Benjamin P. Gold

1.0k total citations
17 papers, 458 citations indexed

About

Benjamin P. Gold is a scholar working on Cognitive Neuroscience, Social Psychology and Music. According to data from OpenAlex, Benjamin P. Gold has authored 17 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 6 papers in Social Psychology and 5 papers in Music. Recurrent topics in Benjamin P. Gold's work include Neuroscience and Music Perception (12 papers), Diverse Music Education Insights (5 papers) and Neural dynamics and brain function (4 papers). Benjamin P. Gold is often cited by papers focused on Neuroscience and Music Perception (12 papers), Diverse Music Education Insights (5 papers) and Neural dynamics and brain function (4 papers). Benjamin P. Gold collaborates with scholars based in United States, Canada and Denmark. Benjamin P. Gold's co-authors include Alain Dagher, Robert J. Zatorre, Ernest Mas‐Herrero, Elvira Brattico, Marcus T. Pearce, Brigitte Bogert, Mitchel Benovoy, Yashar Zeighami, Michael J. Frank and Mikko Sams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Benjamin P. Gold

16 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin P. Gold United States 10 401 173 107 92 71 17 458
Yohana Lévêque France 14 374 0.9× 139 0.8× 116 1.1× 79 0.9× 53 0.7× 30 524
Diana Omigie United Kingdom 15 617 1.5× 133 0.8× 222 2.1× 118 1.3× 129 1.8× 41 678
Iballa Burunat Finland 10 372 0.9× 118 0.7× 80 0.7× 81 0.9× 82 1.2× 16 401
Mads Hansen Denmark 7 263 0.7× 66 0.4× 54 0.5× 87 0.9× 36 0.5× 9 311
Brigitte Bogert Finland 8 491 1.2× 282 1.6× 152 1.4× 156 1.7× 69 1.0× 8 554
Nathaniel S. Miller United States 5 420 1.0× 86 0.5× 133 1.2× 58 0.6× 64 0.9× 14 477
Céline Marie Canada 14 949 2.4× 129 0.7× 353 3.3× 200 2.2× 149 2.1× 16 1.0k
Neomi Singer Israel 11 288 0.7× 111 0.6× 72 0.7× 31 0.3× 22 0.3× 22 378
Helena Alicart Spain 7 300 0.7× 166 1.0× 61 0.6× 62 0.7× 22 0.3× 8 373
Urte Roeber Germany 18 967 2.4× 73 0.4× 415 3.9× 25 0.3× 65 0.9× 45 1.0k

Countries citing papers authored by Benjamin P. Gold

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin P. Gold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin P. Gold. 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 Benjamin P. Gold. The network helps show where Benjamin P. Gold may publish in the future.

Co-authorship network of co-authors of Benjamin P. Gold

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

All Works

17 of 17 papers shown
1.
Bolt, Taylor, Shiyu Wang, Jason S. Nomi, et al.. (2025). Autonomic physiological coupling of the global fMRI signal. Nature Neuroscience. 28(6). 1327–1335. 6 indexed citations
2.
Gao, Fei, et al.. (2024). IDyOMpy: A new Python-based model for the statistical analysis of musical expectations. Journal of Neuroscience Methods. 415. 110347–110347.
3.
Gold, Benjamin P., Chong Zhao, Jacco A. de Zwart, et al.. (2024). Functional MRI signals exhibit stronger covariation with peripheral autonomic measures as vigilance decreases. Imaging Neuroscience. 2. 4 indexed citations
4.
Gold, Benjamin P., Marcus T. Pearce, Anthony R. McIntosh, et al.. (2023). Auditory and reward structures reflect the pleasure of musical expectancies during naturalistic listening. Frontiers in Neuroscience. 17. 1209398–1209398. 4 indexed citations
5.
Bonetti, Leonardo, Marina Kliuchko, Benjamin P. Gold, et al.. (2022). Whole-brain computation of cognitive versus acoustic errors in music: A mismatch negativity study. SHILAP Revista de lepidopterología. 2(4). 100145–100145. 9 indexed citations
6.
Gold, Benjamin P., et al.. (2022). Vigilance associates with the low-dimensional structure of fMRI data. NeuroImage. 267. 119818–119818. 1 indexed citations
7.
Gold, Benjamin P., et al.. (2021). Interindividual Signatures of fMRI Temporal Fluctuations. Cerebral Cortex. 31(10). 4450–4463. 3 indexed citations
8.
Glerean, Enrico, Benjamin P. Gold, Mikko Sams, et al.. (2020). Inter-subject Similarity of Brain Activity in Expert Musicians After Multimodal Learning: A Behavioral and Neuroimaging Study on Learning to Play a Piano Sonata. Neuroscience. 441. 102–116. 20 indexed citations
9.
Gold, Benjamin P., Marcus T. Pearce, Ernest Mas‐Herrero, Alain Dagher, & Robert J. Zatorre. (2019). Predictability and Uncertainty in the Pleasure of Music: A Reward for Learning?. Journal of Neuroscience. 39(47). 9397–9409. 104 indexed citations
10.
Kliuchko, Marina, Elvira Brattico, Benjamin P. Gold, et al.. (2019). Fractionating auditory priors: A neural dissociation between active and passive experience of musical sounds. PLoS ONE. 14(5). e0216499–e0216499. 16 indexed citations
11.
Bianco, Roberta, Benjamin P. Gold, Aaron Johnson, & Virginia B. Penhune. (2019). Music predictability and liking enhance pupil dilation and promote motor learning in non-musicians. Scientific Reports. 9(1). 17060–17060. 21 indexed citations
12.
Gold, Benjamin P., Ernest Mas‐Herrero, Yashar Zeighami, et al.. (2019). Musical reward prediction errors engage the nucleus accumbens and motivate learning. Proceedings of the National Academy of Sciences. 116(8). 3310–3315. 85 indexed citations
13.
Singer, Neomi, Benjamin P. Gold, Nori Jacoby, et al.. (2019). Surprise-related activation in the nucleus accumbens interacts with music-induced pleasantness. Social Cognitive and Affective Neuroscience. 14(4). 459–470. 51 indexed citations
14.
Bogert, Brigitte, Benjamin P. Gold, Mikko Sams, et al.. (2016). Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions. Neuropsychologia. 89. 393–402. 48 indexed citations
15.
Kliuchko, Marina, Marja Heinonen-Guzejev, Lucia Monacis, et al.. (2015). The association of noise sensitivity with music listening, training, and aptitude. Noise and Health. 17(78). 350–350. 22 indexed citations
16.
Gold, Benjamin P., Michael J. Frank, Brigitte Bogert, & Elvira Brattico. (2013). Pleasurable music affects reinforcement learning according to the listener. Frontiers in Psychology. 4. 541–541. 42 indexed citations
17.
Vurbic, Drina, Benjamin P. Gold, & Mark E. Bouton. (2011). Effects of D-cycloserine on the extinction of appetitive operant learning.. Behavioral Neuroscience. 125(4). 551–559. 22 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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