Christopher Dobrian
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
- Innovative Human-Technology Interaction
Papers in
-
- Music Technology and Sound Studies 9
-
- Music and Audio Processing 7
- Co-authors
- Charles Richards Dodge (1 shared paper)Frédéric Bevilacqua (1 shared paper)Molly Morgan Jones (1 shared paper)
- Journals
- Notes (1 paper)eScholarship (California Digital Library) (6 papers)The Journal of the Abraham Lincoln Association (2 papers)
- Partner nations
- United States
In The Last Decade
Christopher Dobrian
8 papers receiving 152 citations
Peers
Comparison fields: 5 of 55
- Signal Processing 103
- Human-Computer Interaction 46
- Computer Vision and Pattern Recognition 162
- Music 16
- Cognitive Neuroscience 90
Countries citing papers authored by Christopher Dobrian
This map shows the geographic impact of Christopher Dobrian'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 Christopher Dobrian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Dobrian more than expected).
Fields of papers citing papers by Christopher Dobrian
This network shows the impact of papers produced by Christopher Dobrian. 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 Christopher Dobrian. The network helps show where Christopher Dobrian may publish in the future.
Co-authors
The 3 scholars most cited alongside Christopher Dobrian, 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 | 1998 | 88 | |
| 2 | 2006 | 76 | |
| 3 | 2003 | 31 | |
| 4 | Aesthetic Considerations in the Use of “Virtual” Music Instruments | 2003 | 9 |
| 5 | Techniques for Polytemporal Composition | 2012 | 2 |
| 6 | Intentional Inclusion :Promoting Diversity in Graduate Study of Music Technology | 2017 | 1 |
| 7 | The Gassmann Electronic Music Studio University of California at Irvine | 2000 | 1 |
| 8 | Cultural ‘Content’ in Korean Music Made with Computers | 2004 | 1 |
| 9 | Algorithmic Generation of Temporal Forms: Hierarchical Organization of Stasis and Transition | 1995 | 0 |
| 10 | A METHOD FOR COMPUTER CHARACTERIZATION OF "GESTURE" IN MUSICAL IMPROVISATION | 2012 | 0 |
About Christopher Dobrian
Christopher Dobrian is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Music and Infectious Diseases, having authored 10 papers that have together received 209 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (9 papers), Music and Audio Processing (7 papers), Neuroscience and Music Perception (4 papers) and Diverse Music Education Insights (2 papers). The work is most often cited by research in Signal Processing (103 citations), Human-Computer Interaction (46 citations), Computer Vision and Pattern Recognition (162 citations), Music (16 citations) and Cognitive Neuroscience (90 citations). Christopher Dobrian has collaborated with scholars based in United States. Frequent co-authors include Charles Richards Dodge, Frédéric Bevilacqua and Molly Morgan Jones. Their work appears in journals such as Notes, eScholarship (California Digital Library) and The Journal of the Abraham Lincoln Association.
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.