Taliah Muhammad
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- Cell Image Analysis Techniques
Papers in
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- Neural dynamics and brain function 3
- Visual perception and processing mechanisms 3
- Face Recognition and Perception 2
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- Neuroscience and Neuropharmacology Research 1
- Co-authors
- Emmanouil Froudarakis (4 shared papers)Andreas S. Tolias (5 shared papers)Fabian H. Sinz (5 shared papers)Jacob Reimer (3 shared papers)Edgar Y. Walker (3 shared papers)Erick Cobos (3 shared papers)Alexander S. Ecker (2 shared papers)Paul G. Fahey (1 shared paper)
- Journals
- Nature (1 paper)Cell Reports (1 paper)Nature Neuroscience (1 paper)GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Taliah Muhammad
5 papers receiving 128 citations
Peers
Comparison fields: 5 of 27
- Cognitive Neuroscience 110
- Biophysics 17
- Cellular and Molecular Neuroscience 39
- Sensory Systems 5
- Artificial Intelligence 13
Countries citing papers authored by Taliah Muhammad
This map shows the geographic impact of Taliah Muhammad'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 Taliah Muhammad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taliah Muhammad more than expected).
Fields of papers citing papers by Taliah Muhammad
This network shows the impact of papers produced by Taliah Muhammad. 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 Taliah Muhammad. The network helps show where Taliah Muhammad may publish in the future.
Co-authors
The 19 scholars most cited alongside Taliah Muhammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 92 | |
| 2 | 2022 | 26 | |
| 3 | How well do deep neural networks trained on object recognition characterize the mouse visual system | 2019 | 10 |
| 4 | 2024 | 1 | |
| 5 | 2019 | 1 |
About Taliah Muhammad
Taliah Muhammad is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence and Sensory Systems, having authored 5 papers that have together received 130 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Visual perception and processing mechanisms (3 papers), Face Recognition and Perception (2 papers), Cell Image Analysis Techniques (1 paper), CCD and CMOS Imaging Sensors (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Adversarial Robustness in Machine Learning (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Cognitive Neuroscience (110 citations), Biophysics (17 citations), Cellular and Molecular Neuroscience (39 citations), Sensory Systems (5 citations) and Artificial Intelligence (13 citations). Taliah Muhammad has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Emmanouil Froudarakis, Andreas S. Tolias, Fabian H. Sinz, Jacob Reimer, Edgar Y. Walker, Erick Cobos, Alexander S. Ecker, Paul G. Fahey, Xaq Pitkow and Na Zhou. Their work appears in journals such as Nature, Cell Reports, Nature Neuroscience, GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) and arXiv (Cornell University).
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.