Naseem Al-Aidroos

1.5k total citations
44 papers, 1.0k citations indexed

About

Naseem Al-Aidroos is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Naseem Al-Aidroos has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cognitive Neuroscience, 8 papers in Experimental and Cognitive Psychology and 3 papers in Social Psychology. Recurrent topics in Naseem Al-Aidroos's work include Neural and Behavioral Psychology Studies (38 papers), Visual perception and processing mechanisms (23 papers) and Neural dynamics and brain function (11 papers). Naseem Al-Aidroos is often cited by papers focused on Neural and Behavioral Psychology Studies (38 papers), Visual perception and processing mechanisms (23 papers) and Neural dynamics and brain function (11 papers). Naseem Al-Aidroos collaborates with scholars based in Canada, United States and Netherlands. Naseem Al-Aidroos's co-authors include Jay Pratt, Nicholas B. Turk‐Browne, Stephen M. Emrich, Jiaying Zhao, Christopher P. Said, Greg L. West, Susanne Ferber, Ulrich Weger, Sara Stevens and Lynn Hasher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Naseem Al-Aidroos

41 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naseem Al-Aidroos Canada 18 913 236 137 77 56 44 1.0k
Jun Saiki Japan 17 688 0.8× 207 0.9× 154 1.1× 70 0.9× 111 2.0× 91 860
Stephenie Harrison United States 8 1.3k 1.4× 182 0.8× 123 0.9× 44 0.6× 52 0.9× 8 1.4k
Tal Makovski United States 22 1.4k 1.5× 346 1.5× 250 1.8× 79 1.0× 102 1.8× 46 1.5k
Andrey Chetverikov Iceland 18 624 0.7× 200 0.8× 148 1.1× 43 0.6× 90 1.6× 43 737
Yaïr Pinto Netherlands 15 624 0.7× 154 0.7× 135 1.0× 37 0.5× 67 1.2× 31 758
Timothy J. Vickery United States 12 540 0.6× 163 0.7× 93 0.7× 54 0.7× 88 1.6× 30 647
Judith M. Shedden Canada 16 643 0.7× 243 1.0× 78 0.6× 101 1.3× 54 1.0× 38 812
Stephen M. Emrich Canada 17 1.1k 1.2× 263 1.1× 108 0.8× 77 1.0× 43 0.8× 37 1.1k
Isabel Arend Israel 16 620 0.7× 203 0.9× 89 0.6× 36 0.5× 42 0.8× 46 836
A. McCollough United States 7 1.4k 1.6× 371 1.6× 165 1.2× 85 1.1× 31 0.6× 11 1.6k

Countries citing papers authored by Naseem Al-Aidroos

Since Specialization
Citations

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

Fields of papers citing papers by Naseem Al-Aidroos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naseem Al-Aidroos. 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 Naseem Al-Aidroos. The network helps show where Naseem Al-Aidroos may publish in the future.

Co-authorship network of co-authors of Naseem Al-Aidroos

This figure shows the co-authorship network connecting the top 25 collaborators of Naseem Al-Aidroos. A scholar is included among the top collaborators of Naseem Al-Aidroos 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 Naseem Al-Aidroos. Naseem Al-Aidroos 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.
Al-Aidroos, Naseem, et al.. (2023). Control over attentional capture within 170 ms by long-term memory control settings: Evidence from the N2pc. Psychonomic Bulletin & Review. 31(1). 283–292.
2.
3.
Al-Aidroos, Naseem, et al.. (2023). Limitations on flexible allocation of visual short-term memory resources with multiple levels of goal-directed attentional prioritization. Attention Perception & Psychophysics. 86(1). 159–170.
4.
Al-Aidroos, Naseem, et al.. (2022). Revisiting the role of visual working memory in attentional control settings. Visual Cognition. 30(5). 318–338. 1 indexed citations
5.
Al-Aidroos, Naseem. (2021). Dividing attentional capture. Visual Cognition. 29(9). 592–595. 1 indexed citations
6.
Al-Aidroos, Naseem, et al.. (2020). Getting it right from the start: Attentional control settings without a history of target selection. Attention Perception & Psychophysics. 83(1). 133–141. 5 indexed citations
7.
Al-Aidroos, Naseem, et al.. (2019). Electrophysiological correlates of the flexible allocation of visual working memory resources. Scientific Reports. 9(1). 19428–19428. 23 indexed citations
8.
Al-Aidroos, Naseem, et al.. (2019). No role for activated long-term memory in attentional control settings.. Journal of Experimental Psychology General. 149(2). 209–221. 7 indexed citations
9.
Tompary, Alexa, Naseem Al-Aidroos, & Nicholas B. Turk‐Browne. (2018). Attending to What and Where: Background Connectivity Integrates Categorical and Spatial Attention. Journal of Cognitive Neuroscience. 30(9). 1281–1297. 20 indexed citations
10.
Al-Aidroos, Naseem, et al.. (2018). Probabilistic retro-cues do not determine representational state in visual working memory. Journal of Vision. 18(10). 678–678. 2 indexed citations
11.
Emrich, Stephen M., et al.. (2017). Attention mediates the flexible allocation of visual working memory resources.. Journal of Experimental Psychology Human Perception & Performance. 43(7). 1454–1465. 64 indexed citations
12.
Emrich, Stephen M., et al.. (2017). More than a filter: Feature-based attention regulates the distribution of visual working memory resources.. Journal of Experimental Psychology Human Perception & Performance. 43(10). 1843–1854. 32 indexed citations
13.
Al-Aidroos, Naseem, et al.. (2017). Neural evidence that inhibition is linked to the affective devaluation of distractors that match the contents of working memory. Neuropsychologia. 99. 259–269. 14 indexed citations
14.
Al-Aidroos, Naseem, et al.. (2016). Salience drives non-spatial feature repetition effects in cueing tasks. Attention Perception & Psychophysics. 79(1). 212–222. 5 indexed citations
15.
Al-Aidroos, Naseem, et al.. (2015). The interaction between spatial cueing and cue-target feature similarity. Journal of Vision. 15(12). 895–895. 1 indexed citations
16.
Al-Aidroos, Naseem, et al.. (2012). The visual P2 is attenuated for attended objects near the hands. Cognitive Neuroscience. 3(2). 98–104. 21 indexed citations
17.
Al-Aidroos, Naseem, Christopher P. Said, & Nicholas B. Turk‐Browne. (2011). Top-down attention alters background connectivity between retinotopic and category-specific visual areas. Journal of Vision. 11(11). 174–174. 1 indexed citations
18.
Al-Aidroos, Naseem, Stephen M. Emrich, Susanne Ferber, & Jay Pratt. (2011). Visual working memory supports the inhibition of previously processed information: Evidence from preview search.. Journal of Experimental Psychology Human Perception & Performance. 38(3). 643–663. 30 indexed citations
19.
Pratt, Jay, et al.. (2010). Biological Motion Captures Attention. Journal of Vision. 10(7). 120–120. 2 indexed citations
20.
Al-Aidroos, Naseem, Martin H. Fischer, Jos J. Adam, & Jay Pratt. (2008). Structured Perceptual Arrays and the Modulation of Fitts's Law: Examining Saccadic Eye Movements. Journal of Motor Behavior. 40(2). 155–164. 9 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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