Rika Takegata

1.8k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Rika Takegata is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Rika Takegata has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 4 papers in Signal Processing. Recurrent topics in Rika Takegata's work include Neuroscience and Music Perception (21 papers), Hearing Loss and Rehabilitation (17 papers) and Multisensory perception and integration (9 papers). Rika Takegata is often cited by papers focused on Neuroscience and Music Perception (21 papers), Hearing Loss and Rehabilitation (17 papers) and Multisensory perception and integration (9 papers). Rika Takegata collaborates with scholars based in Finland, Hungary and Japan. Rika Takegata's co-authors include Risto Näätänen, Teemu Rinne, Satu Pakarinen, István Winkler, Petri Paavilainen, Minna Huotilainen, Elyse Sussman, Mari Tervaniemi, Risto Näätänen and Elvira Brattico and has published in prestigious journals such as Journal of Neuroscience, Experimental Brain Research and Psychophysiology.

In The Last Decade

Rika Takegata

23 papers receiving 1.3k citations

Hit Papers

The mismatch negativity (MMN): towards the optimal paradigm 2003 2026 2010 2018 2003 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
Rika Takegata Finland 16 1.3k 559 208 118 84 23 1.4k
Risto Näätänen Finland 11 1.3k 1.0× 571 1.0× 145 0.7× 136 1.2× 84 1.0× 11 1.3k
Richard Ragot France 22 1.5k 1.1× 550 1.0× 105 0.5× 109 0.9× 43 0.5× 37 1.6k
Risto Näätänen Finland 12 897 0.7× 376 0.7× 87 0.4× 175 1.5× 65 0.8× 16 968
Sabine Grimm Germany 26 1.6k 1.2× 618 1.1× 189 0.9× 35 0.3× 111 1.3× 63 1.6k
Elena Yago Spain 15 1.1k 0.8× 391 0.7× 67 0.3× 59 0.5× 48 0.6× 16 1.2k
R. Näätänen Finland 10 714 0.5× 302 0.5× 101 0.5× 70 0.6× 33 0.4× 10 773
Catherine M. Warrier United States 10 822 0.6× 231 0.4× 77 0.4× 200 1.7× 129 1.5× 13 923
Stefan Elmer Switzerland 25 1.3k 1.0× 340 0.6× 73 0.4× 242 2.1× 40 0.5× 58 1.4k
Rita Čeponien≐ Finland 12 997 0.8× 368 0.7× 63 0.3× 369 3.1× 101 1.2× 12 1.2k
Philippe Albouy Canada 16 959 0.7× 271 0.5× 111 0.5× 66 0.6× 26 0.3× 32 1.0k

Countries citing papers authored by Rika Takegata

Since Specialization
Citations

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

Fields of papers citing papers by Rika Takegata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Takegata

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Takegata. A scholar is included among the top collaborators of Rika Takegata 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 Rika Takegata. Rika Takegata 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.
2.
Takegata, Rika, et al.. (2011). Sound energy and the magnitude of change. Neuroreport. 22(4). 171–174. 3 indexed citations
3.
Takegata, Rika, et al.. (2011). The effects of visual material and temporal synchrony on the processing of letters and speech sounds. Experimental Brain Research. 211(2). 287–298. 15 indexed citations
4.
Takegata, Rika, et al.. (2009). Neural process underlying gap detection for spectrally rich and asymmetrical markers. Neuroreport. 20(12). 1120–1124. 1 indexed citations
5.
Takegata, Rika, Mari Tervaniemi, Paavo Alku, Sari Ylinen, & Risto Näätänen. (2008). Parameter-specific modulation of the mismatch negativity to duration decrement and increment: Evidence for asymmetric processes. Clinical Neurophysiology. 119(7). 1515–1523. 27 indexed citations
6.
Paavilainen, Petri, et al.. (2007). Preattentive detection of nonsalient contingencies between auditory features. Neuroreport. 18(2). 159–163. 91 indexed citations
7.
Sysoeva, Olga, Rika Takegata, & Risto Näätänen. (2006). Pre‐attentive representation of sound duration in the human brain. Psychophysiology. 43(3). 272–276. 10 indexed citations
8.
Takegata, Rika, et al.. (2005). Preattentive representation of feature conjunctions for concurrent spatially distributed auditory objects. Cognitive Brain Research. 25(1). 169–179. 46 indexed citations
9.
Winkler, István, Rika Takegata, & Elyse Sussman. (2005). Event-related brain potentials reveal multiple stages in the perceptual organization of sound. Cognitive Brain Research. 25(1). 291–299. 60 indexed citations
10.
Näätänen, Risto, et al.. (2004). Automatic time perception in the human brain for intervals ranging from milliseconds to seconds. Psychophysiology. 41(4). 660–663. 66 indexed citations
11.
Takegata, Rika, et al.. (2004). Effects of temporal grouping on the memory representation of inter-tone relationships. Biological Psychology. 68(1). 41–60. 16 indexed citations
12.
Takegata, Rika, Seiji Nakagawa, Mitsuo Tonoike, & Risto Näätänen. (2004). Hemispheric processing of duration changes in speech and non-speech sounds. Neuroreport. 15(10). 1683–1686. 25 indexed citations
13.
Takegata, Rika, et al.. (2003). A Paradigm to Measure Mismatch Negativity Responses to Phonetic and Acoustic Changes in Parallel. Audiology and Neurotology. 8(4). 234–241. 7 indexed citations
14.
Paavilainen, Petri, Alexander Degerman, Rika Takegata, & István Winkler. (2003). Spectral and temporal stimulus characteristics in the processing of abstract auditory features. Neuroreport. 14(5). 715–718. 26 indexed citations
15.
Näätänen, Risto, Satu Pakarinen, Teemu Rinne, & Rika Takegata. (2003). The mismatch negativity (MMN): towards the optimal paradigm. Clinical Neurophysiology. 115(1). 140–144. 542 indexed citations breakdown →
16.
Takegata, Rika, et al.. (2001). Common neural mechanism for processing onset-to-onset intervals and silent gaps in sound sequences. Neuroreport. 12(8). 1783–1787. 17 indexed citations
17.
Takegata, Rika, Minna Huotilainen, Teemu Rinne, Risto Näätänen, & István Winkler. (2001). Changes in acoustic features and their conjunctions are processed by separate neuronal populations. Neuroreport. 12(3). 525–529. 32 indexed citations
18.
Takegata, Rika, Petri Paavilainen, Risto Näätänen, & István Winkler. (1999). Independent processing of changes in auditory single features and feature conjunctions in humans as indexed by the mismatch negativity. Neuroscience Letters. 266(2). 109–112. 64 indexed citations
19.
Takegata, Rika, et al.. (1999). Integrated neural representation of sound and temporal features in human auditory sensory memory: an event-related potential study. Neuroscience Letters. 274(3). 207–210. 26 indexed citations
20.
Takegata, Rika, et al.. (1993). PERCEPTUAL PRIMING EFFECT IN MENTALLY RETARDED PERSONS: IMPLICIT AND EXPLICIT REMEMBERING. The Japanese Journal of Educational Psychology. 41(2). 176–182. 11 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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