Timothy Q. Gentner

3.7k total citations · 1 hit paper
61 papers, 2.3k citations indexed

About

Timothy Q. Gentner is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Timothy Q. Gentner has authored 61 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Developmental Biology, 33 papers in Ecology, Evolution, Behavior and Systematics and 33 papers in Ecology. Recurrent topics in Timothy Q. Gentner's work include Animal Vocal Communication and Behavior (49 papers), Marine animal studies overview (32 papers) and Animal Behavior and Reproduction (32 papers). Timothy Q. Gentner is often cited by papers focused on Animal Vocal Communication and Behavior (49 papers), Marine animal studies overview (32 papers) and Animal Behavior and Reproduction (32 papers). Timothy Q. Gentner collaborates with scholars based in United States, Argentina and Australia. Timothy Q. Gentner's co-authors include Stewart H. Hulse, Daniel Margoliash, Gregory F. Ball, Kimberly M. Fenn, Howard C. Nusbaum, Tim Sainburg, Marvin Thielk, James M. Jeanne, Tatyana O. Sharpee and Keith W. Sockman and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Timothy Q. Gentner

59 papers receiving 2.2k citations

Hit Papers

Recursive syntactic pattern learning by songbirds 2006 2026 2012 2019 2006 100 200 300
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.

  1. Recursive syntactic pattern learning by songbirds
    2006 392 citations Timothy Q. Gentner, Kimberly M. Fenn et al. profile →

Peers

Timothy Q. Gentner
Ofer Tchernichovski United States
Gabriël J. L. Beckers Netherlands
Steffen R. Hage Germany
Christopher B. Sturdy Canada
Michael S. Brainard United States
Cory T. Miller United States
Andrea Ravignani Netherlands
Allison J. Doupe United States
Jeffrey Cynx United States
David S. Vicario United States
Ofer Tchernichovski United States
Timothy Q. Gentner
Citations per year, relative to Timothy Q. Gentner Timothy Q. Gentner (= 1×) peers Ofer Tchernichovski

Countries citing papers authored by Timothy Q. Gentner

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Q. Gentner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Q. Gentner. 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 Timothy Q. Gentner. The network helps show where Timothy Q. Gentner may publish in the future.

Co-authorship network of co-authors of Timothy Q. Gentner

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Q. Gentner. A scholar is included among the top collaborators of Timothy Q. Gentner 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 Timothy Q. Gentner. Timothy Q. Gentner 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.
Gentner, Timothy Q., et al.. (2024). Guiding Brain-to-Vocalization Decoder Design Using Structured Generalization Error. PubMed. 2024. 1–4.
2.
Sainburg, Tim, et al.. (2022). Syntactic modulation of rhythm in Australian pied butcherbird song. Royal Society Open Science. 9(9). 220704–220704. 6 indexed citations
3.
Chen, Shukai, et al.. (2021). Neurally driven synthesis of learned, complex vocalizations. Current Biology. 31(15). 3419–3425.e5. 3 indexed citations
4.
Castagnola, Elisa, et al.. (2020). Epi-Intra neural probes with glassy carbon microelectrodes help elucidate neural coding and stimulus encoding in 3D volume of tissue. Journal of Neural Engineering. 17(4). 46005–46005. 12 indexed citations
5.
Hossain, Lorraine, et al.. (2020). Stimulus Driven Single Unit Activity From Micro-Electrocorticography. Frontiers in Neuroscience. 14. 55–55. 10 indexed citations
6.
Kozlov, Andreï S. & Timothy Q. Gentner. (2016). Central auditory neurons have composite receptive fields. Proceedings of the National Academy of Sciences. 113(5). 1441–1446. 35 indexed citations
7.
Comins, Jordan A. & Timothy Q. Gentner. (2015). Pattern-Induced Covert Category Learning in Songbirds. Current Biology. 25(14). 1873–1877. 4 indexed citations
8.
Comins, Jordan A. & Timothy Q. Gentner. (2014). Temporal pattern processing in songbirds. Current Opinion in Neurobiology. 28. 179–187. 9 indexed citations
9.
Gentner, Timothy Q., et al.. (2013). Active recognition enhances the representation of behaviorally relevant information in single auditory forebrain neurons. Journal of Neurophysiology. 109(7). 1690–1703. 13 indexed citations
10.
Gentner, Timothy Q., et al.. (2013). Attention to natural auditory signals. Hearing Research. 305. 10–18. 20 indexed citations
11.
Jeanne, James M., et al.. (2011). Emergence of Learned Categorical Representations within an Auditory Forebrain Circuit. Journal of Neuroscience. 31(7). 2595–2606. 49 indexed citations
12.
Comins, Jordan A. & Timothy Q. Gentner. (2010). Working memory for patterned sequences of auditory objects in a songbird. Cognition. 117(1). 38–53. 26 indexed citations
13.
Gentner, Timothy Q., et al.. (2010). Distributed recognition of natural songs by European starlings. Learning and Motivation. 41(4). 287–306. 4 indexed citations
14.
Gibb, Leif, Timothy Q. Gentner, & Henry D. I. Abarbanel. (2009). Brain Stem Feedback in a Computational Model of Birdsong Sequencing. Journal of Neurophysiology. 102(3). 1763–1778. 21 indexed citations
15.
Gibb, Leif, Timothy Q. Gentner, & Henry D. I. Abarbanel. (2009). Inhibition and Recurrent Excitation in a Computational Model of Sparse Bursting in Song Nucleus HVC. Journal of Neurophysiology. 102(3). 1748–1762. 32 indexed citations
16.
Fenn, Kimberly M., et al.. (2007). Complex Acoustic Pattern Learning in Songbirds and Humans. eScholarship (California Digital Library). 29(29). 1 indexed citations
17.
Appeltants, Didier, Timothy Q. Gentner, Stewart H. Hulse, Jacques Balthazart, & Gregory F. Ball. (2005). The effect of auditory distractors on song discrimination in male canaries (Serinus canaria). Behavioural Processes. 69(3). 331–341. 36 indexed citations
18.
Gentner, Timothy Q., Stewart H. Hulse, & Gregory F. Ball. (2004). Functional differences in forebrain auditory regions during learned vocal recognition in songbirds. Journal of Comparative Physiology A. 190(12). 1001–1010. 53 indexed citations
19.
Gentner, Timothy Q.. (2004). Neural Systems for Individual Song Recognition in Adult Birds. Annals of the New York Academy of Sciences. 1016(1). 282–302. 44 indexed citations
20.
Chaiken, Marthaleah, Timothy Q. Gentner, & Stewart H. Hulse. (1997). Effects of social interaction on the development of startling song and the perception of these effects by conspecifics.. Journal of comparative psychology. 111(4). 379–392. 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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