Vinoo Alluri

2.1k total citations
33 papers, 1.2k citations indexed

About

Vinoo Alluri is a scholar working on Cognitive Neuroscience, Signal Processing and Social Psychology. According to data from OpenAlex, Vinoo Alluri has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cognitive Neuroscience, 15 papers in Signal Processing and 7 papers in Social Psychology. Recurrent topics in Vinoo Alluri's work include Neuroscience and Music Perception (25 papers), Music and Audio Processing (12 papers) and Neural dynamics and brain function (10 papers). Vinoo Alluri is often cited by papers focused on Neuroscience and Music Perception (25 papers), Music and Audio Processing (12 papers) and Neural dynamics and brain function (10 papers). Vinoo Alluri collaborates with scholars based in Finland, India and Denmark. Vinoo Alluri's co-authors include Petri Toiviainen, Elvira Brattico, Brigitte Bogert, Mari Tervaniemi, Mikko Sams, Iballa Burunat, Enrico Glerean, Iiro P. Jääskeläinen, Thomas Jacobsen and Tuomas Eerola and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Vinoo Alluri

33 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinoo Alluri Finland 17 1.1k 379 311 306 196 33 1.2k
Jason Musil United Kingdom 5 731 0.7× 236 0.6× 177 0.6× 194 0.6× 249 1.3× 5 831
Jean Mary Zarate United States 14 758 0.7× 140 0.4× 123 0.4× 307 1.0× 113 0.6× 18 928
Victoria J. Williamson United Kingdom 20 993 0.9× 312 0.8× 124 0.4× 376 1.2× 299 1.5× 40 1.2k
Claudia Lappe Germany 12 742 0.7× 173 0.5× 83 0.3× 197 0.6× 140 0.7× 18 855
Bénédicte Poulin-Charronnat France 18 885 0.8× 143 0.4× 267 0.9× 306 1.0× 206 1.1× 57 1.1k
Vesa Putkinen Finland 20 913 0.8× 319 0.8× 67 0.2× 243 0.8× 295 1.5× 56 1.1k
Gábor P. Háden Hungary 15 897 0.8× 117 0.3× 219 0.7× 292 1.0× 95 0.5× 29 1.1k
Andreas Højlund Denmark 12 493 0.4× 119 0.3× 86 0.3× 208 0.7× 102 0.5× 33 658
Richard Ragot France 22 1.5k 1.3× 150 0.4× 105 0.3× 550 1.8× 79 0.4× 37 1.6k
Marina Kliuchko Denmark 13 498 0.4× 171 0.5× 83 0.3× 107 0.3× 112 0.6× 22 592

Countries citing papers authored by Vinoo Alluri

Since Specialization
Citations

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

Fields of papers citing papers by Vinoo Alluri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinoo Alluri

This figure shows the co-authorship network connecting the top 25 collaborators of Vinoo Alluri. A scholar is included among the top collaborators of Vinoo Alluri 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 Vinoo Alluri. Vinoo Alluri 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.
Alluri, Vinoo & Petri Toiviainen. (2023). The naturalistic paradigm: An approach to studying individual variability in neural underpinnings of music perception. Annals of the New York Academy of Sciences. 1530(1). 18–22. 1 indexed citations
2.
Saarikallio, Suvi, et al.. (2023). “Help! I need some music!”: Analysing music discourse & depression on Reddit. PLoS ONE. 18(7). e0287975–e0287975. 1 indexed citations
3.
Shah, Apurva, et al.. (2023). Structural and functional pathology in cocaine use disorder with polysubstance use: A multimodal fusion approach structural-functional pathology in cocaine use disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 128. 110862–110862. 2 indexed citations
4.
Vuoskoski, Jonna K., et al.. (2022). Feeling moved by music: Investigating continuous ratings and acoustic correlates. PLoS ONE. 17(1). e0261151–e0261151. 18 indexed citations
5.
Carlson, Emily, et al.. (2022). Decoding Individual differences and musical preference via music-induced movement. Scientific Reports. 12(1). 2672–2672. 2 indexed citations
6.
Alluri, Vinoo, et al.. (2020). Marijuana and the hippocampus: A longitudinal study on the effects of marijuana on hippocampal subfields. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 101. 109897–109897. 5 indexed citations
7.
Saarikallio, Suvi, et al.. (2020). Emotions of music listening in Finland and in India: Comparison of an individualistic and a collectivistic culture. Psychology of Music. 49(4). 989–1005. 28 indexed citations
8.
Toiviainen, Petri, Iballa Burunat, Elvira Brattico, Peter Vuust, & Vinoo Alluri. (2019). The chronnectome of musical beat. NeuroImage. 216. 116191–116191. 27 indexed citations
9.
Burunat, Iballa, et al.. (2019). Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting. Jyväskylä University Digital Archive (University of Jyväskylä). 4 indexed citations
10.
Engel, Annerose, Rodrigo Basílio, Vinoo Alluri, et al.. (2018). Identifying musical pieces from fMRI data using encoding and decoding models. Scientific Reports. 8(1). 2266–2266. 16 indexed citations
11.
Burunat, Iballa, et al.. (2018). On application of kernel PCA for generating stimulus features for fMRI during continuous music listening. Journal of Neuroscience Methods. 303. 1–6. 3 indexed citations
12.
Brattico, Elvira, Brigitte Bogert, Vinoo Alluri, et al.. (2016). It's Sad but I Like It: The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons. Frontiers in Human Neuroscience. 9. 676–676. 93 indexed citations
13.
Burunat, Iballa, Petri Toiviainen, Vinoo Alluri, et al.. (2015). The reliability of continuous brain responses during naturalistic listening to music. NeuroImage. 124(Pt A). 224–231. 36 indexed citations
14.
Alluri, Vinoo, et al.. (2015). Event-related brain responses while listening to entire pieces of music. Neuroscience. 312. 58–73. 37 indexed citations
15.
Toiviainen, Petri, Vinoo Alluri, Elvira Brattico, Mikkel Wallentin, & Peter Vuust. (2013). Capturing the musical brain with Lasso: Dynamic decoding of musical features from fMRI data. NeuroImage. 88. 170–180. 66 indexed citations
16.
Cong, Fengyu, Vinoo Alluri, Tuomo Sipola, et al.. (2013). Key issues in decomposing fMRI during naturalistic and continuous music experience with independent component analysis. Journal of Neuroscience Methods. 223. 74–84. 23 indexed citations
17.
Burunat, Iballa, et al.. (2013). DYNAMICS OF BRAIN ACTIVITY UNDERLYING WORKING MEMORY FOR MUSIC IN A NATURALISTIC CONDITION. Frontiers in Neuroinformatics. 7. 1 indexed citations
18.
Alluri, Vinoo. (2012). Acoustic, neural, and perceptual correlates of polyphonic timbre. Jyväskylä University Digital Archive (University of Jyväskylä). 3 indexed citations
19.
Brattico, Elvira, Vinoo Alluri, Brigitte Bogert, et al.. (2011). A Functional MRI Study of Happy and Sad Emotions in Music with and without Lyrics. Frontiers in Psychology. 2. 308–308. 176 indexed citations
20.
Alluri, Vinoo, Petri Toiviainen, Iiro P. Jääskeläinen, et al.. (2011). Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm. NeuroImage. 59(4). 3677–3689. 247 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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