Vani G. Rajendran

610 total citations
17 papers, 361 citations indexed

About

Vani G. Rajendran is a scholar working on Cognitive Neuroscience, Speech and Hearing and Sensory Systems. According to data from OpenAlex, Vani G. Rajendran has authored 17 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 3 papers in Speech and Hearing and 3 papers in Sensory Systems. Recurrent topics in Vani G. Rajendran's work include Neuroscience and Music Perception (11 papers), Neural dynamics and brain function (7 papers) and Hearing Loss and Rehabilitation (7 papers). Vani G. Rajendran is often cited by papers focused on Neuroscience and Music Perception (11 papers), Neural dynamics and brain function (7 papers) and Hearing Loss and Rehabilitation (7 papers). Vani G. Rajendran collaborates with scholars based in United Kingdom, Hong Kong and United States. Vani G. Rajendran's co-authors include Jan W. H. Schnupp, Nicol S. Harper, Jill X. O’Reilly, Erie D. Boorman, Timothy E.J. Behrens, Sundeep Teki, Tian Ding, Zhihong Chen, Andreas Bergmann and Tom V. Lee and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Vani G. Rajendran

16 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vani G. Rajendran United Kingdom 10 215 80 47 45 43 17 361
Mamiko Niwa United States 12 407 1.9× 130 1.6× 55 1.2× 59 1.3× 68 1.6× 18 585
Adam J. Calhoun United States 8 147 0.7× 109 1.4× 38 0.8× 52 1.2× 18 0.4× 10 372
Ekaterina Vinnik Italy 6 126 0.6× 172 2.1× 14 0.3× 43 1.0× 15 0.3× 7 280
Riitta Lindström Finland 9 88 0.4× 119 1.5× 77 1.6× 18 0.4× 12 0.3× 15 341
Tom Hindmarsh Sten United States 5 197 0.9× 198 2.5× 39 0.8× 38 0.8× 11 0.3× 5 315
Sridhar R. Jagannathan United Kingdom 7 86 0.4× 176 2.2× 28 0.6× 82 1.8× 30 0.7× 10 337
Diogo Pimentel United Kingdom 7 152 0.7× 366 4.6× 53 1.1× 117 2.6× 20 0.5× 8 469
Annette Werner Germany 15 252 1.2× 100 1.3× 89 1.9× 79 1.8× 47 1.1× 26 574
Raghav Rajan India 6 47 0.2× 110 1.4× 22 0.5× 23 0.5× 13 0.3× 10 308
Kazuo Imaizumi United States 11 332 1.5× 182 2.3× 18 0.4× 42 0.9× 33 0.8× 22 530

Countries citing papers authored by Vani G. Rajendran

Since Specialization
Citations

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

Fields of papers citing papers by Vani G. Rajendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vani G. Rajendran. 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 Vani G. Rajendran. The network helps show where Vani G. Rajendran may publish in the future.

Co-authorship network of co-authors of Vani G. Rajendran

This figure shows the co-authorship network connecting the top 25 collaborators of Vani G. Rajendran. A scholar is included among the top collaborators of Vani G. Rajendran 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 Vani G. Rajendran. Vani G. Rajendran 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.
Rajendran, Vani G., Luis Prado, J. Pablo Marquez, & Hugo Merchant. (2025). Monkeys have rhythm. Science. 390(6776). 940–944. 1 indexed citations
2.
Rajendran, Vani G., et al.. (2025). Memory for repeated auditory textures. Cognition. 268. 106350–106350. 1 indexed citations
3.
Rajendran, Vani G., et al.. (2024). Rats synchronize predictively to metronomes. iScience. 27(11). 111053–111053. 3 indexed citations
4.
Auksztulewicz, Ryszard, et al.. (2023). Cross-modal implicit learning of random time patterns. Hearing Research. 438. 108857–108857.
5.
Auksztulewicz, Ryszard, et al.. (2023). Omission responses in local field potentials in rat auditory cortex. BMC Biology. 21(1). 130–130. 13 indexed citations
6.
Li, Kongyan, et al.. (2021). Interaural time difference tuning in the rat inferior colliculus is predictive of behavioral sensitivity. Hearing Research. 409. 108331–108331. 2 indexed citations
7.
Rajendran, Vani G., Nicol S. Harper, & Jan W. H. Schnupp. (2020). Auditory cortical representation of music favours the perceived beat. Royal Society Open Science. 7(3). 191194–191194. 15 indexed citations
8.
Li, Kongyan, et al.. (2019). Microsecond sensitivity to envelope interaural time differences in rats. The Journal of the Acoustical Society of America. 145(5). EL341–EL347. 19 indexed citations
9.
Rajendran, Vani G. & Hannes Gamper. (2019). Spectral manipulation improves elevation perception with non-individualized head-related transfer functions. The Journal of the Acoustical Society of America. 145(3). EL222–EL228. 6 indexed citations
10.
Rajendran, Vani G., Sundeep Teki, & Jan W. H. Schnupp. (2017). Temporal Processing in Audition: Insights from Music. Neuroscience. 389. 4–18. 34 indexed citations
11.
Rajendran, Vani G., Nicol S. Harper, Jose A. Garcia‐Lazaro, Nicholas A. Lesica, & Jan W. H. Schnupp. (2017). Midbrain adaptation may set the stage for the perception of musical beat. Proceedings of the Royal Society B Biological Sciences. 284(1866). 20171455–20171455. 30 indexed citations
12.
Rajendran, Vani G., et al.. (2016). Rhythm Facilitates the Detection of Repeating Sound Patterns. Frontiers in Neuroscience. 10. 9–9. 14 indexed citations
13.
Boorman, Erie D., Vani G. Rajendran, Jill X. O’Reilly, & Timothy E.J. Behrens. (2016). Two Anatomically and Computationally Distinct Learning Signals Predict Changes to Stimulus-Outcome Associations in Hippocampus. Neuron. 89(6). 1343–1354. 77 indexed citations
14.
Rajendran, Vani G. & Sundeep Teki. (2016). Periodicity versus Prediction in Sensory Perception. Journal of Neuroscience. 36(28). 7343–7345. 2 indexed citations
15.
Gómez-Marín, Àlex, Vani G. Rajendran, Gus K. Lott, et al.. (2015). Dynamical feature extraction at the sensory periphery guides chemotaxis. eLife. 4. 73 indexed citations
16.
Rajendran, Vani G., Nicol S. Harper, Ben D. B. Willmore, William M. Hartmann, & Jan W. H. Schnupp. (2013). Temporal predictability as a grouping cue in the perception of auditory streams. The Journal of the Acoustical Society of America. 134(1). EL98–EL104. 16 indexed citations
17.
Lee, Tom V., Tian Ding, Zhihong Chen, et al.. (2007). The E1 ubiquitin-activating enzyme Uba1 inDrosophilacontrols apoptosis autonomously and tissue growth non-autonomously. Development. 135(1). 43–52. 55 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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