David Brown

1.5k citations
74 papers · 1.0k · h-index 14

Impact in

Papers in

David Brown

65 papers receiving 987 citations

Peers

David Brown
Comparison fields: 5 of 116
  • Ocean Engineering 239
  • Automotive Engineering 162
  • Civil and Structural Engineering 193
  • Artificial Intelligence 267
  • Control and Systems Engineering 191
Replace James T. Allison with:
James T. Allison United States
Seung‐Woo Seo South Korea
Han‐Pang Huang Taiwan
Abdullah Al Mamun Singapore
Yunjie Li China
Zhaowei Cai United States
Jin Zhao China
Jian Guo China
Chuan Lin China
Yixin Su China
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by David Brown

Since Specialization
Citations

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

Fields of papers citing papers by David Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008244
2 2008169
3 201072
4 200853
5 201739
6 200632
7 201232
8 202130
9 202029
10 200826
11 200821
12 200620
13 200720
14 200818
15 202213
16 201713
17 200513
18 200811
19 201211
20 202310

About David Brown

David Brown is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering and Computer Networks and Communications, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (11 papers), Fuzzy Logic and Control Systems (7 papers), Machine Fault Diagnosis Techniques (7 papers), Vibration Control and Rheological Fluids (6 papers), Anomaly Detection Techniques and Applications (6 papers), Neural Networks and Applications (5 papers), Face and Expression Recognition (4 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Ocean Engineering (239 citations), Automotive Engineering (162 citations), Civil and Structural Engineering (193 citations), Artificial Intelligence (267 citations) and Control and Systems Engineering (191 citations). David Brown has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Honghai Liu, Jiangtao Cao, Ping Li, George M. Coghill, Hongjie Ma, Adeel Ahmed, Ping Li, Sheng Chen, Chee Seng Chan and Rodney W. Whitaker. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Queue, Industrial Robot the international journal of robotics research and application, Journal of Intelligent & Robotic Systems and Applied Soft Computing.

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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