Miranda Scolari

1.2k total citations
22 papers, 799 citations indexed

About

Miranda Scolari is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Miranda Scolari has authored 22 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 6 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Miranda Scolari's work include Neural and Behavioral Psychology Studies (17 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (6 papers). Miranda Scolari is often cited by papers focused on Neural and Behavioral Psychology Studies (17 papers), Visual perception and processing mechanisms (16 papers) and Neural dynamics and brain function (6 papers). Miranda Scolari collaborates with scholars based in United States, Italy and South Korea. Miranda Scolari's co-authors include John T. Serences, Edward Awh, Sabine Kästner, Edward K. Vogel, Brian Barton, Sameer Saproo, Teh C. Ho, L. Tugan Muftuler, Akina Umemoto and Edward F. Ester and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Neurophysiology.

In The Last Decade

Miranda Scolari

22 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miranda Scolari United States 10 730 115 74 61 38 22 799
Shahab Ghorashi Canada 11 600 0.8× 120 1.0× 42 0.6× 37 0.6× 28 0.7× 15 650
Benjamin J. Tamber-Rosenau United States 12 686 0.9× 132 1.1× 70 0.9× 49 0.8× 38 1.0× 27 805
Timothy J. Vickery United States 12 540 0.7× 163 1.4× 93 1.3× 88 1.4× 54 1.4× 30 647
Nadine Dijkstra United Kingdom 11 729 1.0× 163 1.4× 108 1.5× 48 0.8× 42 1.1× 21 862
Elisa Santandrea Italy 11 865 1.2× 178 1.5× 82 1.1× 50 0.8× 35 0.9× 29 942
Todd A. Kelley United States 11 484 0.7× 84 0.7× 47 0.6× 54 0.9× 29 0.8× 12 539
Silu Fan China 15 988 1.4× 198 1.7× 90 1.2× 41 0.7× 56 1.5× 24 1.0k
Daryl E. Wilson Canada 14 600 0.8× 167 1.5× 67 0.9× 26 0.4× 81 2.1× 24 687
Karsten Rauss Germany 11 673 0.9× 150 1.3× 67 0.9× 22 0.4× 31 0.8× 24 755
Matthew S. Tata Canada 13 450 0.6× 140 1.2× 37 0.5× 26 0.4× 25 0.7× 36 566

Countries citing papers authored by Miranda Scolari

Since Specialization
Citations

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

Fields of papers citing papers by Miranda Scolari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miranda Scolari

This figure shows the co-authorship network connecting the top 25 collaborators of Miranda Scolari. A scholar is included among the top collaborators of Miranda Scolari 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 Miranda Scolari. Miranda Scolari 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.
Serra, Michael J., et al.. (2025). Individual differences in mental imagery do not moderate the animacy advantage in memory. Journal of Memory and Language. 143. 104638–104638. 1 indexed citations
2.
Alquist, Jessica L., et al.. (2024). Changes in pupil size track self-control failure. Experimental Brain Research. 242(4). 829–841. 1 indexed citations
3.
Yang, Winson Fu Zun & Miranda Scolari. (2023). Trait Mindfulness is Associated with Dynamic Affective Qualities of Free-Moving Thought. Mindfulness. 14(11). 2780–2794. 1 indexed citations
4.
Scolari, Miranda, et al.. (2023). Space- and feature-based attention operate both independently and interactively within latent components of perceptual decision making. Journal of Vision. 23(1). 12–12. 3 indexed citations
5.
Scolari, Miranda, et al.. (2023). Category Learning Selectively Enhances Representations of Boundary-Adjacent Exemplars in Early Visual Cortex. Journal of Neuroscience. 44(3). e1039232023–e1039232023. 1 indexed citations
6.
Scolari, Miranda, et al.. (2021). Automatic object-based spatial selection depends on the distribution of sustained attention. Attention Perception & Psychophysics. 83(7). 2806–2821. 1 indexed citations
7.
Scolari, Miranda, et al.. (2021). Phasic pupillary responses modulate object-based attentional prioritization. Attention Perception & Psychophysics. 83(4). 1491–1507. 6 indexed citations
8.
Scolari, Miranda, et al.. (2020). Limited interactions between space- and feature-based attention in visually sparse displays. Journal of Vision. 20(4). 5–5. 5 indexed citations
9.
Scolari, Miranda & Edward Awh. (2019). Object-based biased competition during covert spatial orienting. Attention Perception & Psychophysics. 81(5). 1366–1385. 6 indexed citations
10.
Scolari, Miranda, et al.. (2014). Functions of the human frontoparietal attention network: Evidence from neuroimaging. Current Opinion in Behavioral Sciences. 1. 32–39. 199 indexed citations
11.
Scolari, Miranda & Sabine Kästner. (2013). Mechanisms of attentional control in fronto-parietal cortex across spatial positions. Journal of Vision. 13(9). 288–288. 1 indexed citations
12.
Scolari, Miranda, et al.. (2012). Optimal Deployment of Attentional Gain during Fine Discriminations. Journal of Neuroscience. 32(22). 7723–7733. 71 indexed citations
13.
Umemoto, Akina, Miranda Scolari, Edward K. Vogel, & Edward Awh. (2010). Statistical learning induces discrete shifts in the allocation of working memory resources.. Journal of Experimental Psychology Human Perception & Performance. 36(6). 1419–1429. 53 indexed citations
14.
Scolari, Miranda, et al.. (2009). Experience-dependent changes in the topography of visual crowding. Journal of Vision. 9(11). 15–15. 8 indexed citations
15.
Scolari, Miranda & John T. Serences. (2009). Adaptive Allocation of Attentional Gain. Journal of Neuroscience. 29(38). 11933–11942. 78 indexed citations
16.
Scolari, Miranda, Edward K. Vogel, & Edward Awh. (2008). Perceptual expertise enhances the resolution but not the number of representations in working memory. Psychonomic Bulletin & Review. 15(1). 215–222. 91 indexed citations
17.
Serences, John T., Sameer Saproo, Miranda Scolari, Teh C. Ho, & L. Tugan Muftuler. (2008). Estimating the influence of attention on population codes in human visual cortex using voxel-based tuning functions. NeuroImage. 44(1). 223–231. 91 indexed citations
18.
Serences, John T., Miranda Scolari, & Edward Awh. (2008). Online response-selection and the attentional blink: Multiple-processing channels. Visual Cognition. 17(4). 531–554. 3 indexed citations
19.
Scolari, Miranda, et al.. (2007). Spatial attention, preview, and popout: Which factors influence critical spacing in crowded displays?. Journal of Vision. 7(2). 7–7. 103 indexed citations
20.
Olson, Ryan, et al.. (2007). A DIAGNOSTIC APPROACH TO INCREASE REUSABLE DINNERWARE SELECTION IN A CAFETERIA. Journal of Applied Behavior Analysis. 40(2). 301–310. 17 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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