M. Molodova

620 total citations
16 papers, 495 citations indexed

About

M. Molodova is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, M. Molodova has authored 16 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 10 papers in Civil and Structural Engineering and 4 papers in Mechanics of Materials. Recurrent topics in M. Molodova's work include Railway Engineering and Dynamics (11 papers), Structural Health Monitoring Techniques (8 papers) and Geotechnical Engineering and Underground Structures (4 papers). M. Molodova is often cited by papers focused on Railway Engineering and Dynamics (11 papers), Structural Health Monitoring Techniques (8 papers) and Geotechnical Engineering and Underground Structures (4 papers). M. Molodova collaborates with scholars based in Netherlands, Japan and Chile. M. Molodova's co-authors include Rolf Dollevoet, Zili Li, Alfredo Núñez, M. Oregui, Xin Zhao and Ali Ashraf Jamshidi and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Intelligent Transportation Systems and Engineering Structures.

In The Last Decade

M. Molodova

15 papers receiving 474 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. Molodova Netherlands 9 435 326 121 116 56 16 495
Esteban Bernal Australia 12 317 0.7× 100 0.3× 121 1.0× 103 0.9× 70 1.3× 33 443
S. Alfi Italy 13 503 1.2× 290 0.9× 111 0.9× 98 0.8× 95 1.7× 42 562
Tao Xin China 14 431 1.0× 265 0.8× 85 0.7× 117 1.0× 38 0.7× 50 552
Derek Woolrich Barke Australia 3 254 0.6× 186 0.6× 98 0.8× 34 0.3× 56 1.0× 4 340
A. Caprioli Italy 7 213 0.5× 257 0.8× 44 0.4× 48 0.4× 20 0.4× 13 326
Egidio Di Gialleonardo Italy 13 385 0.9× 190 0.6× 97 0.8× 87 0.8× 64 1.1× 43 455
Ricardo Insa Spain 9 288 0.7× 206 0.6× 73 0.6× 69 0.6× 37 0.7× 18 360
Pedro Urda Spain 11 245 0.6× 136 0.4× 64 0.5× 52 0.4× 42 0.8× 19 298
Fansong Li China 14 396 0.9× 196 0.6× 186 1.5× 37 0.3× 96 1.7× 37 511

Countries citing papers authored by M. Molodova

Since Specialization
Citations

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

Fields of papers citing papers by M. Molodova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Molodova

This figure shows the co-authorship network connecting the top 25 collaborators of M. Molodova. A scholar is included among the top collaborators of M. Molodova 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. Molodova. M. Molodova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Jamshidi, Ali Ashraf, et al.. (2016). Key Performance Indicators using Robust Prediction Modelling to consider Squats in Railway Infrastructure. Civil-comp proceedings. 110. 2 indexed citations
2.
Molodova, M., M. Oregui, Alfredo Núñez, Zili Li, & Rolf Dollevoet. (2016). Health condition monitoring of insulated joints based on axle box acceleration measurements. Engineering Structures. 123. 225–235. 71 indexed citations
3.
Li, Zili, M. Molodova, Alfredo Núñez, & Rolf Dollevoet. (2015). Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure. IEEE Transactions on Industrial Electronics. 62(7). 4385–4397. 86 indexed citations
4.
Oregui, M., M. Molodova, Alfredo Núñez, Rolf Dollevoet, & Zili Li. (2015). Experimental Investigation Into the Condition of Insulated Rail Joints by Impact Excitation. Experimental Mechanics. 55(9). 1597–1612. 36 indexed citations
5.
Molodova, M., Zili Li, Alfredo Núñez, & Rolf Dollevoet. (2014). Parametric study of axle box acceleration at squats. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 229(8). 841–851. 28 indexed citations
6.
Molodova, M., et al.. (2014). Automated Monitoring System for Insulated Joints: Preliminary Results using Axle Box Acceleration Measurements. Civil-comp proceedings. 104. 1 indexed citations
7.
Molodova, M., Zili Li, Alfredo Núñez, & Rolf Dollevoet. (2014). Validation of a finite element model for axle box acceleration at squats in the high frequency range. Computers & Structures. 141. 84–93. 53 indexed citations
8.
Molodova, M., Zili Li, Alfredo Núñez, & Rolf Dollevoet. (2014). Automatic Detection of Squats in Railway Infrastructure. IEEE Transactions on Intelligent Transportation Systems. 15(5). 1980–1990. 158 indexed citations
9.
Molodova, M., et al.. (2014). Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands. 103. 822–827. 11 indexed citations
10.
Molodova, M., Zili Li, Alfredo Núñez, & Rolf Dollevoet. (2013). Monitoring the railway infrastructure: Detection of surface defects using wavelets. 1316–1321. 18 indexed citations
11.
Molodova, M.. (2013). Detection of early squats by axle box acceleration. Research Repository (Delft University of Technology). 11 indexed citations
12.
Molodova, M., et al.. (2009). Detectability of isolated short wave rail surface defects by way of axle box acceleration. 1–11. 3 indexed citations
13.
Dollevoet, Rolf, et al.. (2009). The validation of some numerical predictions on squats growth. University of Twente Research Information. 369–377. 5 indexed citations
14.
Molodova, M., et al.. (2009). Simulation of dynamic responses of vehicle-track system for detection of track short wave defects. University of Twente Research Information. 1121–1128. 4 indexed citations
15.
Molodova, M., et al.. (2008). Numerical simulation of dynamic responses at squats. 1–8. 1 indexed citations
16.
Li, Zili, M. Molodova, & Rolf Dollevoet. (2008). An investigation of the possibility to use axle box acceleration for condition monitoring of welds. Data Archiving and Networked Services (DANS). 2879–2886. 7 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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