S. Hamid Nawab
- Biomedical Engineering top 2%
- Cognitive Neuroscience top 2%
- Signal Processing top 2%
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Carlo J. De LucaShey-Sheen ChangThomas F. QuatieriSerge H. RoyL. Donald GilmoreAlexander AdamJeffrey LudwigAnantha P. Chandrakasan
- Topics
- Muscle activation and electromyography studies (21 papers)Speech and Audio Processing (15 papers)Digital Filter Design and Implementation (15 papers)
- Journals
- Journal of NeurophysiologyJournal of Applied PhysiologyIEEE Transactions on Signal Processing
- Partner nations
- United StatesCanadaItaly
In The Last Decade
S. Hamid Nawab
68 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 115
- Biomedical Engineering 1.2k
- Cognitive Neuroscience 718
- Signal Processing 401
- Cellular and Molecular Neuroscience 298
- Computer Vision and Pattern Recognition 297
Countries citing papers authored by S. Hamid Nawab
This map shows the geographic impact of S. Hamid Nawab'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 S. Hamid Nawab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Hamid Nawab more than expected).
Fields of papers citing papers by S. Hamid Nawab
This network shows the impact of papers produced by S. Hamid Nawab. 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 S. Hamid Nawab. The network helps show where S. Hamid Nawab may publish in the future.
Co-authorship network of co-authors of S. Hamid Nawab
This figure shows the co-authorship network connecting the top 25 collaborators of S. Hamid Nawab. A scholar is included among the top collaborators of S. Hamid Nawab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. Hamid Nawab. S. Hamid Nawab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 63 | |
| 3 | 5 | |
| 4 | 21 | |
| 5 | 285 | |
| 6 | 6 | |
| 7 | 106 | |
| 8 | 360 | |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 0 | |
| 12 | Knowledge-based analysis of speech mixed with sporadic environmental sounds | 4 |
| 13 | The IPUS blackboard architecture as a framework for computational auditory scene analysis | 10 |
| 14 | 18 | |
| 15 | 6 | |
| 16 | 8 | |
| 17 | Signal abstraction concept for signal interpretation | 1 |
| 18 | Knowledge-based signal processing applications | 5 |
| 19 | Integrated processing and understanding of signals | 19 |
| 20 | Short-time Fourier transform | 135 |
About S. Hamid Nawab
S. Hamid Nawab is a scholar working on Signal Processing, Cognitive Neuroscience and Structural Biology, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (21 papers), Speech and Audio Processing (15 papers) and Digital Filter Design and Implementation (15 papers). The work is most often cited by research in Signal Processing (401 citations), Cognitive Neuroscience (718 citations) and Biomedical Engineering (1.2k citations). S. Hamid Nawab has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Carlo J. De Luca, Shey-Sheen Chang, Thomas F. Quatieri, Serge H. Roy, L. Donald Gilmore, Alexander Adam, Jeffrey Ludwig, Anantha P. Chandrakasan, Jae S. Lim and Alan V. Oppenheim. Their work appears in journals such as Journal of Neurophysiology, Journal of Applied Physiology and IEEE Transactions on Signal Processing.
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.