Christopher Dobrian

432 citations
10 papers · 209 indexed · h-index 4
Journals
Notes (1 paper)New Interfaces for Musical Expression (1 paper)eScholarship (California Digital Library) (5 papers)
Partner nations
United States

In The Last Decade

Christopher Dobrian

8 papers receiving 152 citations

Peers

Christopher Dobrian
Comparison fields: 5 of 55
  • Signal Processing 104
  • Human-Computer Interaction 46
  • Computer Vision and Pattern Recognition 162
  • Music 16
  • Cognitive Neuroscience 90
Replace David Zicarelli with:
David Zicarelli United States
Arne Eigenfeldt Canada
Jean-Loup Florens France
Axel Mulder Canada
Ross Kirk United Kingdom
Tristan Jehan United States
Claude Cadoz France
Claude Cadoz France
Diemo Schwarz France
Olivier Delerue France
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Dobrian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Christopher Dobrian Line = papers co-authored together Christopher Dobrian links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Intentional Inclusion :Promoting Diversity in Graduate Study of Music Technology
20171
2
A METHOD FOR COMPUTER CHARACTERIZATION OF "GESTURE" IN MUSICAL IMPROVISATION
20120
3
Techniques for Polytemporal Composition
20122
4 200675
5
Cultural ‘Content’ in Korean Music Made with Computers
20041
6 200331
7
Aesthetic Considerations in the Use of “Virtual” Music Instruments
20039
8
The Gassmann Electronic Music Studio University of California at Irvine
20001
9 199889
10
Algorithmic Generation of Temporal Forms: Hierarchical Organization of Stasis and Transition
19950

About Christopher Dobrian

Christopher Dobrian is a scholar working on Signal Processing, Music and Computer Vision and Pattern Recognition, 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 (104 citations), Human-Computer Interaction (46 citations) and Computer Vision and Pattern Recognition (162 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, New Interfaces for Musical Expression, 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.

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