M. Brown
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
Papers in
-
- Natural Language Processing Techniques 7
- Speech Recognition and Synthesis 6
- Speech and dialogue systems 5
- Neural Networks and Applications 4
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- Handwritten Text Recognition Techniques 4
- Co-authors
- Jianying Hu (4 shared papers)William Turin (3 shared papers)Sriram Ganapathy (1 shared paper)L. R. Rabiner (4 shared papers)Borys Omelayenko (1 shared paper)Ying Ding (1 shared paper)Ellen Schulten (1 shared paper)Dieter Fensel (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (3 papers)Operations Research (2 papers)IEEE Intelligent Systems (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Science & Justice (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
M. Brown
33 papers receiving 659 citations
Peers
Comparison fields: 5 of 102
- Human-Computer Interaction 84
- Computer Vision and Pattern Recognition 269
- Artificial Intelligence 303
- Signal Processing 84
- Information Systems 132
Countries citing papers authored by M. Brown
This map shows the geographic impact of M. 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 M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Brown more than expected).
Fields of papers citing papers by M. Brown
This network shows the impact of papers produced by M. 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 M. Brown. The network helps show where M. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 209 | |
| 2 | 2001 | 138 | |
| 3 | 1985 | 87 | |
| 4 | 1983 | 53 | |
| 5 | 2016 | 29 | |
| 6 | 1982 | 28 | |
| 7 | 1991 | 23 | |
| 8 | 1992 | 19 | |
| 9 | 1985 | 19 | |
| 10 | 1982 | 17 | |
| 11 | 1991 | 15 | |
| 12 | 1977 | 14 | |
| 13 | 1991 | 13 | |
| 14 | 1986 | 13 | |
| 15 | 2017 | 8 | |
| 16 | 1996 | 7 | |
| 17 | 2002 | 6 | |
| 18 | 2002 | 5 | |
| 19 | 2005 | 5 | |
| 20 | 1987 | 5 |
About M. Brown
M. Brown is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing and Aerospace Engineering, having authored 36 papers that have together received 742 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (6 papers), Speech and dialogue systems (5 papers), Robotics and Sensor-Based Localization (4 papers), Handwritten Text Recognition Techniques (4 papers), Neural Networks and Applications (4 papers), Robot Manipulation and Learning (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Human-Computer Interaction (84 citations), Computer Vision and Pattern Recognition (269 citations), Artificial Intelligence (303 citations), Signal Processing (84 citations) and Information Systems (132 citations). M. Brown has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jianying Hu, William Turin, Sriram Ganapathy, L. R. Rabiner, Borys Omelayenko, Ying Ding, Ellen Schulten, Dieter Fensel, J. G. Wilpon and Sàdaf Noor. Their work appears in journals such as IEEE Transactions on Signal Processing, Operations Research, IEEE Intelligent Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence and Science & Justice.
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.