Malcolm C. Good

2.3k citations
65 papers · 1.9k · h-index 17

Impact in

Papers in

Malcolm C. Good

63 papers receiving 1.8k citations

Peers

Malcolm C. Good
Comparison fields: 5 of 60
  • Control and Systems Engineering 961
  • Automotive Engineering 244
  • Media Technology 203
  • Mechanical Engineering 473
  • Computer Vision and Pattern Recognition 210
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Magnus Gäfvert Sweden
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Rahmat A. Shoureshi United States
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Huei‐Yung Lin Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm C. Good

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm C. Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm C. Good. 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 Malcolm C. Good. The network helps show where Malcolm C. Good may publish in the future.

Co-authors

The 11 scholars most cited alongside Malcolm C. Good, 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 Malcolm C. Good Line = papers co-authored together Malcolm C. Good links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985261
2 1996193
3 2005178
4 1984154
5 1985143
6 1968134
7 200894
8 201090
9 198780
10 201276
11 201264
12 200457
13 202035
14 199329
15
A different kind of difference: theoretical implications of using technology to overcome separation in remote laboratories
200727
16 200324
17 198721
18 200717
19 200914
20 197712

About Malcolm C. Good

Malcolm C. Good is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Media Technology and Mechanical Engineering, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (20 papers), Traffic and Road Safety (14 papers), Advanced Control Systems Optimization (10 papers), Experimental Learning in Engineering (7 papers), Control Systems in Engineering (6 papers), Brake Systems and Friction Analysis (5 papers), Robotic Mechanisms and Dynamics (5 papers) and Teleoperation and Haptic Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (961 citations), Automotive Engineering (244 citations), Media Technology (203 citations), Mechanical Engineering (473 citations) and Computer Vision and Pattern Recognition (210 citations). Malcolm C. Good has collaborated with scholars based in Australia, United States and Taiwan. Frequent co-authors include L. M. Sweet, Chris G. Manzie, Peter Corke, Euan D. Lindsay, Peter N. Joubert, M. Tomizuka, Som Naidu, Iman Shames, Errol R. Hoffmann and Saman Kumara Halgamuge. Their work appears in journals such as Vehicle System Dynamics, Journal of Dynamic Systems Measurement and Control, IEEE Transactions on Education, SAE technical papers on CD-ROM/SAE technical paper series 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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