M. Molodova

630 citations
16 papers · 506 · h-index 9

Impact in

Papers in

M. Molodova

15 papers receiving 487 citations

Peers

M. Molodova
Comparison fields: 5 of 34
  • General Engineering 40
  • Civil and Structural Engineering 329
  • Industrial and Manufacturing Engineering 123
  • Mechanical Engineering 442
  • Mechanics of Materials 121
Replace S. Alfi with:
S. Alfi Italy
Esteban Bernal Australia
Araliya Mosleh Portugal
Egidio Di Gialleonardo Italy
H. Magalhães Portugal
A. Caprioli Italy
Tianci Gao China
Yann Bezin United Kingdom
Yuan Yao China
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Citations per field
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Citations per year

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-authors

The 6 scholars most cited alongside M. Molodova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Molodova Line = papers co-authored together M. Molodova links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2014161
2 201590
3 201674
4 201454
5 201536
6 201428
7 201318
8 201411
9 201311
10
An investigation of the possibility to use axle box acceleration for condition monitoring of welds
20087
11
The validation of some numerical predictions on squats growth
20095
12
Simulation of dynamic responses of vehicle-track system for detection of track short wave defects
20094
13
Detectability of isolated short wave rail surface defects by way of axle box acceleration
20093
14 20162
15 20141
16
Numerical simulation of dynamic responses at squats
20081

About M. Molodova

M. Molodova is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials, Control and Systems Engineering and Orthopedics and Sports Medicine, having authored 16 papers that have together received 506 indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (11 papers), Structural Health Monitoring Techniques (8 papers), Geotechnical Engineering and Underground Structures (4 papers), Ultrasonics and Acoustic Wave Propagation (3 papers), Machine Fault Diagnosis Techniques (2 papers), Sports Dynamics and Biomechanics (2 papers), Sports Performance and Training (2 papers) and Railway Systems and Energy Efficiency (1 paper). The work is most often cited by research in General Engineering (40 citations), Civil and Structural Engineering (329 citations), Industrial and Manufacturing Engineering (123 citations), Mechanical Engineering (442 citations) and Mechanics of Materials (121 citations). M. Molodova has collaborated with scholars based in Netherlands, Japan and Chile. Frequent co-authors include Rolf Dollevoet, Zili Li, Alfredo Núñez, M. Oregui, Xin Zhao and Ali Ashraf Jamshidi. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Experimental Mechanics, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, IEEE Transactions on Industrial Electronics and Computers & Structures.

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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