R.M. Goodall

5.5k citations
270 papers · 4.5k · h-index 35

Impact in

Papers in

R.M. Goodall

254 papers receiving 4.2k citations

Peers

R.M. Goodall
Comparison fields: 5 of 107
  • General Engineering 415
  • Civil and Structural Engineering 1.9k
  • Mechanical Engineering 3.1k
  • Industrial and Manufacturing Engineering 767
  • Control and Systems Engineering 1.5k
Replace Yu Guo with:
Yu Guo China
Roger Dixon United Kingdom
Andrew Ball United Kingdom
Xiukun Wei China
Sung‐Soo Kim South Korea
Argyrios Zolotas United Kingdom
Arun Kumar Samantaray India
Jianwei Yang China
Zhengyou He China
Yougang Sun China
R.M. Goodall relative to Yu Guo China Yu Guo's profile →
Citations per field
00.5×7.6×
Yu Guo · 1×
Citations per year

Countries citing papers authored by R.M. Goodall

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R.M. Goodall, 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 R.M. Goodall Line = papers co-authored together R.M. Goodall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 270 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007228
2 2007156
3 2007148
4 2006139
5 2012125
6 2000118
7 2009113
8 1983107
9 201197
10 202093
11 199790
12 200482
13 200376
14 200875
15 199973
16 200270
17 200263
18 199762
19 200053
20 200653

About R.M. Goodall

R.M. Goodall is a scholar working on Mechanical Engineering, Control and Systems Engineering, Civil and Structural Engineering, Automotive Engineering and Industrial and Manufacturing Engineering, having authored 270 papers that have together received 4.5k indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (124 papers), Magnetic Bearings and Levitation Dynamics (44 papers), Railway Systems and Energy Efficiency (42 papers), Vehicle Dynamics and Control Systems (37 papers), Fault Detection and Control Systems (28 papers), Structural Health Monitoring Techniques (21 papers), Vibration Control and Rheological Fluids (21 papers) and Civil and Geotechnical Engineering Research (16 papers). The work is most often cited by research in General Engineering (415 citations), Civil and Structural Engineering (1.9k citations), Mechanical Engineering (3.1k citations), Industrial and Manufacturing Engineering (767 citations) and Control and Systems Engineering (1.5k citations). R.M. Goodall has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include T.X. Mei, Roger Dixon, Argyrios Zolotas, Clive Roberts, W. Kortüm, Stefano Bruni, Christopher Ward, Chung Seng Ling, John Pearson and Paul Weston. Their work appears in journals such as Vehicle System Dynamics, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Control Engineering Practice, Annual Reviews in Control and IEEE Transactions on Control Systems Technology.

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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