Charlotte Murphy

2.1k total citations
15 papers, 1.2k citations indexed

About

Charlotte Murphy is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Charlotte Murphy has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 2 papers in Social Psychology. Recurrent topics in Charlotte Murphy's work include Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Charlotte Murphy is often cited by papers focused on Functional Brain Connectivity Studies (9 papers), Neural dynamics and brain function (6 papers) and Neural and Behavioral Psychology Studies (6 papers). Charlotte Murphy collaborates with scholars based in United Kingdom, France and Germany. Charlotte Murphy's co-authors include Elizabeth Jefferies, Jonathan Smallwood, Hao-Ting Wang, Theodoros Karapanagiotidis, Mladen Sormaz, Daniel S. Margulies, Boris C. Bernhardt, Giulia Poerio, Hannah E. Thompson and Katya Krieger‐Redwood and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Charlotte Murphy

15 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Charlotte Murphy United Kingdom	14	1.1k	303	137	109	91	15	1.2k
Theodoros Karapanagiotidis United Kingdom	19	1.4k 1.3×	442 1.5×	135 1.0×	128 1.2×	110 1.2×	33	1.5k
Jesse Gomez United States	18	1.1k 1.0×	253 0.8×	224 1.6×	100 0.9×	71 0.8×	31	1.3k
Krystyna A. Mathiak Germany	18	638 0.6×	258 0.9×	77 0.6×	129 1.2×	115 1.3×	32	919
Hannes Ruge Germany	20	1.0k 0.9×	224 0.7×	54 0.4×	143 1.3×	113 1.2×	55	1.2k
Hitha Amin United States	3	720 0.7×	265 0.9×	229 1.7×	131 1.2×	111 1.2×	3	1.0k
Ilona Henseler Germany	13	574 0.5×	154 0.5×	100 0.7×	96 0.9×	100 1.1×	19	708
Ana Sanjuán Spain	18	655 0.6×	291 1.0×	118 0.9×	208 1.9×	187 2.1×	23	997
Andrew E. Reineberg United States	11	683 0.6×	251 0.8×	97 0.7×	39 0.4×	88 1.0×	22	845
Lauren M. DiNicola United States	13	1.1k 1.0×	205 0.7×	250 1.8×	103 0.9×	113 1.2×	17	1.3k
Takahiko Koike Japan	17	848 0.8×	199 0.7×	93 0.7×	336 3.1×	63 0.7×	37	1.0k

Countries citing papers authored by Charlotte Murphy

Since Specialization

Citations

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

Fields of papers citing papers by Charlotte Murphy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Murphy

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

All Works

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15 of 15 papers shown

Smallwood, Jonathan, Adam Turnbull, Hao-Ting Wang, et al.. (2021). The neural correlates of ongoing conscious thought. iScience. 24(3). 102132–102132. 59 indexed citations

Murphy, Charlotte, et al.. (2021). Temporal proximity to the elicitation of curiosity is key for enhancing memory for incidental information. Learning & Memory. 28(2). 34–39. 17 indexed citations

Turnbull, Adam, Hao-Ting Wang, Charlotte Murphy, et al.. (2019). Left dorsolateral prefrontal cortex supports context-dependent prioritisation of off-task thought. Nature Communications. 10(1). 3816–3816. 120 indexed citations

Murphy, Charlotte, Giulia Poerio, Mladen Sormaz, et al.. (2019). Hello, is that me you are looking for? A re-examination of the role of the DMN in social and self relevant aspects of off-task thought. PLoS ONE. 14(11). e0216182–e0216182. 14 indexed citations

Sormaz, Mladen, Charlotte Murphy, Hao-Ting Wang, et al.. (2018). Default mode network can support the level of detail in experience during active task states. Proceedings of the National Academy of Sciences. 115(37). 9318–9323. 180 indexed citations

Murphy, Charlotte, Elizabeth Jefferies, Shirley‐Ann Rueschemeyer, et al.. (2018). Distant from input: Evidence of regions within the default mode network supporting perceptually-decoupled and conceptually-guided cognition. NeuroImage. 171. 393–401. 166 indexed citations

Murphy, Charlotte, Hao-Ting Wang, Delali Konu, et al.. (2018). Modes of operation: A topographic neural gradient supporting stimulus dependent and independent cognition. NeuroImage. 186. 487–496. 83 indexed citations

Alam, Tirso RJ Gonzalez, Charlotte Murphy, Jonathan Smallwood, & Elizabeth Jefferies. (2018). Meaningful inhibition: Exploring the role of meaning and modality in response inhibition. NeuroImage. 181. 108–119. 23 indexed citations

Murphy, Charlotte, Shirley‐Ann Rueschemeyer, Jonathan Smallwood, & Elizabeth Jefferies. (2018). Imagining Sounds and Images: Decoding the Contribution of Unimodal and Transmodal Brain Regions to Semantic Retrieval in the Absence of Meaningful Input. Journal of Cognitive Neuroscience. 31(11). 1599–1616. 9 indexed citations

10.

Vatansever, Deniz, Danilo Bzdok, Hao-Ting Wang, et al.. (2017). Varieties of semantic cognition revealed through simultaneous decomposition of intrinsic brain connectivity and behaviour. NeuroImage. 158. 1–11. 60 indexed citations

11.

Wang, Hao-Ting, Giulia Poerio, Charlotte Murphy, et al.. (2017). Dimensions of Experience: Exploring the Heterogeneity of the Wandering Mind. Psychological Science. 29(1). 56–71. 99 indexed citations

12.

Mollo, Giovanna, Theodoros Karapanagiotidis, Boris C. Bernhardt, et al.. (2016). An individual differences analysis of the neurocognitive architecture of the semantic system at rest. Brain and Cognition. 109. 112–123. 14 indexed citations

13.

Murphy, Charlotte, et al.. (2016). Fractionating the anterior temporal lobe: MVPA reveals differential responses to input and conceptual modality. NeuroImage. 147. 19–31. 40 indexed citations

14.

Thompson, Hannah E., Glyn Hallam, Theodoros Karapanagiotidis, et al.. (2016). Exploring the role of the posterior middle temporal gyrus in semantic cognition: Integration of anterior temporal lobe with executive processes. NeuroImage. 137. 165–177. 296 indexed citations

15.

Ecker, Christine, Yue Feng, Eileen Daly, et al.. (2014). The effect of age, diagnosis, and their interaction on vertex-based measures of cortical thickness and surface area in autism spectrum disorder. Journal of Neural Transmission. 121(9). 1157–1170. 47 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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