Nir Shalev

486 total citations
25 papers, 236 citations indexed

About

Nir Shalev is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nir Shalev has authored 25 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 3 papers in Developmental and Educational Psychology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nir Shalev's work include Neural and Behavioral Psychology Studies (16 papers), Visual perception and processing mechanisms (8 papers) and Neural dynamics and brain function (6 papers). Nir Shalev is often cited by papers focused on Neural and Behavioral Psychology Studies (16 papers), Visual perception and processing mechanisms (8 papers) and Neural dynamics and brain function (6 papers). Nir Shalev collaborates with scholars based in United Kingdom, Israel and United States. Nir Shalev's co-authors include Anna C. Nobre, Nele Demeyere, Tomer Carmel, Dominique Lamy, Magdalena Chechlacz, Sage Boettcher, Glyn W. Humphreys, Lilach Shalev, Jeremy M. Wolfe and Méadhbh Brosnan and has published in prestigious journals such as Child Development, Trends in Cognitive Sciences and Scientific Reports.

In The Last Decade

Nir Shalev

24 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nir Shalev United Kingdom 11 189 34 30 26 19 25 236
Lena J. Skalaban United States 6 184 1.0× 55 1.6× 25 0.8× 8 0.3× 22 1.2× 11 247
Tristan S. Yates United States 10 234 1.2× 74 2.2× 38 1.3× 9 0.3× 24 1.3× 15 313
Andrew C. Heusser United States 9 341 1.8× 52 1.5× 38 1.3× 37 1.4× 9 0.5× 16 432
Martin A. Frost Netherlands 7 339 1.8× 38 1.1× 49 1.6× 14 0.5× 18 0.9× 9 383
Maha Adamo Canada 7 281 1.5× 35 1.0× 52 1.7× 33 1.3× 27 1.4× 8 316
Amy Louise Atkinson United Kingdom 10 202 1.1× 43 1.3× 87 2.9× 36 1.4× 5 0.3× 20 279
Oscar Woolnough United States 8 218 1.2× 86 2.5× 32 1.1× 39 1.5× 8 0.4× 18 287
Brandi Lee Drisdelle Canada 8 224 1.2× 30 0.9× 68 2.3× 11 0.4× 10 0.5× 18 294
Iris Wiegand Germany 14 348 1.8× 21 0.6× 43 1.4× 72 2.8× 13 0.7× 41 432
Kurt Braunlich United States 10 220 1.2× 64 1.9× 37 1.2× 13 0.5× 3 0.2× 12 282

Countries citing papers authored by Nir Shalev

Since Specialization
Citations

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

Fields of papers citing papers by Nir Shalev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Shalev

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Shalev. A scholar is included among the top collaborators of Nir Shalev 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 Nir Shalev. Nir Shalev 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.
Shalev, Nir, Sage Boettcher, & Anna C. Nobre. (2025). Age-invariant benefits of spatiotemporal predictions amidst distraction during dynamic visual search. Scientific Reports. 15(1). 17078–17078.
2.
Shalev, Nir, Sage Boettcher, & Anna C. Nobre. (2024). Spatiotemporal predictions guide attention throughout the adult lifespan. npj Science of Learning. 9(1). 70–70. 1 indexed citations
3.
Brosnan, Méadhbh, et al.. (2022). Right fronto-parietal networks mediate the neurocognitive benefits of enriched environments. Brain Communications. 4(2). fcac080–fcac080. 6 indexed citations
4.
Shalev, Nir, et al.. (2022). Rhythmic modulation of visual discrimination is linked to individuals' spontaneous motor tempo. European Journal of Neuroscience. 57(4). 646–656. 3 indexed citations
5.
Shalev, Nir & Anna C. Nobre. (2022). Eyes wide open: Regulation of arousal by temporal expectations. Cognition. 224. 105062–105062. 12 indexed citations
6.
Shalev, Nir, Sage Boettcher, Hannah Wilkinson, Gaia Scerif, & Anna C. Nobre. (2022). Be there on time: Spatial-temporal regularities guide young children’s attention in dynamic environments. Child Development. 93(5). 1414–1426. 7 indexed citations
7.
Boettcher, Sage, Nir Shalev, Jeremy M. Wolfe, & Anna C. Nobre. (2021). Right place, right time: Spatiotemporal predictions guide attention in dynamic visual search.. Journal of Experimental Psychology General. 151(2). 348–362. 21 indexed citations
8.
Shalev, Nir & Freek van Ede. (2021). About time: modelling dynamic voluntary attention. Trends in Cognitive Sciences. 25(10). 821–822. 3 indexed citations
9.
Shalev, Nir, Hannah Wilkinson, Sage Boettcher, Gaia Scerif, & Anna C. Nobre. (2020). Temporal regularities guide spatial attention in young children. Journal of Vision. 20(11). 1050–1050. 2 indexed citations
10.
Shalev, Nir, Signe Vangkilde, Matt J. Neville, et al.. (2019). Dissociable Catecholaminergic Modulation of Visual Attention: Differential Effects of Catechol-O-Methyltransferase and Dopamine Beta-Hydroxylase Genes on Visual Attention. Neuroscience. 412. 175–189. 14 indexed citations
11.
Shalev, Nir, Anna‐Katharina R. Bauer, & Anna C. Nobre. (2019). The tempos of performance. Current Opinion in Psychology. 29. 254–260. 16 indexed citations
12.
Shalev, Nir, Sage Boettcher, & Anna C. Nobre. (2019). Right time, right place: implicit learning of target onsets in a visual search task. Journal of Vision. 19(10). 255b–255b. 3 indexed citations
13.
Shalev, Nir, Ann Steele, Anna C. Nobre, et al.. (2019). Dynamic sustained attention markers differentiate atypical development: The case of Williams syndrome and Down's syndrome. Neuropsychologia. 132. 107148–107148. 9 indexed citations
14.
Shalev, Nir & Anna C. Nobre. (2018). The Effects of Rhythmic Structures on Visual Attention Parameters. Journal of Vision. 18(10). 1030–1030. 1 indexed citations
15.
Shalev, Nir, Glyn W. Humphreys, & Nele Demeyere. (2017). Manipulating perceptual parameters in a continuous performance task. Behavior Research Methods. 50(1). 380–391. 12 indexed citations
16.
17.
Shalev, Nir, Glyn W. Humphreys, & Nele Demeyere. (2016). Assessing the temporal aspects of attention and its correlates in aging and chronic stroke patients. Neuropsychologia. 92. 59–68. 15 indexed citations
18.
Friedmann, Naama, et al.. (2015). Dissociations between developmental dyslexias and attention deficits. Frontiers in Psychology. 5. 1501–1501. 22 indexed citations
19.
Shalev, Lilach, Tamar Kolodny, Nir Shalev, & Carmel Mevorach. (2015). Attention Functioning Among Adolescents With Multiple Learning, Attentional, Behavioral, and Emotional Difficulties. Journal of Learning Disabilities. 49(6). 582–596. 14 indexed citations
20.
Lamy, Dominique, et al.. (2014). The Role of Conscious Perception in Attentional Capture and Object-File Updating. Psychological Science. 26(1). 48–57. 40 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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