Edward W. Large
Impact in
- Cognitive Neuroscience top 0.2%
- Neuroscience and Music Perception
- Neural dynamics and brain function
- Hearing Loss and Rehabilitation
- EEG and Brain-Computer Interfaces
- Music top 0.2%
Papers in
-
- Neuroscience and Music Perception 54
- Neural dynamics and brain function 45
- Hearing Loss and Rehabilitation 14
- EEG and Brain-Computer Interfaces 9
- Co-authors
- Mari Riess JonesJoel S. SnyderTakako FujiokaLaurel J. TrainorBernhard RoßJohn F. KolenCaroline PalmėrPhilip W. Fink
- Journals
- The Journal of the Acoustical Society of America (6 papers)Annals of the New York Academy of Sciences (6 papers)Music Perception An Interdisciplinary Journal (6 papers)Frontiers in Psychology (4 papers)Cognitive Science (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Edward W. Large
84 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cognitive Neuroscience 4.2k
- Music 395
- Developmental Biology 226
- Signal Processing 1.0k
- Experimental and Cognitive Psychology 1.2k
Countries citing papers authored by Edward W. Large
This map shows the geographic impact of Edward W. Large'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 Edward W. Large with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward W. Large more than expected).
Fields of papers citing papers by Edward W. Large
This network shows the impact of papers produced by Edward W. Large. 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 Edward W. Large. The network helps show where Edward W. Large may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward W. Large, 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 | 2023 | 1 | |
| 2 | 2023 | 27 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 13 | |
| 5 | 2020 | 9 | |
| 6 | 2018 | 19 | |
| 7 | 2017 | 98 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 39 | |
| 10 | 2015 | 62 | |
| 11 | 2014 | 14 | |
| 12 | 2014 | 16 | |
| 13 | 2011 | 57 | |
| 14 | 2009 | 174 | |
| 15 | 2009 | 1 | |
| 16 | 2005 | 9 | |
| 17 | 2005 | 186 | |
| 18 | 1999 | 3 | |
| 19 | Dynamic representation of musical structure | 1994 | 20 |
| 20 | 1978 | 2 |
About Edward W. Large
Edward W. Large is a scholar working on Cognitive Neuroscience, Developmental Biology, Signal Processing, Music and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 4.7k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (54 papers), Neural dynamics and brain function (45 papers), Music and Audio Processing (18 papers), Hearing Loss and Rehabilitation (14 papers), Music Technology and Sound Studies (12 papers), EEG and Brain-Computer Interfaces (9 papers), Neural Networks and Applications (8 papers) and Multisensory perception and integration (8 papers). The work is most often cited by research in Cognitive Neuroscience (4.2k citations), Music (395 citations), Developmental Biology (226 citations), Signal Processing (1.0k citations) and Experimental and Cognitive Psychology (1.2k citations). Edward W. Large has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mari Riess Jones, Joel S. Snyder, Takako Fujioka, Laurel J. Trainor, Bernhard Roß, John F. Kolen, Caroline Palmėr, Philip W. Fink, Ji Chul Kim and Scott Kelso. Their work appears in journals such as The Journal of the Acoustical Society of America, Annals of the New York Academy of Sciences, Music Perception An Interdisciplinary Journal, Frontiers in Psychology and Cognitive Science.
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.