Martin Norgaard
- Cognitive Neuroscience top 10%
- Music top 1%
- Social Psychology
- Experimental and Cognitive Psychology
- Computer Vision and Pattern Recognition
- Co-authors
- Mukesh DhamalaBhim M. AdhikariRoger E. BeatyJonathan SpencerDaniel J. WeissRobyn L. MillerVince D. CalhounMaryellen C. MacDonald
- Topics
- Neuroscience and Music Perception (18 papers)Diverse Music Education Insights (11 papers)Music Technology and Sound Studies (8 papers)
- Partner nations
- United StatesDenmarkIsrael
In The Last Decade
Martin Norgaard
21 papers receiving 246 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 224
- Music 136
- Social Psychology 77
- Experimental and Cognitive Psychology 60
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Martin Norgaard
This map shows the geographic impact of Martin Norgaard'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 Martin Norgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Norgaard more than expected).
Fields of papers citing papers by Martin Norgaard
This network shows the impact of papers produced by Martin Norgaard. 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 Martin Norgaard. The network helps show where Martin Norgaard may publish in the future.
Co-authorship network of co-authors of Martin Norgaard
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Norgaard. A scholar is included among the top collaborators of Martin Norgaard 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 Martin Norgaard. Martin Norgaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 9 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 15 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 14 | |
| 15 | 16 | |
| 16 | 12 | |
| 17 | Chords not required: Incorporating horizontal and vertical aspects independently in a computer improvisation algorithm | 1 |
| 18 | 79 | |
| 19 | 1 | |
| 20 | 0 |
About Martin Norgaard
Martin Norgaard is a scholar working on Music, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 269 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (18 papers), Diverse Music Education Insights (11 papers) and Music Technology and Sound Studies (8 papers). The work is most often cited by research in Music (136 citations), Cognitive Neuroscience (224 citations) and Experimental and Cognitive Psychology (60 citations). Martin Norgaard has collaborated with scholars based in United States, Denmark and Israel. Frequent co-authors include Mukesh Dhamala, Bhim M. Adhikari, Roger E. Beaty, Jonathan Spencer, Daniel J. Weiss, Robyn L. Miller, Vince D. Calhoun, Maryellen C. MacDonald, Michelle Thomas and Victor M. Vergara. Their work appears in journals such as Scientific Reports, Annals of the New York Academy of Sciences and Cognition.
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.