Justin London

2.9k total citations
62 papers, 1.7k citations indexed

About

Justin London is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Justin London has authored 62 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 20 papers in Signal Processing and 19 papers in Computer Vision and Pattern Recognition. Recurrent topics in Justin London's work include Neuroscience and Music Perception (40 papers), Music Technology and Sound Studies (19 papers) and Music and Audio Processing (19 papers). Justin London is often cited by papers focused on Neuroscience and Music Perception (40 papers), Music Technology and Sound Studies (19 papers) and Music and Audio Processing (19 papers). Justin London collaborates with scholars based in United States, Germany and Finland. Justin London's co-authors include Rainer Polak, Bruno H. Repp, Peter E. Keller, Daniel J. Levitin, Jessica A. Grahn, Nori Jacoby, Marc R. Thompson, Birgitta Burger, Petri Toiviainen and Anne Danielsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Philosophical Transactions of the Royal Society B Biological Sciences and Annual Review of Psychology.

In The Last Decade

Justin London

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin London United States 19 1.4k 594 468 414 389 62 1.7k
Eric Clarke United Kingdom 26 1.6k 1.2× 587 1.0× 825 1.8× 655 1.6× 430 1.1× 68 2.2k
Martin Clayton United Kingdom 17 682 0.5× 266 0.4× 333 0.7× 249 0.6× 166 0.4× 76 1.1k
Elizabeth Hellmuth Margulis United States 21 980 0.7× 339 0.6× 358 0.8× 131 0.3× 336 0.9× 61 1.2k
Jamshed J. Bharucha United States 29 2.7k 2.0× 1.2k 2.1× 548 1.2× 429 1.0× 828 2.1× 43 3.0k
Marcus T. Pearce United Kingdom 32 2.8k 2.0× 1.4k 2.4× 418 0.9× 725 1.8× 900 2.3× 109 3.3k
Dirk-Jan Povel Netherlands 17 1.5k 1.1× 645 1.1× 190 0.4× 350 0.8× 519 1.3× 40 1.8k
Nori Jacoby United States 21 963 0.7× 384 0.6× 178 0.4× 147 0.4× 300 0.8× 58 1.5k
Jason Haberman United States 11 1.9k 1.4× 113 0.2× 90 0.2× 294 0.7× 901 2.3× 25 2.3k
Andrea Schiavio United Kingdom 21 804 0.6× 46 0.1× 461 1.0× 220 0.5× 254 0.7× 60 1.2k
Eduardo Coutinho United Kingdom 16 406 0.3× 411 0.7× 88 0.2× 188 0.5× 349 0.9× 60 1.0k

Countries citing papers authored by Justin London

Since Specialization
Citations

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

Fields of papers citing papers by Justin London

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin London

This figure shows the co-authorship network connecting the top 25 collaborators of Justin London. A scholar is included among the top collaborators of Justin London 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 Justin London. Justin London 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.
London, Justin, et al.. (2025). The influence of vocal expertise on the perception of microrhythm in song and speech. Attention Perception & Psychophysics. 87(5). 1750–1770. 1 indexed citations
2.
London, Justin, et al.. (2021). Music Theory as Junk Science. OSF Preprints (OSF Preprints).
3.
Danielsen, Anne, et al.. (2021). Sounds familiar(?): Expertise with specific musical genres modulates timing perception and micro-level synchronization to auditory stimuli. Attention Perception & Psychophysics. 84(2). 599–615. 15 indexed citations
4.
Jacoby, Nori, Rainer Polak, & Justin London. (2021). Extreme precision in rhythmic interaction is enabled by role-optimized sensorimotor coupling: analysis and modelling of West African drum ensemble music. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1835). 20200331–20200331. 16 indexed citations
5.
London, Justin, et al.. (2019). Tapping doesn’t help: Synchronized self-motion and judgments of musical tempo. Attention Perception & Psychophysics. 81(7). 2461–2472. 10 indexed citations
6.
Polak, Rainer, et al.. (2018). Rhythmic Prototypes Across Cultures. Music Perception An Interdisciplinary Journal. 36(1). 1–23. 47 indexed citations
7.
Burger, Birgitta, Justin London, Marc R. Thompson, & Petri Toiviainen. (2017). Synchronization to metrical levels in music depends on low-frequency spectral components and tempo. Psychological Research. 82(6). 1195–1211. 41 indexed citations
8.
Neiworth, Julie J., et al.. (2017). Artificial grammar learning in tamarins (Saguinus oedipus) in varying stimulus contexts.. Journal of comparative psychology. 131(2). 128–138. 9 indexed citations
9.
Carlson, Emily, Birgitta Burger, Justin London, Marc R. Thompson, & Petri Toiviainen. (2016). Conscientiousness and Extraversion relate to responsiveness to tempo in dance. Human Movement Science. 49. 315–325. 17 indexed citations
10.
London, Justin, Rainer Polak, & Nori Jacoby. (2016). Rhythm histograms and musical meter: A corpus study of Malian percussion music. Psychonomic Bulletin & Review. 24(2). 474–480. 29 indexed citations
11.
Polak, Rainer, Justin London, & Nori Jacoby. (2016). Both Isochronous and Non-Isochronous Metrical Subdivision Afford Precise and Stable Ensemble Entrainment: A Corpus Study of Malian Jembe Drumming. Frontiers in Neuroscience. 10. 285–285. 33 indexed citations
12.
London, Justin, Birgitta Burger, Marc R. Thompson, & Petri Toiviainen. (2015). Speed on the dance floor: Auditory and visual cues for musical tempo. Acta Psychologica. 164. 70–80. 16 indexed citations
13.
London, Justin & Rainer Polak. (2013). Microtiming in Ngòn: Categorical production and perception of a non-isochronous meter. 645–650.
14.
Repp, Bruno H., Justin London, & Peter E. Keller. (2012). Systematic Distortions in Musicians’ Reproduction of Cyclic Three-Interval Rhythms. Music Perception An Interdisciplinary Journal. 30(3). 291–305. 25 indexed citations
15.
Repp, Bruno H., Justin London, & Peter E. Keller. (2010). Perception–production relationships and phase correction in synchronization with two-interval rhythms. Psychological Research. 75(3). 227–242. 36 indexed citations
16.
London, Justin. (2004). Modeling Derivatives in C++ (+CD). John Wiley & Sons, Inc. eBooks. 2 indexed citations
17.
London, Justin. (2004). Hearing in Time: Psychological Aspects of Musical Meter. Medical Entomology and Zoology. 282 indexed citations
18.
London, Justin. (2002). Tonal Pitch Space (Book). Music Perception An Interdisciplinary Journal. 20(2). 203–218. 1 indexed citations
19.
London, Justin. (1990). The interaction between meter and phrase beginnings and endings in the mature instrumental music of Haydn and Mozart. Scholarly Commons (University of Pennsylvania). 2 indexed citations
20.
London, Justin. (1990). Riepel and Absatz: Poetic and Prosaic Aspects of Phrase Structure in 18th-Century Theory. Journal of Musicology. 8(4). 505–519. 1 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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