M.T. Musavi
Impact in
- Artificial Intelligence top 2%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
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- Face and Expression Recognition
Papers in
-
- Neural Networks and Applications 19
- Target Tracking and Data Fusion in Sensor Networks 5
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- Power Systems Fault Detection 9
- Co-authors
- D.M. Hummels (7 shared papers)K.H. Chan (5 shared papers)W. Ahmed (8 shared papers)N. Narasimhamurthi (2 shared papers)Mukul V. Shirvaikar (4 shared papers)Peggy Agouris (1 shared paper)Peter Doucette (1 shared paper)Anthony Stefanidis (1 shared paper)
- Journals
- Neural Networks (4 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Pattern Recognition (2 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Transactions on Power Systems (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
M.T. Musavi
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 126
- Artificial Intelligence 480
- Computer Vision and Pattern Recognition 273
- Control and Systems Engineering 270
- Media Technology 99
- Signal Processing 108
Countries citing papers authored by M.T. Musavi
This map shows the geographic impact of M.T. Musavi'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.T. Musavi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Musavi more than expected).
Fields of papers citing papers by M.T. Musavi
This network shows the impact of papers produced by M.T. Musavi. 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.T. Musavi. The network helps show where M.T. Musavi may publish in the future.
Co-authors
The 25 scholars most cited alongside M.T. Musavi, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 411 | |
| 2 | 2001 | 104 | |
| 3 | 1989 | 97 | |
| 4 | 1984 | 88 | |
| 5 | 1994 | 54 | |
| 6 | 2008 | 48 | |
| 7 | 1994 | 46 | |
| 8 | 2004 | 41 | |
| 9 | 2018 | 25 | |
| 10 | 2015 | 24 | |
| 11 | 1988 | 23 | |
| 12 | 2012 | 18 | |
| 13 | Comparison of MLP neural network and Kalman filter for localization in wireless sensor networks | 2007 | 17 |
| 14 | 1993 | 16 | |
| 15 | 1992 | 16 | |
| 16 | 1995 | 14 | |
| 17 | 2011 | 14 | |
| 18 | Double Self-Organizing Maps to Cluster Gene Expression Data | 2002 | 13 |
| 19 | 2011 | 13 | |
| 20 | 1998 | 11 |
About M.T. Musavi
M.T. Musavi is a scholar working on Artificial Intelligence, Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Molecular Biology, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (19 papers), Power System Optimization and Stability (13 papers), Gene expression and cancer classification (11 papers), Power Systems Fault Detection (9 papers), Face and Expression Recognition (6 papers), Blind Source Separation Techniques (6 papers), Water Quality Monitoring Technologies (5 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Artificial Intelligence (480 citations), Computer Vision and Pattern Recognition (273 citations), Control and Systems Engineering (270 citations), Media Technology (99 citations) and Signal Processing (108 citations). M.T. Musavi has collaborated with scholars based in United States and Australia. Frequent co-authors include D.M. Hummels, K.H. Chan, W. Ahmed, N. Narasimhamurthi, Mukul V. Shirvaikar, Peggy Agouris, Peter Doucette, Anthony Stefanidis, Yifeng Zhu and Habtom W. Ressom. Their work appears in journals such as Neural Networks, IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Power Systems.
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.