Matthias Asplund

518 total citations
38 papers, 373 citations indexed

About

Matthias Asplund is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials. According to data from OpenAlex, Matthias Asplund has authored 38 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mechanical Engineering, 15 papers in Civil and Structural Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Matthias Asplund's work include Railway Engineering and Dynamics (31 papers), Mechanical stress and fatigue analysis (8 papers) and Railway Systems and Energy Efficiency (8 papers). Matthias Asplund is often cited by papers focused on Railway Engineering and Dynamics (31 papers), Mechanical stress and fatigue analysis (8 papers) and Railway Systems and Energy Efficiency (8 papers). Matthias Asplund collaborates with scholars based in Sweden, United States and Spain. Matthias Asplund's co-authors include Jing Lin, Stephen Mayowa Famurewa, Matti Rantatalo, Aditya Parida, Diego Galar, Liangwei Zhang, Uday Kumar, Ian Marshall, P. F. Winkler and J. Higinbotham and has published in prestigious journals such as Wear, Reliability Engineering & System Safety and Tribology International.

In The Last Decade

Matthias Asplund

37 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Asplund Sweden 12 205 87 76 67 65 38 373
Xiaogang Zhang China 14 174 0.8× 22 0.3× 68 0.9× 79 1.2× 63 1.0× 37 439
Isabel M. Ribeiro Portugal 10 91 0.4× 73 0.8× 23 0.3× 80 1.2× 31 0.5× 26 381
Faeze Ghofrani United States 8 207 1.0× 145 1.7× 23 0.3× 33 0.5× 43 0.7× 11 374
Darren Prescott United Kingdom 12 134 0.7× 117 1.3× 19 0.3× 64 1.0× 167 2.6× 35 427
Zhou Yang China 14 279 1.4× 57 0.7× 87 1.1× 132 2.0× 55 0.8× 51 511
Rentong Chen China 12 83 0.4× 53 0.6× 39 0.5× 132 2.0× 138 2.1× 31 411
Joel Igba United Kingdom 6 127 0.6× 47 0.5× 58 0.8× 182 2.7× 88 1.4× 8 329
Gaige Chen China 7 170 0.8× 55 0.6× 41 0.5× 216 3.2× 54 0.8× 10 456
Mohamed Eid France 8 65 0.3× 63 0.7× 27 0.4× 22 0.3× 33 0.5× 36 277
Yawei Hu China 12 172 0.8× 19 0.2× 78 1.0× 133 2.0× 54 0.8× 32 349

Countries citing papers authored by Matthias Asplund

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Asplund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Asplund

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Asplund. A scholar is included among the top collaborators of Matthias Asplund 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 Matthias Asplund. Matthias Asplund 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.
Garmabaki, A. H. S., et al.. (2024). Assessing climate-induced risks to urban railway infrastructure. International Journal of Systems Assurance Engineering and Management. 4 indexed citations
2.
Asplund, Matthias, et al.. (2024). Evaluating the impact of rail surface roughness post-grinding: An experimental and elastoplastic modelling approach. Tribology International. 201. 110270–110270. 4 indexed citations
3.
Asplund, Matthias, et al.. (2024). Detector response from a defective wheel. Wear. 542-543. 205282–205282. 2 indexed citations
4.
Asplund, Matthias, et al.. (2024). Railway curve squeal detection and tonal analysis. NOISE-CON proceedings. 270(6). 5492–5502.
5.
Asplund, Matthias, et al.. (2017). A Nordic heavy haul experience and best practices. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 231(7). 794–804. 7 indexed citations
6.
Famurewa, Stephen Mayowa, Liangwei Zhang, & Matthias Asplund. (2017). Maintenance analytics for railway infrastructure decision support. Journal of Quality in Maintenance Engineering. 23(3). 310–325. 26 indexed citations
7.
Asplund, Matthias, Janet Lin, & Matti Rantatalo. (2016). Assessment of the data quality of wayside wheel profile measurements. 19(3). 19–25. 2 indexed citations
8.
Asplund, Matthias, et al.. (2015). Investigation of the Top-of-Rail Friction by Field Measurements on Swedish Iron Ore Line. 18(2). 17–20. 3 indexed citations
9.
Asplund, Matthias, et al.. (2015). Towards perfected rail maintenance : combining routine and long-term research activities. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
10.
Asplund, Matthias, et al.. (2014). A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 230(2). 323–334. 34 indexed citations
11.
Asplund, Matthias, Stephen Mayowa Famurewa, & Matti Rantatalo. (2014). Condition monitoring and e-maintenance solution of railway wheels. Journal of Quality in Maintenance Engineering. 20(3). 216–232. 11 indexed citations
12.
13.
Asplund, Matthias. (2014). Wayside condition monitoring technologies for railway systems. KTH Publication Database DiVA (KTH Royal Institute of Technology). 4 indexed citations
14.
Rantatalo, Matti, et al.. (2013). Top-of-rail friction modifier: a vibro-acoustic measurement study. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
15.
Lin, Jing, Matthias Asplund, & Aditya Parida. (2013). Reliability Analysis for Degradation of Locomotive Wheels using Parametric Bayesian Approach. Quality and Reliability Engineering International. 30(5). 657–667. 40 indexed citations
16.
Asplund, Matthias, et al.. (2013). Automatic laser scanning of wheel profiles: condition monitoring to achieve greater capacity for existing infrastructure in an extreme climate. 445–451. 3 indexed citations
17.
Famurewa, Stephen Mayowa, Matthias Asplund, Diego Galar, & Uday Kumar. (2013). Implementation of performance based maintenance contracting in railway industries. International Journal of Systems Assurance Engineering and Management. 4(3). 231–240. 10 indexed citations
18.
Lin, Jing & Matthias Asplund. (2013). Bayesian semi-parametric analysis for locomotive wheel degradation using gamma frailties. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 229(3). 237–247. 14 indexed citations
19.
Lin, Jing, et al.. (2013). Bayesian parametric analysis for reliability study of locomotive wheels. KTH Publication Database DiVA (KTH Royal Institute of Technology). 132. 1–6. 4 indexed citations
20.
Marshall, Ian, et al.. (2006). Quantification of MRS data in the frequency domain using a wavelet filter, an approximated Voigt lineshape model and prior knowledge. NMR in Biomedicine. 19(5). 617–626. 13 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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