John C. Schelleng
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Electronic, Optical and Magnetic Materials
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics
- Co-authors
- D. W. ForesterF. J. RachfordDouglas L. SmithPaul E. SchoenR. R. PriceDan ZabetakisM. J. KeskinenL.N. Medgyesi-Mitschang
- Topics
- Music Technology and Sound Studies (7 papers)Music and Audio Processing (3 papers)Diverse Musicological Studies (3 papers)
- Journals
- Journal of Applied PhysicsThe Journal of the Acoustical Society of AmericaScientific American
- Partner nations
- United States
In The Last Decade
John C. Schelleng
12 papers receiving 314 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 167
- Signal Processing 95
- Electronic, Optical and Magnetic Materials 94
- Biomedical Engineering 90
- Atomic and Molecular Physics, and Optics 85
Countries citing papers authored by John C. Schelleng
This map shows the geographic impact of John C. Schelleng'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 John C. Schelleng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Schelleng more than expected).
Fields of papers citing papers by John C. Schelleng
This network shows the impact of papers produced by John C. Schelleng. 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 John C. Schelleng. The network helps show where John C. Schelleng may publish in the future.
Co-authorship network of co-authors of John C. Schelleng
This figure shows the co-authorship network connecting the top 25 collaborators of John C. Schelleng. A scholar is included among the top collaborators of John C. Schelleng 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 John C. Schelleng. John C. Schelleng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 70 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 9 | |
| 6 | 34 | |
| 7 | 16 | |
| 8 | 108 | |
| 9 | 2 | |
| 10 | 28 | |
| 11 | A New Concert Violin | 1 |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 53 |
About John C. Schelleng
John C. Schelleng is a scholar working on Music, Computer Vision and Pattern Recognition and Rehabilitation, having authored 14 papers that have together received 369 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (7 papers), Music and Audio Processing (3 papers) and Diverse Musicological Studies (3 papers). The work is most often cited by research in Signal Processing (95 citations), Computer Vision and Pattern Recognition (167 citations) and Music (18 citations). John C. Schelleng has collaborated with scholars based in United States. Frequent co-authors include D. W. Forester, F. J. Rachford, Douglas L. Smith, Paul E. Schoen, R. R. Price, Dan Zabetakis, M. J. Keskinen, L.N. Medgyesi-Mitschang, César Monzón and Daniel W. Martin. Their work appears in journals such as Journal of Applied Physics, The Journal of the Acoustical Society of America and Scientific American.
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.