David Aagten‐Murphy

833 total citations
22 papers, 579 citations indexed

About

David Aagten‐Murphy is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, David Aagten‐Murphy has authored 22 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 8 papers in Statistics and Probability. Recurrent topics in David Aagten‐Murphy's work include Visual perception and processing mechanisms (11 papers), Cognitive and developmental aspects of mathematical skills (8 papers) and Multisensory perception and integration (6 papers). David Aagten‐Murphy is often cited by papers focused on Visual perception and processing mechanisms (11 papers), Cognitive and developmental aspects of mathematical skills (8 papers) and Multisensory perception and integration (6 papers). David Aagten‐Murphy collaborates with scholars based in United Kingdom, Italy and Germany. David Aagten‐Murphy's co-authors include David C. Burr, Elizabeth Pellicano, Paul M. Bays, Jessica Taubert, David Alais, Deborah Apthorp, Giulia Cappagli, Maria Concetta Morrone, Louise Neil and Themelis Karaminis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Journal of Neurophysiology.

In The Last Decade

David Aagten‐Murphy

21 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Aagten‐Murphy United Kingdom 13 486 166 112 107 75 22 579
Shannon Ross‐Sheehy United States 14 383 0.8× 90 0.5× 103 0.9× 367 3.4× 86 1.1× 24 696
Matteo Lisi United Kingdom 15 359 0.7× 57 0.3× 62 0.6× 34 0.3× 36 0.5× 38 517
Julie A. Kirkby United Kingdom 15 403 0.8× 68 0.4× 116 1.0× 266 2.5× 44 0.6× 31 586
Katrina Ferrara United States 10 173 0.4× 68 0.4× 59 0.5× 208 1.9× 111 1.5× 17 459
Inês Bramão Sweden 13 304 0.6× 77 0.5× 135 1.2× 188 1.8× 40 0.5× 26 474
Cara H. Cashon United States 12 415 0.9× 52 0.3× 271 2.4× 290 2.7× 38 0.5× 23 648
Eva Dundas United States 9 432 0.9× 34 0.2× 94 0.8× 156 1.5× 25 0.3× 12 472
Anna Ma-Wyatt Australia 11 471 1.0× 150 0.9× 68 0.6× 322 3.0× 123 1.6× 37 680
Jeffrey R. W. Mounts United States 16 764 1.6× 31 0.2× 302 2.7× 53 0.5× 63 0.8× 27 948
Jeff Moher United States 14 697 1.4× 25 0.2× 147 1.3× 111 1.0× 30 0.4× 29 794

Countries citing papers authored by David Aagten‐Murphy

Since Specialization
Citations

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

Fields of papers citing papers by David Aagten‐Murphy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Aagten‐Murphy

This figure shows the co-authorship network connecting the top 25 collaborators of David Aagten‐Murphy. A scholar is included among the top collaborators of David Aagten‐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 David Aagten‐Murphy. David Aagten‐Murphy 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.
Prpić, Valter, et al.. (2025). Seeing the fours before the threes: investigating numerical signatures with hierarchical navon stimuli. Psychological Research. 89(4). 121–121.
2.
Aagten‐Murphy, David, et al.. (2023). Contralateral delay activity, but not alpha lateralization, indexes prioritization of information for working memory storage. Attention Perception & Psychophysics. 85(3). 718–733. 1 indexed citations
3.
Taylor, Robert, Ivan Tomić, David Aagten‐Murphy, & Paul M. Bays. (2022). Working memory is updated by reallocation of resources from obsolete to new items. Attention Perception & Psychophysics. 85(5). 1437–1451. 5 indexed citations
4.
Schneegans, Sebastian, et al.. (2021). Transsaccadic integration relies on a limited memory resource. Journal of Vision. 21(5). 24–24. 5 indexed citations
5.
Aagten‐Murphy, David, et al.. (2021). Transsaccadic integration operates independently in different feature dimensions. Journal of Vision. 21(7). 7–7. 1 indexed citations
6.
Szinte, Martin, et al.. (2020). Sounds are remapped across saccades. Scientific Reports. 10(1). 21332–21332. 3 indexed citations
7.
Aagten‐Murphy, David, et al.. (2020). The Brain’s Asymmetric Frequency Tuning: Asymmetric Behavior Originates from Asymmetric Perception. Symmetry. 12(12). 2083–2083. 10 indexed citations
8.
Aagten‐Murphy, David & Paul M. Bays. (2019). Independent working memory resources for egocentric and allocentric spatial information. PLoS Computational Biology. 15(2). e1006563–e1006563. 17 indexed citations
9.
Hanning, Nina M., David Aagten‐Murphy, & Heiner Deubel. (2018). Independent selection of eye and hand targets suggests effector-specific attentional mechanisms. Scientific Reports. 8(1). 9434–9434. 33 indexed citations
10.
Aagten‐Murphy, David & Paul M. Bays. (2018). Functions of Memory Across Saccadic Eye Movements. Current topics in behavioral neurosciences. 41. 155–183. 24 indexed citations
11.
Karaminis, Themelis, Guido Marco Cicchini, Louise Neil, et al.. (2016). Central tendency effects in time interval reproduction in autism. Scientific Reports. 6(1). 28570–28570. 85 indexed citations
12.
Castaldi, Elisa, David Aagten‐Murphy, Michela Tosetti, David C. Burr, & Maria Concetta Morrone. (2016). Effects of adaptation on numerosity decoding in the human brain. NeuroImage. 143. 364–377. 54 indexed citations
13.
Tinelli, Francesca, Giovanni Anobile, Monica Gori, et al.. (2015). Time, number and attention in very low birth weight children. Neuropsychologia. 73. 60–69. 21 indexed citations
14.
Turi, Marco, David C. Burr, Roberta Igliozzi, et al.. (2015). Children with autism spectrum disorder show reduced adaptation to number. Proceedings of the National Academy of Sciences. 112(25). 7868–7872. 74 indexed citations
15.
Aagten‐Murphy, David, et al.. (2015). Numerical Estimation in Children With Autism. Autism Research. 8(6). 668–681. 21 indexed citations
16.
Aagten‐Murphy, David, John R. Iversen, Christina L. Williams, & Warren H. Meck. (2014). Novel Inversions in Auditory Sequences Provide Evidence for Spontaneous Subtraction of Time and Number. Timing & Time Perception. 2(2). 188–209. 14 indexed citations
17.
Aagten‐Murphy, David, Giulia Cappagli, & David C. Burr. (2013). Musical training generalises across modalities and reveals efficient and adaptive mechanisms for reproducing temporal intervals. Acta Psychologica. 147. 25–33. 20 indexed citations
18.
Taubert, Jessica, David Aagten‐Murphy, & Lisa A. Parr. (2012). A Comparative Study of Face Processing Using Scrambled Faces. Perception. 41(4). 460–473. 9 indexed citations
19.
Manning, Catherine, David Aagten‐Murphy, & Elizabeth Pellicano. (2012). The development of speed discrimination abilities. Vision Research. 70. 27–33. 36 indexed citations
20.
Taubert, Jessica, Deborah Apthorp, David Aagten‐Murphy, & David Alais. (2011). The role of holistic processing in face perception: Evidence from the face inversion effect. Vision Research. 51(11). 1273–1278. 96 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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