Stephanie Naufel
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Lee E. MillerMatthew G. PerichChristian ÉthierJuan Álvaro GallegoSara A. SollaEran KleinKonrad P. KördingEric J. Perreault
- Topics
- EEG and Brain-Computer Interfaces (10 papers)Muscle activation and electromyography studies (7 papers)Neuroscience and Neural Engineering (7 papers)
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Stephanie Naufel
16 papers receiving 375 citations
Peers
Comparison fields: 5 of 65
- Cognitive Neuroscience 284
- Cellular and Molecular Neuroscience 156
- Biomedical Engineering 112
- Electrical and Electronic Engineering 36
- Artificial Intelligence 29
Countries citing papers authored by Stephanie Naufel
This map shows the geographic impact of Stephanie Naufel'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 Stephanie Naufel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephanie Naufel more than expected).
Fields of papers citing papers by Stephanie Naufel
This network shows the impact of papers produced by Stephanie Naufel. 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 Stephanie Naufel. The network helps show where Stephanie Naufel may publish in the future.
Co-authorship network of co-authors of Stephanie Naufel
This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Naufel. A scholar is included among the top collaborators of Stephanie Naufel 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 Stephanie Naufel. Stephanie Naufel 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 | 1 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 23 | |
| 8 | 25 | |
| 9 | 24 | |
| 10 | 160 | |
| 11 | 33 | |
| 12 | 31 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 17 |
About Stephanie Naufel
Stephanie Naufel is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 16 papers that have together received 380 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (10 papers), Muscle activation and electromyography studies (7 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Cognitive Neuroscience (284 citations), Cellular and Molecular Neuroscience (156 citations) and Human-Computer Interaction (14 citations). Stephanie Naufel has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Lee E. Miller, Matthew G. Perich, Christian Éthier, Juan Álvaro Gallego, Sara A. Solla, Eran Klein, Konrad P. Körding, Eric J. Perreault, Joshua I. Glaser and Hugo L. Fernandes. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.