Sinead Rocha

522 total citations
17 papers, 193 citations indexed

About

Sinead Rocha is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Social Psychology. According to data from OpenAlex, Sinead Rocha has authored 17 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 7 papers in Developmental and Educational Psychology and 2 papers in Social Psychology. Recurrent topics in Sinead Rocha's work include Neuroscience and Music Perception (12 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Sinead Rocha is often cited by papers focused on Neuroscience and Music Perception (12 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (5 papers). Sinead Rocha collaborates with scholars based in United Kingdom, France and Ireland. Sinead Rocha's co-authors include Denis Mareschal, Adam Attaheri, Usha Goswami, Caspar Addyman, Áine Ní Choisdealbha, Perrine Brusini, Natasha Mead, Sheila Flanagan, Giovanni M. Di Liberto and Victoria Southgate and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Sinead Rocha

17 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sinead Rocha United Kingdom	8	152	78	28	25	22	17	193
Anthony Brandt United States	6	157 1.0×	52 0.7×	69 2.5×	49 2.0×	9 0.4×	19	224
Enikő Ladányi United States	8	238 1.6×	170 2.2×	54 1.9×	37 1.5×	5 0.2×	12	309
Paula Virtala Finland	13	331 2.2×	139 1.8×	95 3.4×	50 2.0×	27 1.2×	25	398
Silvia Bonacina United States	10	171 1.1×	110 1.4×	27 1.0×	13 0.5×	7 0.3×	22	244
Perrine Brusini United Kingdom	10	182 1.2×	187 2.4×	49 1.8×	14 0.6×	27 1.2×	22	311
Adam Attaheri United Kingdom	8	167 1.1×	106 1.4×	37 1.3×	10 0.4×	13 0.6×	17	229
Parker Tichko United States	7	188 1.2×	14 0.2×	41 1.5×	26 1.0×	10 0.5×	12	208
Anna Fiveash France	13	360 2.4×	153 2.0×	110 3.9×	77 3.1×	6 0.3×	20	417
Christina M. Vanden Bosch der Nederlanden United States	9	174 1.1×	23 0.3×	61 2.2×	21 0.8×	11 0.5×	14	194
Natalie Boll‐Avetisyan Germany	10	109 0.7×	157 2.0×	160 5.7×	13 0.5×	10 0.5×	28	251

Countries citing papers authored by Sinead Rocha

Since Specialization

Citations

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

Fields of papers citing papers by Sinead Rocha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sinead Rocha

This figure shows the co-authorship network connecting the top 25 collaborators of Sinead Rocha. A scholar is included among the top collaborators of Sinead Rocha 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 Sinead Rocha. Sinead Rocha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Rocha, Sinead, Adam Attaheri, Áine Ní Choisdealbha, et al.. (2024). Precursors to infant sensorimotor synchronization to speech and non‐speech rhythms: A longitudinal study. Developmental Science. 27(4). e13483–e13483. 2 indexed citations

Rocha, Sinead, Áine Ní Choisdealbha, Adam Attaheri, et al.. (2024). Language Acquisition in the Longitudinal Cambridge UK BabyRhythm Cohort. Collabra Psychology. 10(1). 2 indexed citations

Choisdealbha, Áine Ní, Adam Attaheri, Sinead Rocha, et al.. (2024). Cortical tracking of visual rhythmic speech by 5‐ and 8‐month‐old infants: Individual differences in phase angle relate to language outcomes up to 2 years. Developmental Science. 27(4). 3 indexed citations

Attaheri, Adam, Áine Ní Choisdealbha, Sinead Rocha, et al.. (2024). Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later. PLoS ONE. 19(12). e0313274–e0313274. 1 indexed citations

Liberto, Giovanni M. Di, Adam Attaheri, Richard B. Reilly, et al.. (2023). Emergence of the cortical encoding of phonetic features in the first year of life. Nature Communications. 14(1). 7789–7789. 16 indexed citations

Choisdealbha, Áine Ní, Adam Attaheri, Sinead Rocha, et al.. (2023). Decoding speech information from EEG data with 4-, 7- and 11-month-old infants: Using convolutional neural network, mutual information-based and backward linear models. Journal of Neuroscience Methods. 403. 110036–110036. 4 indexed citations

Choisdealbha, Áine Ní, Adam Attaheri, Sinead Rocha, et al.. (2023). Neural phase angle from two months when tracking speech and non-speech rhythm linked to language performance from 12 to 24 months. Brain and Language. 243. 105301–105301. 10 indexed citations

Choisdealbha, Áine Ní, Adam Attaheri, Sinead Rocha, et al.. (2022). Neural detection of changes in amplitude rise time in infancy. Developmental Cognitive Neuroscience. 54. 101075–101075. 2 indexed citations

Attaheri, Adam, Áine Ní Choisdealbha, Giovanni M. Di Liberto, et al.. (2022). Cortical Tracking of Sung Speech in Adults vs Infants: A Developmental Analysis. Frontiers in Neuroscience. 16. 842447–842447. 10 indexed citations

10.

Rocha, Sinead & Caspar Addyman. (2022). Assessing Sensorimotor Synchronisation in Toddlers Using the Lookit Online Experiment Platform and Automated Movement Extraction. Frontiers in Psychology. 13. 897230–897230. 5 indexed citations

11.

Attaheri, Adam, Áine Ní Choisdealbha, Sinead Rocha, et al.. (2021). Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG. Brain and Language. 220. 104968–104968. 13 indexed citations

12.

Attaheri, Adam, Áine Ní Choisdealbha, Giovanni M. Di Liberto, et al.. (2021). Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants. NeuroImage. 247. 118698–118698. 62 indexed citations

13.

Rocha, Sinead, Victoria Southgate, & Denis Mareschal. (2021). Rate of infant carrying impacts infant spontaneous motor tempo. Royal Society Open Science. 8(9). 210608–210608. 6 indexed citations

14.

Rocha, Sinead, Victoria Southgate, & Denis Mareschal. (2020). Infant Spontaneous Motor Tempo. Developmental Science. 24(2). e13032–e13032. 14 indexed citations

15.

Addyman, Caspar, et al.. (2016). Embodiment and the origin of interval timing: kinematic and electromyographic data. Experimental Brain Research. 235(3). 923–930. 4 indexed citations

16.

Rocha, Sinead & Denis Mareschal. (2016). Getting into the Groove: The Development of Tempo‐Flexibility Between 10 and 18 Months of Age. Infancy. 22(4). 540–551. 18 indexed citations

17.

Addyman, Caspar, Sinead Rocha, & Denis Mareschal. (2014). Mapping the origins of time: Scalar errors in infant time estimation.. Developmental Psychology. 50(8). 2030–2035. 21 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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