Chris Cannam

790 total citations
8 papers, 490 citations indexed

About

Chris Cannam is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Music. According to data from OpenAlex, Chris Cannam has authored 8 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Music. Recurrent topics in Chris Cannam's work include Music and Audio Processing (8 papers), Music Technology and Sound Studies (7 papers) and Speech and Audio Processing (3 papers). Chris Cannam is often cited by papers focused on Music and Audio Processing (8 papers), Music Technology and Sound Studies (7 papers) and Speech and Audio Processing (3 papers). Chris Cannam collaborates with scholars based in United Kingdom, Switzerland and China. Chris Cannam's co-authors include M. Sandler, Juan Pablo Bello, Rachel Bittner, Justin Salamon, Matthias Mauch, György Fazekas, Simon Dixon, Jia Le Dai, Christophe Rhodes and Mark d’Inverno and has published in prestigious journals such as Journal of New Music Research, Queen Mary Research Online (Queen Mary University of London) and International Symposium/Conference on Music Information Retrieval.

In The Last Decade

Chris Cannam

8 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Cannam United Kingdom	5	392	298	143	75	67	8	490
Óscar Mayor Spain	8	324 0.8×	259 0.9×	132 0.9×	44 0.6×	46 0.7×	19	401
Sankalp Gulati Spain	12	537 1.4×	404 1.4×	206 1.4×	58 0.8×	65 1.0×	26	579
Anja Volk Netherlands	14	512 1.3×	436 1.5×	297 2.1×	57 0.8×	138 2.1×	69	640
Martin F. McKinney United States	13	616 1.6×	405 1.4×	292 2.0×	82 1.1×	39 0.6×	34	773
Thomas Lidy Austria	10	376 1.0×	373 1.3×	60 0.4×	69 0.9×	39 0.6×	24	509
Parag Chordia United States	11	302 0.8×	241 0.8×	256 1.8×	41 0.5×	42 0.6×	22	480
Andreas F. Ehmann United States	12	600 1.5×	428 1.4×	153 1.1×	127 1.7×	51 0.8×	24	661
Nicolas Wack Spain	10	477 1.2×	373 1.3×	116 0.8×	65 0.9×	41 0.6×	20	536
Frederic Font Spain	9	346 0.9×	192 0.6×	72 0.5×	125 1.7×	22 0.3×	23	464
Christopher Harte United Kingdom	6	363 0.9×	289 1.0×	119 0.8×	60 0.8×	39 0.6×	15	407

Countries citing papers authored by Chris Cannam

Since Specialization

Citations

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

Fields of papers citing papers by Chris Cannam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Cannam

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cannam, Chris, et al.. (2017). Piper: Audio Feature Extraction in Browser and Mobile Applications. Queen Mary Research Online (Queen Mary University of London). 3 indexed citations

2.

Mauch, Matthias, Chris Cannam, Rachel Bittner, et al.. (2015). Computer-Aided Melody Note Transcription Using The Tony Software: Accuracy And Efficiency. Queen Mary Research Online (Queen Mary University of London). 65 indexed citations

3.

Bittner, Rachel, et al.. (2014). Medleydb: A Multitrack Dataset For Annotation-Intensive Mir Research.. Zenodo (CERN European Organization for Nuclear Research). 155–160. 146 indexed citations

4.

Bittner, Rachel, et al.. (2014). MedleyDB: A multitrack dataset for annotation-intensive MIR research. 15th International Society for Music Information Retrieval Conference, ISMIR 2014. 1 indexed citations

5.

Cannam, Chris, et al.. (2012). Sound Software: Towards software reuse in audio and music research. 2745–2748. 3 indexed citations

6.

Cannam, Chris, et al.. (2010). Sonic visualiser. 1467–1468. 160 indexed citations

7.

Cannam, Chris, et al.. (2010). Linked Data and You: Bringing Music Research Software into the Semantic Web. Journal of New Music Research. 39(4). 313–325. 35 indexed citations

8.

Cannam, Chris, et al.. (2006). The Sonic Visualiser: A Visualisation Platform for Semantic Descriptors from Musical Signals.. International Symposium/Conference on Music Information Retrieval. 324–327. 77 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.

Explore authors with similar magnitude of impact