Tim McSweeney

541 total citations
20 papers, 361 citations indexed

About

Tim McSweeney is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Tim McSweeney has authored 20 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Mechanical Engineering, 7 papers in Industrial and Manufacturing Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Tim McSweeney's work include Railway Engineering and Dynamics (13 papers), Railway Systems and Energy Efficiency (7 papers) and Mechanical stress and fatigue analysis (6 papers). Tim McSweeney is often cited by papers focused on Railway Engineering and Dynamics (13 papers), Railway Systems and Energy Efficiency (7 papers) and Mechanical stress and fatigue analysis (6 papers). Tim McSweeney collaborates with scholars based in Australia, Sweden and Canada. Tim McSweeney's co-authors include Colin Cole, Maksym Spiryagin, Qing Wu, Yan Quan Sun, Peter Wolfs, Scott Simson, Esteban Bernal, Manicka Dhanasekar, Ingemar Persson and Oldřich Polách and has published in prestigious journals such as Wear, Tribology International and Computers and Geotechnics.

In The Last Decade

Tim McSweeney

18 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim McSweeney Australia 9 256 157 93 63 58 20 361
Esteban Bernal Australia 12 317 1.2× 103 0.7× 121 1.3× 100 1.6× 38 0.7× 33 443
Andrzej Chudzikiewicz Poland 9 217 0.8× 65 0.4× 60 0.6× 100 1.6× 33 0.6× 57 286
Zixue Du China 9 232 0.9× 31 0.2× 71 0.8× 121 1.9× 75 1.3× 27 306
Yohei MICHITSUJI Japan 9 188 0.7× 37 0.2× 43 0.5× 66 1.0× 44 0.8× 66 278
Kevin Oldknow Canada 12 384 1.5× 79 0.5× 272 2.9× 50 0.8× 68 1.2× 35 468
Egidio Di Gialleonardo Italy 13 385 1.5× 87 0.6× 97 1.0× 190 3.0× 78 1.3× 43 455
Pedro Urda Spain 11 245 1.0× 52 0.3× 64 0.7× 136 2.2× 15 0.3× 19 298
H. Magalhães Portugal 12 343 1.3× 49 0.3× 172 1.8× 118 1.9× 38 0.7× 22 395
Fansong Li China 14 396 1.5× 37 0.2× 186 2.0× 196 3.1× 44 0.8× 37 511
S. Alfi Italy 13 503 2.0× 98 0.6× 111 1.2× 290 4.6× 60 1.0× 42 562

Countries citing papers authored by Tim McSweeney

Since Specialization
Citations

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

Fields of papers citing papers by Tim McSweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim McSweeney

This figure shows the co-authorship network connecting the top 25 collaborators of Tim McSweeney. A scholar is included among the top collaborators of Tim McSweeney 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 Tim McSweeney. Tim McSweeney 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.
Spiryagin, Maksym, et al.. (2024). Digital twin framework and platform for zero‐emission heavy haul locomotive design and development. 1(2). 182–197. 1 indexed citations
2.
Bernal, Esteban, Maksym Spiryagin, Kevin Oldknow, et al.. (2024). Hand operated tribometer versus twin disc dry friction characteristics measurements. Wear. 540-541. 205267–205267.
3.
Spiryagin, Maksym, Esteban Bernal, Kevin Oldknow, et al.. (2023). Implementation of roughness and elastic-plastic behavior in a wheel-rail contact modeling for locomotive traction studies. Wear. 532-533. 205115–205115. 6 indexed citations
4.
Rahaman, Mohammad Lutfar, Esteban Bernal, Maksym Spiryagin, et al.. (2023). An investigation into the effect of slip rate on the traction coefficient behaviour with a laboratory replication of a locomotive wheel rolling/sliding along a railway track. Tribology International. 187. 108773–108773. 7 indexed citations
5.
Spiryagin, Maksym, Kevin Oldknow, Peter Wolfs, et al.. (2022). Advanced Modelling and Performance Evaluation of Hydrogen-Powered Heavy Haul Locomotive. 3 indexed citations
6.
Spiryagin, Maksym, Qing Wu, Oldřich Polách, et al.. (2022). Problems, assumptions and solutions in locomotive design, traction and operational studies. 30(3). 265–288. 30 indexed citations
7.
Spiryagin, Maksym, et al.. (2020). Rapid Charging Energy Storage System for a Hybrid Freight Locomotive. 6 indexed citations
8.
Spiryagin, Maksym, Timothy Gordon, Colin Cole, & Tim McSweeney. (2018). The dynamics of vehicles on roads and tracks : proceedings of the 25th Symposium of the International Association of Vehicle Symposium on Dynamics of Vehicle System Dynamics (IAVSD 2017), Rockhampton, Queensland, Australia, 14-18 August 2017. CRC Press eBooks. 1 indexed citations
9.
Wu, Qing, Maksym Spiryagin, Colin Cole, & Tim McSweeney. (2018). Parallel computing in railway research. International Journal of Rail Transportation. 8(2). 111–134. 34 indexed citations
10.
Spiryagin, Maksym, Peter Wolfs, Qing Wu, et al.. (2017). Rail Cleaning Process and its Influence on Locomotive Performance. Acquire (CQUniversity). 6 indexed citations
11.
Wu, Qing, Colin Cole, Maksym Spiryagin, & Tim McSweeney. (2017). Parallel multiobjective optimisations of draft gear designs. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 232(3). 744–758. 12 indexed citations
12.
Spiryagin, Maksym, et al.. (2016). Theoretical investigation of the effect of rail cleaning by wheels on locomotive tractive effort. Acquire (CQUniversity). 3 indexed citations
13.
Wu, Qing, Colin Cole, & Tim McSweeney. (2016). Applications of particle swarm optimization in the railway domain. International Journal of Rail Transportation. 4(3). 167–190. 53 indexed citations
14.
Spiryagin, Maksym, et al.. (2016). Design and Simulation of Heavy Haul Locomotives and Trains. 41 indexed citations
15.
Spiryagin, Maksym, et al.. (2014). Design and Simulation of Rail Vehicles. 96 indexed citations
16.
Spiryagin, Maksym, et al.. (2013). Optimisation of primary suspension characteristics for heavy haul locomotives. Acquire (CQUniversity).
17.
Spiryagin, Maksym, et al.. (2013). Investigation of locomotive multibody modelling issues and results assessment based on the locomotive model acceptance procedure. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 227(5). 453–468. 22 indexed citations
18.
Spiryagin, Maksym, Yan Quan Sun, Colin Cole, et al.. (2012). Development of a real-time bogie test rig model based on railway specialised multibody software. Vehicle System Dynamics. 51(2). 236–250. 22 indexed citations
19.
McSweeney, Tim, et al.. (2008). Evaluation of the properties of railway capping layer soil. Computers and Geotechnics. 35(5). 719–728. 17 indexed citations
20.
Gyasi‐Agyei, Yeboah, et al.. (2007). Advances in steep slope (batter) erosion control. Acquire (CQUniversity). 1 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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