Evan C. Smith
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Music and Audio Processing
- Developmental Biology top 10%
Papers in
-
- Hearing Loss and Rehabilitation 3
- Neural dynamics and brain function 3
-
- Blind Source Separation Techniques 2
- Co-authors
- Michael S. Lewicki (3 shared papers)Brian D. Kangas (1 shared paper)Rajeev I. Desai (2 shared papers)Charles L. Limoli (1 shared paper)Xiaoyu Ma (1 shared paper)Subhamoy Chatterjee (1 shared paper)M. A. Dayeh (1 shared paper)Andrés Muñoz‐Jaramillo (1 shared paper)
- Journals
- Neural Computation (1 paper)Nature Communications (1 paper)PLoS ONE (1 paper)Nature (1 paper)Neural Information Processing Systems (1 paper)
- Partner nations
- United StatesGreece
In The Last Decade
Evan C. Smith
5 papers receiving 505 citations
Peers
Comparison fields: 5 of 77
- Signal Processing 205
- Developmental Biology 35
- Cognitive Neuroscience 281
- Sensory Systems 23
- Computational Mathematics 3
Countries citing papers authored by Evan C. Smith
This map shows the geographic impact of Evan C. Smith'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 Evan C. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan C. Smith more than expected).
Fields of papers citing papers by Evan C. Smith
This network shows the impact of papers produced by Evan C. Smith. 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 Evan C. Smith. The network helps show where Evan C. Smith may publish in the future.
Co-authors
The 12 scholars most cited alongside Evan C. Smith, 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 | 2006 | 430 | |
| 2 | 2004 | 89 | |
| 3 | 2023 | 10 | |
| 4 | Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters | 2004 | 9 |
| 5 | 2025 | 1 |
About Evan C. Smith
Evan C. Smith is a scholar working on Cognitive Neuroscience, Signal Processing, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Computational Mechanics, having authored 5 papers that have together received 539 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (3 papers), Neural dynamics and brain function (3 papers), Blind Source Separation Techniques (2 papers), Neuroscience and Neural Engineering (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Vagus Nerve Stimulation Research (1 paper), Anesthesia and Neurotoxicity Research (1 paper) and Spaceflight effects on biology (1 paper). The work is most often cited by research in Signal Processing (205 citations), Developmental Biology (35 citations), Cognitive Neuroscience (281 citations), Sensory Systems (23 citations) and Computational Mathematics (3 citations). Evan C. Smith has collaborated with scholars based in United States and Greece. Frequent co-authors include Michael S. Lewicki, Brian D. Kangas, Rajeev I. Desai, Charles L. Limoli, Xiaoyu Ma, Subhamoy Chatterjee, M. A. Dayeh, Andrés Muñoz‐Jaramillo, M. I. Desai and Alexandros Makriyannis. Their work appears in journals such as Neural Computation, Nature Communications, PLoS ONE, Nature and Neural Information Processing 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.