Christopher Raphael

1.3k total citations
49 papers, 834 citations indexed

About

Christopher Raphael is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Christopher Raphael has authored 49 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Signal Processing, 38 papers in Computer Vision and Pattern Recognition and 10 papers in Cognitive Neuroscience. Recurrent topics in Christopher Raphael's work include Music and Audio Processing (41 papers), Music Technology and Sound Studies (34 papers) and Speech and Audio Processing (21 papers). Christopher Raphael is often cited by papers focused on Music and Audio Processing (41 papers), Music Technology and Sound Studies (34 papers) and Speech and Audio Processing (21 papers). Christopher Raphael collaborates with scholars based in United States, Malaysia and Israel. Christopher Raphael's co-authors include Roger B. Dannenberg, David Pober, Patty S. Freedson, John Staudenmayer, Jingya Wang, Eric Nichols, Sumit Basu, Dan Morris, Guy Shani and Rong Jin and has published in prestigious journals such as Communications of the ACM, Medicine & Science in Sports & Exercise and The Journal of the Acoustical Society of America.

In The Last Decade

Christopher Raphael

49 papers receiving 756 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christopher Raphael United States 15 612 569 181 105 102 49 834
Gérard Chollet France 17 773 1.3× 287 0.5× 70 0.4× 669 6.4× 56 0.5× 143 1.1k
Barış Bozkurt Türkiye 16 669 1.1× 295 0.5× 138 0.8× 393 3.7× 134 1.3× 57 940
Xavier Rodet France 19 767 1.3× 489 0.9× 182 1.0× 352 3.4× 34 0.3× 93 1.1k
Inma Hernáez Spain 18 1.1k 1.9× 565 1.0× 45 0.2× 1.1k 10.1× 100 1.0× 93 1.7k
J.N. Gowdy United States 13 582 1.0× 285 0.5× 53 0.3× 263 2.5× 10 0.1× 53 752
Namunu C. Maddage Australia 18 716 1.2× 513 0.9× 115 0.6× 266 2.5× 47 0.5× 38 1.0k
Jordi Bonada Spain 19 840 1.4× 491 0.9× 178 1.0× 337 3.2× 21 0.2× 71 921
Eric D. Scheirer United States 12 1.2k 2.0× 924 1.6× 270 1.5× 203 1.9× 9 0.1× 21 1.4k
James W. Beauchamp United States 13 541 0.9× 418 0.7× 209 1.2× 86 0.8× 8 0.1× 76 703
Eduardo Lleida Spain 18 850 1.4× 159 0.3× 35 0.2× 984 9.4× 139 1.4× 145 1.3k

Countries citing papers authored by Christopher Raphael

Since Specialization
Citations

This map shows the geographic impact of Christopher Raphael'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 Raphael with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Raphael more than expected).

Fields of papers citing papers by Christopher Raphael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Raphael. 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 Raphael. The network helps show where Christopher Raphael may publish in the future.

Co-authorship network of co-authors of Christopher Raphael

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Raphael. A scholar is included among the top collaborators of Christopher Raphael 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 Christopher Raphael. Christopher Raphael is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
McDonald, Daniel J., et al.. (2019). Markov-switching State Space Models for Uncovering Musical Interpretation. arXiv (Cornell University). 1 indexed citations
2.
Raphael, Christopher & Rong Jin. (2013). Optical music recognition on the International Music Score Library Project. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9021. 90210F–90210F. 2 indexed citations
3.
Raphael, Christopher, et al.. (2010). Informed source separation of orchestra and soloist using masking and unmasking.. Conference of the International Speech Communication Association. 31–36. 2 indexed citations
4.
Raphael, Christopher, et al.. (2010). Informed Source Separation Of Orchestra And Soloist.. Zenodo (CERN European Organization for Nuclear Research). 315–320. 7 indexed citations
5.
Raphael, Christopher, et al.. (2009). Orchestral Accompaniment for a Reproducing Piano. The Journal of the Abraham Lincoln Association. 2009. 4 indexed citations
6.
Raphael, Christopher. (2009). Representation and synthesis of melodic expression. International Joint Conference on Artificial Intelligence. 49(3). 1475–1480. 5 indexed citations
7.
Raphael, Christopher. (2009). Current Directions With Musical Plus One. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Nichols, Eric, et al.. (2007). A Simple Algorithm for Automatic Generation of Polyphonic Piano Fingerings.. Zenodo (CERN European Organization for Nuclear Research). 355–356. 14 indexed citations
9.
Raphael, Christopher, et al.. (2007). Pitch Spelling With Conditionally Independent Voices.. Zenodo (CERN European Organization for Nuclear Research). 201–206. 2 indexed citations
10.
Raphael, Christopher. (2006). Demonstration of music plus one: a real-time system for automatic orchestral accompaniment. National Conference on Artificial Intelligence. 1951–1952. 1 indexed citations
11.
Pober, David, John Staudenmayer, Christopher Raphael, & Patty S. Freedson. (2006). Development of Novel Techniques to Classify Physical Activity Mode Using Accelerometers. Medicine & Science in Sports & Exercise. 38(9). 1626–1634. 157 indexed citations
12.
Raphael, Christopher. (2006). Aligning music audio with symbolic scores using a hybrid graphical model. Machine Learning. 65(2-3). 389–409. 31 indexed citations
13.
Raphael, Christopher, et al.. (2004). Well-Tempered Spelling: A Key Invariant Pitch Spelling Algorithm.. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
14.
Raphael, Christopher. (2003). Orchestral Musical Accompaniment from Synthesized Audio. The Journal of the Abraham Lincoln Association. 2003. 4 indexed citations
15.
Raphael, Christopher, et al.. (2003). Harmonic Analysis With Probabilistic Graphical Models.. Zenodo (CERN European Organization for Nuclear Research). 34 indexed citations
16.
Raphael, Christopher. (2002). A hybrid graphical model for rhythmic parsing. Artificial Intelligence. 137(1-2). 217–238. 33 indexed citations
17.
Raphael, Christopher. (2001). Can the Computer Learn to Play Music Expressively. International Conference on Artificial Intelligence and Statistics. 251–258. 3 indexed citations
18.
Raphael, Christopher. (2001). Music Plus One: A System for Expressive and Flexible Musical Accompaniment. The Journal of the Abraham Lincoln Association. 2001. 11 indexed citations
19.
Raphael, Christopher. (2001). A Bayesian Network for Real-Time Musical Accompaniment. Neural Information Processing Systems. 14. 1433–1439. 26 indexed citations
20.
Raphael, Christopher. (1992). Radiation theraphy treatment planning: an 2 approach. Applied Mathematics and Computation. 52(2-3). 251–277. 2 indexed citations

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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