Michael Brown

65 papers receiving 1.1k citations

Peers

Michael Brown
Comparison fields: 5 of 90
  • Control and Systems Engineering 452
  • Acoustics and Ultrasonics 13
  • Biomedical Engineering 473
  • Rehabilitation 66
  • Statistical and Nonlinear Physics 99
Replace Liangyong Wang with:
Liangyong Wang China
Chih‐Jer Lin Taiwan
Yasutaka Fujimoto Japan
David Daney United States
Zhen Ding China
E. Hofer Germany
Min Tang China
Mohammad Danesh Iran
Moosa Ayati Iran
Michael Brown relative to Liangyong Wang China Liangyong Wang's profile →
Citations per field
00.5×8.3×
Liangyong Wang · 1×
Citations per year

Countries citing papers authored by Michael Brown

Since Specialization
Citations

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

Fields of papers citing papers by Michael Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993130
2 200384
3 199763
4 201957
5 200151
6 200645
7 199543
8 199943
9 201742
10 201742
11
Advanced Adaptive Control
199541
12 200839
13 200336
14 199733
15 200133
16 202032
17 200432
18 200327
19 202126
20 199925

About Michael Brown

Michael Brown is a scholar working on Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Automotive Engineering, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Photoacoustic and Ultrasonic Imaging (13 papers), Neural Networks and Applications (9 papers), Real-time simulation and control systems (8 papers), Advanced Control Systems Optimization (7 papers), Ultrasound Imaging and Elastography (6 papers), Hydraulic and Pneumatic Systems (6 papers), Power System Optimization and Stability (6 papers) and Prosthetics and Rehabilitation Robotics (6 papers). The work is most often cited by research in Control and Systems Engineering (452 citations), Acoustics and Ultrasonics (13 citations), Biomedical Engineering (473 citations), Rehabilitation (66 citations) and Statistical and Nonlinear Physics (99 citations). Michael Brown has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include C.J. Harris, Ben Cox, Bradley E. Treeby, Robert C. Richardson, G.W. Irwin, Christopher Moore, Martin Levesley, Gordon Lightbody, E. Swidenbank and B.W. Hogg. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Applied Physics Letters, IEEE Transactions on Energy Conversion, The Journal of the Acoustical Society of America and Physical Review A.

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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