Emily M. Mugler
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Marc W. SlutzkyDean J. KrusienskiMatthew C. TateMichael BenschAndrea KüblerSebastian HalderChristian HerffTanja Schultz
- Topics
- EEG and Brain-Computer Interfaces (13 papers)Neural dynamics and brain function (6 papers)Neuroscience and Neural Engineering (4 papers)
- Partner nations
- United StatesPhilippinesGermany
In The Last Decade
Emily M. Mugler
19 papers receiving 704 citations
Peers
Comparison fields: 5 of 63
- Cognitive Neuroscience 587
- Cellular and Molecular Neuroscience 227
- Electrical and Electronic Engineering 124
- Signal Processing 114
- Biomedical Engineering 94
Countries citing papers authored by Emily M. Mugler
This map shows the geographic impact of Emily M. Mugler'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 Emily M. Mugler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emily M. Mugler more than expected).
Fields of papers citing papers by Emily M. Mugler
This network shows the impact of papers produced by Emily M. Mugler. 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 Emily M. Mugler. The network helps show where Emily M. Mugler may publish in the future.
Co-authorship network of co-authors of Emily M. Mugler
This figure shows the co-authorship network connecting the top 25 collaborators of Emily M. Mugler. A scholar is included among the top collaborators of Emily M. Mugler 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 Emily M. Mugler. Emily M. Mugler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 17 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 76 | |
| 10 | 140 | |
| 11 | 37 | |
| 12 | 72 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 147 | |
| 16 | Investigation of Speech for Communicative Brain-Computer Interface | 1 |
| 17 | 9 | |
| 18 | 120 | |
| 19 | Control of an Internet Browser Using the P300 Event- Related Potential | 49 |
About Emily M. Mugler
Emily M. Mugler is a scholar working on Cognitive Neuroscience, Rehabilitation and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 727 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Neural dynamics and brain function (6 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Cognitive Neuroscience (587 citations), Human-Computer Interaction (92 citations) and Cellular and Molecular Neuroscience (227 citations). Emily M. Mugler has collaborated with scholars based in United States, Philippines and Germany. Frequent co-authors include Marc W. Slutzky, Dean J. Krusienski, Matthew C. Tate, Michael Bensch, Andrea Kübler, Sebastian Halder, Christian Herff, Tanja Schultz, Miguel Angrick and Matthew Goldrick. Their work appears in journals such as Nature Communications, Journal of Neuroscience and Scientific Reports.
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.