Leonard G. Ratner
- Music top 0.5%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Experimental and Cognitive Psychology
- Co-authors
- John DaverioJohn W. HillMichael J. Collins
- Topics
- Musicology and Musical Analysis (8 papers)Neuroscience and Music Perception (3 papers)Diverse Musicological Studies (3 papers)
- Journals
- Michigan Law ReviewThe University of Chicago Law ReviewUniversity of Pennsylvania Law Review
- Partner nations
- United StatesIsrael
In The Last Decade
Leonard G. Ratner
13 papers receiving 153 citations
Hit Papers
Peers
Comparison fields: 5 of 41
- Music 185
- Cognitive Neuroscience 111
- Computer Vision and Pattern Recognition 65
- Signal Processing 52
- Experimental and Cognitive Psychology 33
Countries citing papers authored by Leonard G. Ratner
This map shows the geographic impact of Leonard G. Ratner'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 Leonard G. Ratner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard G. Ratner more than expected).
Fields of papers citing papers by Leonard G. Ratner
This network shows the impact of papers produced by Leonard G. Ratner. 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 Leonard G. Ratner. The network helps show where Leonard G. Ratner may publish in the future.
Co-authorship network of co-authors of Leonard G. Ratner
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard G. Ratner. A scholar is included among the top collaborators of Leonard G. Ratner 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 Leonard G. Ratner. Leonard G. Ratner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 11 | |
| 3 | The Utilitarian Imperative: Autonomy, Reciprocity, and Evolution | 0 |
| 4 | The musical experience | 1 |
| 5 | The Musical Experience: Sound, Movement, and Arrival | 4 |
| 6 | 4 | |
| 7 | 32 | |
| 8 | Majoritarian Constraints on Judicial Review: Congressional Control of Supreme Court Jurisdiction | 1 |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 9 |
About Leonard G. Ratner
Leonard G. Ratner is a scholar working on Music, Law and Religious studies, having authored 22 papers that have together received 296 indexed citations. Recurring topics across this work include Musicology and Musical Analysis (8 papers), Neuroscience and Music Perception (3 papers) and Diverse Musicological Studies (3 papers). The work is most often cited by research in Music (185 citations), Cognitive Neuroscience (111 citations) and Signal Processing (52 citations). Leonard G. Ratner has collaborated with scholars based in United States and Israel. Frequent co-authors include John Daverio, John W. Hill and Michael J. Collins. Their work appears in journals such as Michigan Law Review, The University of Chicago Law Review and University of Pennsylvania Law Review.
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.