Nicolas Barascud

940 total citations
9 papers, 490 citations indexed

About

Nicolas Barascud is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Nicolas Barascud has authored 9 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 1 paper in Signal Processing. Recurrent topics in Nicolas Barascud's work include Neural dynamics and brain function (7 papers), Neuroscience and Music Perception (5 papers) and Hearing Loss and Rehabilitation (3 papers). Nicolas Barascud is often cited by papers focused on Neural dynamics and brain function (7 papers), Neuroscience and Music Perception (5 papers) and Hearing Loss and Rehabilitation (3 papers). Nicolas Barascud collaborates with scholars based in United Kingdom, France and United States. Nicolas Barascud's co-authors include Maria Chait, Timothy D. Griffiths, Karl Friston, Marcus T. Pearce, Andrea R. Halpern, Phillip E. Gander, Sabine Joseph, Sukhbinder Kumar, Rosy Southwell and Sundeep Teki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Nicolas Barascud

9 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Barascud United Kingdom	7	463	144	56	42	31	9	490
Jess R. Kerlin United States	9	543 1.2×	164 1.1×	57 1.0×	46 1.1×	26 0.8×	13	605
Tobias Overath United States	10	479 1.0×	137 1.0×	66 1.2×	41 1.0×	17 0.5×	21	510
Johanna M. Rimmele Germany	12	573 1.2×	217 1.5×	58 1.0×	20 0.5×	19 0.6×	24	610
Johahn Leung Australia	11	376 0.8×	165 1.1×	35 0.6×	60 1.4×	78 2.5×	19	436
Gregory B. Cogan United States	7	410 0.9×	186 1.3×	76 1.4×	38 0.9×	17 0.5×	8	490
Ville Mäkinen Finland	13	509 1.1×	163 1.1×	62 1.1×	20 0.5×	18 0.6×	25	539
Trevor Agus France	13	456 1.0×	147 1.0×	114 2.0×	41 1.0×	90 2.9×	25	519
Sabine Joseph United Kingdom	8	394 0.9×	84 0.6×	17 0.3×	21 0.5×	19 0.6×	9	437
Jonathan H. Venezia United States	12	362 0.8×	217 1.5×	39 0.7×	51 1.2×	26 0.8×	26	428
Mads Hansen Denmark	7	263 0.6×	54 0.4×	36 0.6×	18 0.4×	27 0.9×	9	311

Countries citing papers authored by Nicolas Barascud

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Barascud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Barascud

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

All Works

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9 of 9 papers shown

Barascud, Nicolas, et al.. (2021). Dynamics underlying auditory‐object‐boundary detection in primary auditory cortex. European Journal of Neuroscience. 54(9). 7274–7288. 2 indexed citations

Auksztulewicz, Ryszard, Nicolas Barascud, Gerald Cooray, et al.. (2017). The Cumulative Effects of Predictability on Synaptic Gain in the Auditory Processing Stream. Journal of Neuroscience. 37(28). 6751–6760. 36 indexed citations

Southwell, Rosy, et al.. (2017). Is predictability salient? A study of attentional capture by auditory patterns. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1714). 20160105–20160105. 86 indexed citations

Barascud, Nicolas, Marcus T. Pearce, Timothy D. Griffiths, Karl Friston, & Maria Chait. (2016). Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns. Proceedings of the National Academy of Sciences. 113(5). E616–25. 160 indexed citations

Kumar, Sukhbinder, Sabine Joseph, Phillip E. Gander, et al.. (2016). A Brain System for Auditory Working Memory. Journal of Neuroscience. 36(16). 4492–4505. 124 indexed citations

Teki, Sundeep, et al.. (2016). Neural Correlates of Auditory Figure-Ground Segregation Based on Temporal Coherence. Cerebral Cortex. 26(9). 3669–3680. 57 indexed citations

Barascud, Nicolas, et al.. (2016). Supplementary material from "Is predictability salient? A study of attentional capture by auditory patterns". Figshare. 1 indexed citations

Barascud, Nicolas, et al.. (2015). Sound segregation via embedded repetition is robust to inattention.. Journal of Experimental Psychology Human Perception & Performance. 42(3). 386–400. 17 indexed citations

Barascud, Nicolas, Timothy D. Griffiths, David McAlpine, & Maria Chait. (2013). “Change Deafness” Arising from Inter-feature Masking within a Single Auditory Object. Journal of Cognitive Neuroscience. 26(3). 514–528. 7 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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