Howard C. Nusbaum

11.4k total citations · 2 hit papers
163 papers, 7.4k citations indexed

About

Howard C. Nusbaum is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Howard C. Nusbaum has authored 163 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cognitive Neuroscience, 76 papers in Experimental and Cognitive Psychology and 31 papers in Artificial Intelligence. Recurrent topics in Howard C. Nusbaum's work include Phonetics and Phonology Research (37 papers), Neuroscience and Music Perception (34 papers) and Multisensory perception and integration (29 papers). Howard C. Nusbaum is often cited by papers focused on Phonetics and Phonology Research (37 papers), Neuroscience and Music Perception (34 papers) and Multisensory perception and integration (29 papers). Howard C. Nusbaum collaborates with scholars based in United States, Canada and China. Howard C. Nusbaum's co-authors include Steven L. Small, Daniel Margoliash, Kimberly M. Fenn, Susan Goldin‐Meadow, Jeremy I Skipper, Alexander L. Francis, David B. Pisoni, Susan Wagner, Spencer D. Kelly and Shannon L. M. Heald and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Personality and Social Psychology.

In The Last Decade

Howard C. Nusbaum

151 papers receiving 7.0k citations

Hit Papers

Explaining Math: Gesturing Lightens the Load 2001 2026 2009 2017 2001 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Howard C. Nusbaum United States 45 3.9k 3.5k 2.2k 1.7k 786 163 7.4k
Sophie K. Scott United Kingdom 65 12.2k 3.1× 5.8k 1.6× 3.2k 1.5× 3.0k 1.8× 398 0.5× 184 16.4k
Carol A. Fowler United States 50 3.3k 0.8× 5.4k 1.5× 2.6k 1.2× 953 0.6× 2.0k 2.5× 147 8.1k
Douglas Davidson United States 13 4.2k 1.1× 2.4k 0.7× 3.1k 1.4× 748 0.4× 925 1.2× 28 7.2k
Stephen D. Goldinger United States 39 3.6k 0.9× 3.7k 1.0× 2.1k 1.0× 586 0.4× 1.4k 1.7× 86 6.5k
Bruno H. Repp United States 55 9.0k 2.3× 4.6k 1.3× 1.2k 0.6× 2.2k 1.3× 918 1.2× 237 11.6k
Pascal Belin Canada 56 10.8k 2.8× 5.7k 1.6× 1.6k 0.7× 1.9k 1.1× 429 0.5× 165 13.2k
Jonathan W. Peirce United Kingdom 20 6.1k 1.6× 2.2k 0.6× 1.2k 0.5× 1.5k 0.9× 394 0.5× 45 8.6k
Sonja A. Kotz Germany 69 11.3k 2.9× 5.1k 1.5× 3.0k 1.4× 2.6k 1.5× 352 0.4× 349 13.9k
Christophe Pallier France 41 4.8k 1.2× 3.0k 0.8× 3.2k 1.5× 515 0.3× 1.1k 1.4× 91 7.3k
Donald Shankweiler United States 55 8.0k 2.1× 4.5k 1.3× 9.7k 4.4× 662 0.4× 1.2k 1.5× 128 15.2k

Countries citing papers authored by Howard C. Nusbaum

Since Specialization
Citations

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

Fields of papers citing papers by Howard C. Nusbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard C. Nusbaum. 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 Howard C. Nusbaum. The network helps show where Howard C. Nusbaum may publish in the future.

Co-authorship network of co-authors of Howard C. Nusbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Howard C. Nusbaum. A scholar is included among the top collaborators of Howard C. Nusbaum 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 Howard C. Nusbaum. Howard C. Nusbaum 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.
Nusbaum, Howard C., et al.. (2025). Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence. Communications Psychology. 3(1). 9–9. 1 indexed citations
2.
Nusbaum, Howard C.. (2025). Understanding the Psychology of Practical Wisdom. The Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine. 50(2). 104–116.
3.
Nusbaum, Howard C., et al.. (2024). Cardiac afferent signals can facilitate visual dominance in binocular rivalry. eLife. 13. 1 indexed citations
4.
Nusbaum, Howard C., et al.. (2024). Metacognition bridges experiences and beliefs in sense of agency. Consciousness and Cognition. 124. 103745–103745.
5.
Heald, Shannon L. M., et al.. (2023). Generalizing across tonal context, timbre, and octave in rapid absolute pitch training. Attention Perception & Psychophysics. 85(2). 525–542. 2 indexed citations
6.
Heald, Shannon L. M., et al.. (2021). Going Beyond Rote Auditory Learning: Neural Patterns of Generalized Auditory Learning. Journal of Cognitive Neuroscience. 34(3). 425–444. 1 indexed citations
7.
Jeste, Dilip V., Ellen Lee, Rachel Caspari, et al.. (2019). The New Science of Practical Wisdom. Perspectives in biology and medicine. 62(2). 216–236. 29 indexed citations
8.
Nusbaum, Howard C., et al.. (2018). Consolidating skill learning through sleep. Current Opinion in Behavioral Sciences. 20. 174–182. 6 indexed citations
9.
Heald, Shannon L. M., Stephen C. Van Hedger, & Howard C. Nusbaum. (2017). Perceptual Plasticity for Auditory Object Recognition. Frontiers in Psychology. 8. 781–781. 10 indexed citations
10.
Nusbaum, Howard C.. (2016). Turning Points: Finding Experiential Forks in the Path to Wisdom and Virtues. SHAREOK (University of Oklahoma). 1 indexed citations
11.
Nusbaum, Howard C.. (2016). Robust Science Depends on Understanding the Science of Humans. APS observer. 30(1). 1 indexed citations
12.
Hedger, Stephen C. Van, Shannon L. M. Heald, & Howard C. Nusbaum. (2016). What the [bleep]? Enhanced absolute pitch memory for a 1000 Hz sine tone. Cognition. 154. 139–150. 10 indexed citations
13.
Skipper, Jeremy I, Susan Goldin‐Meadow, Howard C. Nusbaum, & Steven L. Small. (2009). Gestures Orchestrate Brain Networks for Language Understanding. Current Biology. 19(8). 661–667. 95 indexed citations
14.
Margoliash, Daniel & Howard C. Nusbaum. (2009). Language: the perspective from organismal biology. Trends in Cognitive Sciences. 13(12). 505–510. 23 indexed citations
15.
Fenn, Kimberly M., et al.. (2007). Complex Acoustic Pattern Learning in Songbirds and Humans. eScholarship (California Digital Library). 29(29). 1 indexed citations
16.
Shintel, Hadas & Howard C. Nusbaum. (2007). Speed accommodation in context: Context modulation of the effect of speech rate on response speed. eScholarship (California Digital Library). 29(29). 1 indexed citations
17.
Hasson, Uri, Howard C. Nusbaum, & Steven L. Small. (2007). Brain Networks Subserving the Extraction of Sentence Information and Its Encoding to Memory. Cerebral Cortex. 17(12). 2899–2913. 59 indexed citations
18.
Nusbaum, Howard C., Jeremy I Skipper, & Steven L. Small. (2001). A sensory-attentional account of speech perception. Behavioral and Brain Sciences. 24(5). 995–996. 1 indexed citations
19.
Greenspan, Steven L., Howard C. Nusbaum, & David B. Pisoni. (1988). Perceptual learning of synthetic speech produced by rule.. Journal of Experimental Psychology Learning Memory and Cognition. 14(3). 421–433. 96 indexed citations
20.
Nusbaum, Howard C.. (1984). Sizing up the Hoosier Mental Lexicon: Measuring the Familiarity of 20,000 Words, Research on Speech Perception. 10. 357–376. 155 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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