Mark A. Schmuckler
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 2%
- Developmental and Educational Psychology top 2%
- Signal Processing top 2%
- Social Psychology top 5%
- Co-authors
- Eleanor J. GibsonLawrence D. RosenblumJennifer A. JohnsonThomas A. StoffregenJon B. PrinceGary E. RiccioMarilyn G. BoltzWilliam Forde Thompson
- Topics
- Neuroscience and Music Perception (28 papers)Music and Audio Processing (21 papers)Child and Animal Learning Development (18 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Mark A. Schmuckler
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 130
- Cognitive Neuroscience 1.4k
- Experimental and Cognitive Psychology 566
- Developmental and Educational Psychology 528
- Signal Processing 448
- Social Psychology 345
Countries citing papers authored by Mark A. Schmuckler
This map shows the geographic impact of Mark A. Schmuckler'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 Mark A. Schmuckler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Schmuckler more than expected).
Fields of papers citing papers by Mark A. Schmuckler
This network shows the impact of papers produced by Mark A. Schmuckler. 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 Mark A. Schmuckler. The network helps show where Mark A. Schmuckler may publish in the future.
Co-authorship network of co-authors of Mark A. Schmuckler
This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. Schmuckler. A scholar is included among the top collaborators of Mark A. Schmuckler 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 Mark A. Schmuckler. Mark A. Schmuckler 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 22 | |
| 11 | Cross-modal melodic contour similarity | 6 |
| 12 | 60 | |
| 13 | 15 | |
| 14 | 16 | |
| 15 | 352 | |
| 16 | 234 | |
| 17 | 22 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 2 |
About Mark A. Schmuckler
Mark A. Schmuckler is a scholar working on Music, Cognitive Neuroscience and Physical Therapy, Sports Therapy and Rehabilitation, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (28 papers), Music and Audio Processing (21 papers) and Child and Animal Learning Development (18 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Music (166 citations) and Experimental and Cognitive Psychology (566 citations). Mark A. Schmuckler has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Eleanor J. Gibson, Lawrence D. Rosenblum, Jennifer A. Johnson, Thomas A. Stoffregen, Jon B. Prince, Gary E. Riccio, Marilyn G. Boltz, William Forde Thompson, David L. Gilden and et al.. Their work appears in journals such as Psychological Review, Child Development and Psychological 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.