Michael J. Goodwin

46 total papers · 445 total citations
28 papers, 353 citations indexed

About

Michael J. Goodwin is a scholar working on Mechanical Engineering, Fluid Flow and Transfer Processes and Biomedical Engineering. According to data from OpenAlex, Michael J. Goodwin has authored 28 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 4 papers in Fluid Flow and Transfer Processes and 4 papers in Biomedical Engineering. Recurrent topics in Michael J. Goodwin's work include Tribology and Lubrication Engineering (10 papers), Gear and Bearing Dynamics Analysis (6 papers) and Hydraulic and Pneumatic Systems (5 papers). Michael J. Goodwin is often cited by papers focused on Tribology and Lubrication Engineering (10 papers), Gear and Bearing Dynamics Analysis (6 papers) and Hydraulic and Pneumatic Systems (5 papers). Michael J. Goodwin collaborates with scholars based in United Kingdom, China and United States. Michael J. Goodwin's co-authors include Gustavo A. Medrano‐Cerda, Darwin G. Caldwell, P. R. Hooper, Tarik Al‐Shemmeri, Hongnian Yu, Wanhai Xu, I. Bennion, C. J. Hooke, D. J. Pratt and W.J. Stewart and has published in prestigious journals such as Journal of Materials Processing Technology, Applied Thermal Engineering and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Michael J. Goodwin

28 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael J. Goodwin 189 111 80 63 34 28 353
Larry R. Oliver 134 0.7× 76 0.7× 121 1.5× 28 0.4× 27 0.8× 27 306
Nader Dolatabadi 295 1.6× 76 0.7× 49 0.6× 64 1.0× 31 0.9× 28 392
Linghao Zhou 107 0.6× 91 0.8× 88 1.1× 177 2.8× 24 0.7× 17 327
Nigel Johnston 260 1.4× 98 0.9× 148 1.9× 17 0.3× 86 2.5× 32 390
N. Lalor 143 0.8× 123 1.1× 38 0.5× 62 1.0× 109 3.2× 30 346
Łukasz Witanowski 261 1.4× 45 0.4× 72 0.9× 25 0.4× 11 0.3× 32 371
Matheus P. Porto 244 1.3× 38 0.3× 43 0.5× 18 0.3× 35 1.0× 34 394
Radosław Przysowa 99 0.5× 40 0.4× 36 0.5× 43 0.7× 84 2.5× 44 302
Wei Zhong 146 0.8× 91 0.8× 98 1.2× 9 0.1× 25 0.7× 46 340
Quan Dong 68 0.4× 70 0.6× 94 1.2× 207 3.3× 19 0.6× 37 354

Countries citing papers authored by Michael J. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Goodwin. 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 Michael J. Goodwin. The network helps show where Michael J. Goodwin may publish in the future.

Co-authorship network of co-authors of Michael J. Goodwin

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

All Works

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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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