Nori Jacoby

3.6k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Nori Jacoby is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nori Jacoby has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 15 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nori Jacoby's work include Neuroscience and Music Perception (34 papers), Music and Audio Processing (15 papers) and Animal Vocal Communication and Behavior (11 papers). Nori Jacoby is often cited by papers focused on Neuroscience and Music Perception (34 papers), Music and Audio Processing (15 papers) and Animal Vocal Communication and Behavior (11 papers). Nori Jacoby collaborates with scholars based in United States, Germany and Israel. Nori Jacoby's co-authors include Josh H. McDermott, Rainer Polak, Merav Ahissar, Justin London, Ofer Tchernichovski, Peter E. Keller, Bruno H. Repp, Roni Granot, Giulio Bottazzi and Federico Tamagni and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Nori Jacoby

54 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Universality and diversity in human song

2019 266 citations Samuel A. Mehr, Manvir Singh et al. Science profile →

Peers

Nori Jacoby

CN

SP

DB

SP

ECP

Patrick E. Savage Japan

Adena Schachner United States

Max M. Krasnow United States

Justin London United States

John J. Ohala United States

John R. Vokey Canada

Martin Clayton United Kingdom

Nadine Lavan United Kingdom

William J. Idsardi United States

D. Robert Ladd United Kingdom

Patrick E. Savage Japan

Nori Jacoby

528 ×0.5

CN

295 ×0.8

SP

215 ×0.6

DB

239 ×0.8

SP

175 ×0.6

ECP

Citations per year, relative to Nori Jacoby Nori Jacoby (= 1×) peers Patrick E. Savage

Countries citing papers authored by Nori Jacoby

Since Specialization

Citations

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

Fields of papers citing papers by Nori Jacoby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nori Jacoby

This figure shows the co-authorship network connecting the top 25 collaborators of Nori Jacoby. A scholar is included among the top collaborators of Nori Jacoby 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 Nori Jacoby. Nori Jacoby 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:

20 of 20 papers shown

1.

Pérez, Oswaldo, et al.. (2025). Flexible tapping synchronization in macaques: dynamic switching of timing strategies within rhythmic sequences. Journal of Neurophysiology. 134(2). 580–590. 3 indexed citations

2.

Marjieh, Raja, et al.. (2024). Timbral effects on consonance disentangle psychoacoustic mechanisms and suggest perceptual origins for musical scales. Nature Communications. 15(1). 1482–1482. 5 indexed citations

3.

Marjieh, Raja, et al.. (2024). Large language models predict human sensory judgments across six modalities. Scientific Reports. 14(1). 21445–21445. 25 indexed citations

4.

Jacoby, Nori, et al.. (2023). Poor synchronization yet adequate tempo‐keeping in adults with autism. Autism Research. 16(6). 1161–1173. 7 indexed citations

5.

Tchernichovski, Ofer, Seth Frey, Nori Jacoby, & Dalton Conley. (2023). Incentivizing free riders improves collective intelligence in social dilemmas. Proceedings of the National Academy of Sciences. 120(46). e2311497120–e2311497120. 1 indexed citations

6.

Anglada-Tort, Manuel, et al.. (2023). Large-scale iterated singing experiments reveal oral transmission mechanisms underlying music evolution. Current Biology. 33(8). 1472–1486.e12. 13 indexed citations

7.

Gordon, Reyna L., Daphne Oluwaseun Martschenko, Maria Niarchou, et al.. (2023). Confronting ethical and social issues related to the genetics of musicality. Annals of the New York Academy of Sciences. 1522(1). 5–14. 5 indexed citations

8.

Jakubowski, Kelly, et al.. (2022). Aesthetics of musical timing: Culture and expertise affect preferences for isochrony but not synchrony. Cognition. 227. 105205–105205. 12 indexed citations

9.

Mertes, Silvan, Dominik Schiller, Peter M. C. Harrison, et al.. (2021). Exploring Emotional Prototypes in a High Dimensional TTS Latent Space. arXiv (Cornell University). 3870–3874. 3 indexed citations

10.

Jacoby, Nori, et al.. (2021). Slow update of internal representations impedes synchronization in autism. Nature Communications. 12(1). 5439–5439. 43 indexed citations

11.

Jacoby, Nori, Peter M. C. Harrison, & Raja Marjieh. (2020). Gibbs Sampling with People. Open Science Framework. 3 indexed citations

12.

Tchernichovski, Ofer, et al.. (2020). Categorical Rhythms Are Shared between Songbirds and Humans. Current Biology. 30(18). 3699–3699. 7 indexed citations

13.

Tchernichovski, Ofer, et al.. (2020). Categorical Rhythms Are Shared between Songbirds and Humans. Current Biology. 30(18). 3544–3555.e6. 55 indexed citations

14.

Mehr, Samuel A., Manvir Singh, Dean Knox, et al.. (2019). Universality and diversity in human song. Science. 366(6468). 266 indexed citations breakdown →

15.

Jacoby, Nori, Eduardo A. Undurraga, Malinda J. McPherson, et al.. (2019). Universal and Non-universal Features of Musical Pitch Perception Revealed by Singing. Current Biology. 29(19). 3229–3243.e12. 68 indexed citations

16.

Jacoby, Nori & Josh H. McDermott. (2017). Integer Ratio Priors on Musical Rhythm Revealed Cross-culturally by Iterated Reproduction. Current Biology. 27(3). 359–370. 127 indexed citations

17.

Singer, Neomi, Nori Jacoby, Tamar Lin, et al.. (2016). Common modulation of limbic network activation underlies musical emotions as they unfold. NeuroImage. 141. 517–529. 25 indexed citations

18.

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

19.

Jacoby, Nori & Bruno H. Repp. (2012). A general linear framework for the comparison and evaluation of models of sensorimotor synchronization. Biological Cybernetics. 106(3). 135–154. 19 indexed citations

20.

Repp, Bruno H., Peter E. Keller, & Nori Jacoby. (2012). Quantifying phase correction in sensorimotor synchronization: Empirical comparison of three paradigms. Acta Psychologica. 139(2). 281–290. 35 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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