Shihab Shamma
- Cognitive Neuroscience top 0.1%
- Signal Processing top 0.1%
- Experimental and Cognitive Psychology top 0.5%
- Sensory Systems top 0.2%
- Artificial Intelligence top 1%
- Co-authors
- Jonathan B. FritzMounya ElhilaliStephen V. DavidDavid J. KleinNima MesgaraniTai-Shih ChiDidier A. DepireuxJonathan Z. Simon
- Topics
- Neural dynamics and brain function (110 papers)Neuroscience and Music Perception (83 papers)Hearing Loss and Rehabilitation (77 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Shihab Shamma
195 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 8.9k
- Signal Processing 3.1k
- Experimental and Cognitive Psychology 1.8k
- Sensory Systems 1.3k
- Artificial Intelligence 1.1k
Countries citing papers authored by Shihab Shamma
This map shows the geographic impact of Shihab Shamma'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 Shihab Shamma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shihab Shamma more than expected).
Fields of papers citing papers by Shihab Shamma
This network shows the impact of papers produced by Shihab Shamma. 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 Shihab Shamma. The network helps show where Shihab Shamma may publish in the future.
Co-authorship network of co-authors of Shihab Shamma
This figure shows the co-authorship network connecting the top 25 collaborators of Shihab Shamma. A scholar is included among the top collaborators of Shihab Shamma 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 Shihab Shamma. Shihab Shamma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 62 | |
| 8 | 7 | |
| 9 | 43 | |
| 10 | 73 | |
| 11 | 58 | |
| 12 | 14 | |
| 13 | 94 | |
| 14 | 16 | |
| 15 | A State-Space Model for Decoding Auditory Attentional Modulation from MEG in a Competing-Speaker Environment | 5 |
| 16 | 16 | |
| 17 | 105 | |
| 18 | Creating Virtual Spatial Audio Via Scientific Computing and Computer Vision | 6 |
| 19 | A Functional Model of Primary Auditory Cortex: Spectral Orientation Columns | 4 |
| 20 | Spatial and temporal processing in central auditory networks | 31 |
About Shihab Shamma
Shihab Shamma is a scholar working on Cognitive Neuroscience, Signal Processing and Developmental Biology, having authored 205 papers that have together received 11.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (110 papers), Neuroscience and Music Perception (83 papers) and Hearing Loss and Rehabilitation (77 papers). The work is most often cited by research in Cognitive Neuroscience (8.9k citations), Developmental Biology (719 citations) and Signal Processing (3.1k citations). Shihab Shamma has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jonathan B. Fritz, Mounya Elhilali, Stephen V. David, David J. Klein, Nima Mesgarani, Tai-Shih Chi, Didier A. Depireux, Jonathan Z. Simon, Powen Ru and Christophe Micheyl. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.