
Gil‐Negrete, N., et al.. (2013). Modelling energy flow through magneto-sensitive vibration isolators. International Journal of Engineering Science. 65. 22–39. 16 indexed citations
14.
Gil‐Negrete, N., et al.. (2012). Indirect energy flow measurement in magneto-sensitive vibration isolator systems. Applied Acoustics. 74(4). 575–584. 7 indexed citations
15.
Gil‐Negrete, N., et al.. (2012). Influence of carbon black and plasticisers on dynamic properties of isotropic magnetosensitive natural rubber. Plastics Rubber and Composites Macromolecular Engineering. 41(7). 310–317. 15 indexed citations
16.
Gil‐Negrete, N., et al.. (2009). Viscoelastic models for rubber mounts: influence on the dynamic behaviour of an elastomeric isolated system. International Journal of Vehicle Design. 49(4). 303–303. 14 indexed citations
17.
Gil‐Negrete, N., J. Viñolas, & Leif Kari. (2008). A Nonlinear Rubber Material Model Combining Fractional Order Viscoelasticity and Amplitude Dependent Effects. Journal of Applied Mechanics. 76(1). 37 indexed citations
18.
Kari, Leif, et al.. (2007). Torsion stiffness of a rubber bushing: A simple engineering design formula including the amplitude dependence. The Journal of Strain Analysis for Engineering Design. 42(1). 13–21. 27 indexed citations
19.
Gil‐Negrete, N., Alejandro Rivas, & J. Viñolas. (2004). Predicting the Dynamic Behaviour of Hydrobushings. Shock and Vibration. 12(2). 91–107. 20 indexed citations
20.
Mateo, A., et al.. (1999). Testing and FE modelling of the dynamic properties of carbon black filled rubber. 5 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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