Christopher Raphael

1.4k citations
56 papers · 972 · h-index 17

Impact in

Papers in

Christopher Raphael

55 papers receiving 870 citations

Peers

Christopher Raphael
Comparison fields: 5 of 97
  • Signal Processing 681
  • Computer Vision and Pattern Recognition 629
  • Music 45
  • Cognitive Neuroscience 210
  • Artificial Intelligence 133
Replace Luís Gustavo Martins with:
Luís Gustavo Martins Portugal
Dimitris Spathis United Kingdom
Xiaoou Chen China
Eric D. Scheirer United States
F. Pachet Japan
Alberto Abad Portugal
Ascensión Gallardo-Antolín Spain
Shuo Ren China
Eduardo Lleida Spain
Konstantin Markov Japan
Christopher Raphael relative to Luís Gustavo Martins Portugal Luís Gustavo Martins's profile →
Citations per field
00.5×1.5×1.9×
Luís Gustavo Martins · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Christopher Raphael, 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 Raphael Line = papers co-authored together Christopher Raphael links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006165
2 200692
3 200266
4 200462
5 200451
6 200139
7 200238
8 200338
9 202235
10
Music Plus One and Machine Learning
201034
11 200633
12 200133
13
A Bayesian Network for Real-Time Musical Accompaniment
200130
14 201123
15 200919
16 200716
17 200116
18 201013
19
Music Plus One: A System for Expressive and Flexible Musical Accompaniment
200112
20 200711

About Christopher Raphael

Christopher Raphael is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Control and Systems Engineering, having authored 56 papers that have together received 972 indexed citations. Recurring topics across this work include Music and Audio Processing (44 papers), Music Technology and Sound Studies (35 papers), Speech and Audio Processing (22 papers), Neuroscience and Music Perception (9 papers), Blind Source Separation Techniques (4 papers), Time Series Analysis and Forecasting (3 papers), Diverse Musicological Studies (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Signal Processing (681 citations), Computer Vision and Pattern Recognition (629 citations), Music (45 citations), Cognitive Neuroscience (210 citations) and Artificial Intelligence (133 citations). Christopher Raphael has collaborated with scholars based in United States, Indonesia and Malaysia. Frequent co-authors include Roger B. Dannenberg, David Pober, John Staudenmayer, Patty S. Freedson, Jingya Wang, Eric Nichols, Wen-Shan Lin, Rong Jin, Dan Morris and Sumit Basu. Their work appears in journals such as Computer Music Journal, Communications of the ACM, Journal of New Music Research, The Journal of the Acoustical Society of America and Journal of Computational and Graphical Statistics.

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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