Jonathan Berger

2.7k total citations
110 papers, 1.6k citations indexed

About

Jonathan Berger is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Jonathan Berger has authored 110 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Signal Processing, 37 papers in Computer Vision and Pattern Recognition and 35 papers in Cognitive Neuroscience. Recurrent topics in Jonathan Berger's work include Music and Audio Processing (38 papers), Music Technology and Sound Studies (32 papers) and Neuroscience and Music Perception (20 papers). Jonathan Berger is often cited by papers focused on Music and Audio Processing (38 papers), Music Technology and Sound Studies (32 papers) and Neuroscience and Music Perception (20 papers). Jonathan Berger collaborates with scholars based in United States, Canada and Australia. Jonathan Berger's co-authors include Dorry L. Segev, Robert A. Montgomery, Nathan T. James, Jacqueline Garonzik‐Wang, Daniel Warren, Erin Hall, John R. Montgomery, Devarajan Sridharan, Chris Chafe and Vinod Menon and has published in prestigious journals such as Neuron, NeuroImage and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Jonathan Berger

97 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
Jonathan Berger United States 19 417 406 404 381 248 110 1.6k
Erik Edwards United States 26 263 0.6× 398 1.0× 1.2k 2.9× 971 2.5× 11 0.0× 46 2.9k
Edward V. Staab United States 25 133 0.3× 22 0.1× 164 0.4× 589 1.5× 292 1.2× 133 2.1k
Simon Durrant Australia 34 273 0.7× 88 0.2× 1.2k 3.0× 116 0.3× 17 0.1× 135 5.1k
David Delgado‐Gómez Spain 21 77 0.2× 11 0.0× 154 0.4× 63 0.2× 251 1.0× 107 1.6k
Anna R. Graham United States 31 505 1.2× 15 0.0× 40 0.1× 595 1.6× 231 0.9× 100 3.6k
Jianfu Li China 27 236 0.6× 10 0.0× 670 1.7× 411 1.1× 117 0.5× 108 5.3k
Elizabeth Clark United Kingdom 21 187 0.4× 7 0.0× 122 0.3× 222 0.6× 94 0.4× 58 1.9k
Andrew Chalmers Canada 28 190 0.5× 13 0.0× 19 0.0× 362 1.0× 190 0.8× 81 2.5k
Chih‐Hung Lai Taiwan 19 206 0.5× 1.0k 2.6× 11 0.0× 669 1.8× 17 0.1× 97 2.2k
John Burt Foster United Kingdom 22 255 0.6× 3 0.0× 140 0.3× 257 0.7× 205 0.8× 87 1.9k

Countries citing papers authored by Jonathan Berger

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Berger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Berger

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Berger. A scholar is included among the top collaborators of Jonathan Berger 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 Jonathan Berger. Jonathan Berger 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.
Berger, Jonathan, et al.. (2025). A model of vocal persona: context, perception, production. Frontiers in Computer Science. 7.
2.
Kaneshiro, Blair, et al.. (2024). Inter‐subject correlation of electroencephalographic and behavioural responses reflects time‐varying engagement with natural music. European Journal of Neuroscience. 59(12). 3162–3183. 3 indexed citations
3.
Mattoo, Aprajita, Ian Jaffe, Elaina Weldon, et al.. (2024). Prophylactic 2-week glecaprevir/pibrentasvir in hepatitis C positive-to-negative kidney transplantation. Nephrology Dialysis Transplantation. 40(7). 1322–1331.
4.
Anglada-Tort, Manuel, et al.. (2023). Inducing and disrupting flow during music performance. Frontiers in Psychology. 14. 1187153–1187153. 5 indexed citations
5.
Kodadek, Lisa M., Jonathan Berger, & Elliott R. Haut. (2020). Guidance vs. guidelines: the role of evidence-based medicine in the COVID-19 pandemic. Journal of Patient Safety and Risk Management. 25(6). 216–218. 6 indexed citations
6.
Abel, Jonathan S., et al.. (2019). A Method for Studying Interactions between Music Performance and Rooms with Real-Time Virtual Acoustics. Journal of the Audio Engineering Society. 4 indexed citations
8.
Berger, Jonathan, et al.. (2013). WAAX: Web Audio {API} eXtension. New Interfaces for Musical Expression. 499–502. 15 indexed citations
9.
Berger, Jonathan, et al.. (2012). In Search of a Perceptual Metric for Timbre: Dissimilarity Judgments among Synthetic Sounds with MFCC-Derived Spectral Envelopes. Journal of the Audio Engineering Society. 60(9). 674–685. 8 indexed citations
10.
Slaney, Malcolm, et al.. (2006). A statistical model of timbre perception.. Conference of the International Speech Communication Association. 18–23. 3 indexed citations
11.
Berger, Jonathan, et al.. (2005). ESTIMATING TRANSFER FUNCTION FROM AIR TO BONE CONDUCTION USING SINGING VOICE. The Journal of the Abraham Lincoln Association. 2005. 5 indexed citations
12.
Berger, Jonathan, et al.. (2004). A flexible framework for real-time sonification with sonart. 3 indexed citations
13.
Berger, Jonathan, et al.. (2004). SonART: A framework for data sonification, visualization and networked multimedia applications. The Journal of the Abraham Lincoln Association. 2004. 12 indexed citations
14.
Berger, Jonathan, et al.. (2004). AUDITORY DISPLAY OF HYPERSPECTRAL COLON TISSUE IMAGES USING VOCAL SYNTHESIS MODELS. SMARTech Repository (Georgia Institute of Technology). 14 indexed citations
15.
Berger, Jonathan, et al.. (1998). A Computational Model of Meter Cognition During the Audition of Functional Tonal Music: Modeling A-Priori Bbias in Meter Cognition. The Journal of the Abraham Lincoln Association. 1998. 1 indexed citations
16.
Berger, Jonathan, et al.. (1997). A Neural Network Model of Metric Perception and Cognition in the Audition of Functional Tonal Music. The Journal of the Abraham Lincoln Association. 1997. 23–26. 8 indexed citations
17.
Coifman, Ronald R., et al.. (1995). Aspects of Pitch-Tracking and Timbre Separation: Feature Detection in Digital Audio Using Adapted Local Trigonometric Bases and Wavelet Packages. The Journal of the Abraham Lincoln Association. 1995.
18.
Hudak, Paul & Jonathan Berger. (1995). A Model Performance, Interaction and Improvisation. The Journal of the Abraham Lincoln Association. 1995. 6 indexed citations
19.
Berger, Jonathan, et al.. (1994). Using Wavelet Based Analysis and Resynthesis to Uncover the Past. The Journal of the Abraham Lincoln Association. 1994.
20.
Berger, Jonathan, et al.. (1994). A Method of Denoising and Reconstructing Audio Signals. The Journal of the Abraham Lincoln Association. 1994. 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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