Anna Schubö

3.2k total citations
111 papers, 2.2k citations indexed

About

Anna Schubö is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Anna Schubö has authored 111 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Cognitive Neuroscience, 23 papers in Social Psychology and 17 papers in Experimental and Cognitive Psychology. Recurrent topics in Anna Schubö's work include Neural and Behavioral Psychology Studies (85 papers), Visual perception and processing mechanisms (65 papers) and Neural dynamics and brain function (23 papers). Anna Schubö is often cited by papers focused on Neural and Behavioral Psychology Studies (85 papers), Visual perception and processing mechanisms (65 papers) and Neural dynamics and brain function (23 papers). Anna Schubö collaborates with scholars based in Germany, Netherlands and United States. Anna Schubö's co-authors include Agnieszka Wykowska, Anna Heuer, Tobias Feldmann‐Wüstefeld, Cristina Meinecke, Tobias Feldmann‐Wüstefeld, Andrea Schankin, Sonja Stork, Bernhard Hommel, Elkan G. Akyürek and Friederike Schlaghecken and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

Anna Schubö

105 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Schubö Germany 30 1.7k 474 466 205 110 111 2.2k
Alejandro Lleras United States 24 1.9k 1.1× 352 0.7× 557 1.2× 247 1.2× 170 1.5× 92 2.4k
Nicholas Gaspelin United States 23 2.7k 1.5× 316 0.7× 649 1.4× 162 0.8× 144 1.3× 51 2.9k
Weiwei Zhang United States 20 2.5k 1.4× 430 0.9× 664 1.4× 179 0.9× 162 1.5× 70 2.9k
Steven B. Most United States 25 1.9k 1.1× 387 0.8× 783 1.7× 139 0.7× 91 0.8× 69 2.5k
Jason Tipples United Kingdom 19 1.5k 0.9× 317 0.7× 724 1.6× 90 0.4× 114 1.0× 37 1.7k
Daniël Schreij Netherlands 8 1.5k 0.9× 375 0.8× 666 1.4× 141 0.7× 369 3.4× 15 2.2k
Jan W. de Fockert United Kingdom 21 2.6k 1.5× 536 1.1× 997 2.1× 121 0.6× 264 2.4× 44 3.3k
Julie D. Golomb United States 21 1.8k 1.1× 248 0.5× 448 1.0× 208 1.0× 137 1.2× 65 2.2k
J. Toby Mordkoff United States 24 1.5k 0.9× 427 0.9× 730 1.6× 107 0.5× 151 1.4× 63 2.1k
Gustav Kuhn United Kingdom 27 1.5k 0.9× 898 1.9× 401 0.9× 169 0.8× 349 3.2× 88 2.2k

Countries citing papers authored by Anna Schubö

Since Specialization
Citations

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

Fields of papers citing papers by Anna Schubö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Schubö

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Schubö. A scholar is included among the top collaborators of Anna Schubö 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 Anna Schubö. Anna Schubö 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.
Schubö, Anna, et al.. (2025). Effort expectation and strategic cue use in visual search. Cognitive Affective & Behavioral Neuroscience.
2.
Schubö, Anna, et al.. (2025). Trade-off between search costs and accuracy in oculomotor and manual search tasks. Journal of Neurophysiology. 133(5). 1350–1367. 1 indexed citations
3.
Schubö, Anna, et al.. (2024). Distracted by Previous Experience: Integrating Selection History, Current Task Demands and Saliency in an Algorithmic Model. Computational Brain & Behavior. 7(2). 268–285.
4.
Schubö, Anna, et al.. (2024). Adapting attentional control settings in a shape-changing environment. Attention Perception & Psychophysics. 86(2). 404–421. 2 indexed citations
5.
Schütz, Alexander C., et al.. (2024). Complex trade-offs in a dual-target visual search task are indexed by lateralised ERP components. Scientific Reports. 14(1). 22839–22839. 2 indexed citations
6.
Gaspelin, Nicholas, Dominique Lamy, Howard E. Egeth, et al.. (2023). The Distractor Positivity Component and the Inhibition of Distracting Stimuli. Journal of Cognitive Neuroscience. 35(11). 1693–1715. 36 indexed citations
7.
Hegele, Mathias, et al.. (2021). End in view: Joint end-state comfort depends on gaze and extraversion. Human Movement Science. 80. 102867–102867. 4 indexed citations
8.
Schubö, Anna, et al.. (2020). Reward-predicting distractor orientations support contextual cueing: Persistent effects in homogeneous distractor contexts. Vision Research. 171. 53–63. 6 indexed citations
9.
Heuer, Anna & Anna Schubö. (2019). Cueing distraction: electrophysiological evidence for anticipatory active suppression of distractor location. Psychological Research. 84(8). 2111–2121. 30 indexed citations
10.
Uengoer, Metin, et al.. (2017). Reward Draws the Eye, Uncertainty Holds the Eye: Associative Learning Modulates Distractor Interference in Visual Search. Frontiers in Behavioral Neuroscience. 11. 128–128. 19 indexed citations
11.
Heuer, Anna, J. Douglas Crawford, & Anna Schubö. (2016). Action relevance induces an attentional weighting of representations in visual working memory. Memory & Cognition. 45(3). 413–427. 23 indexed citations
12.
Heuer, Anna, Anna Schubö, & J. Douglas Crawford. (2016). Different Cortical Mechanisms for Spatial vs. Feature-Based Attentional Selection in Visual Working Memory. Frontiers in Human Neuroscience. 10. 415–415. 26 indexed citations
13.
Feldmann‐Wüstefeld, Tobias & Anna Schubö. (2015). Action Planning Mediates Guidance of Visual Attention from Working Memory. Journal of Ophthalmology. 2015. 1–10. 5 indexed citations
14.
Feldmann‐Wüstefeld, Tobias & Anna Schubö. (2015). Target discrimination delays attentional benefit for grouped contexts: An ERP study. Brain Research. 1629. 196–209. 10 indexed citations
15.
Garrido‐Vásquez, Patricia & Anna Schubö. (2014). Modulation of visual attention by object affordance. Frontiers in Psychology. 5. 59–59. 29 indexed citations
16.
Akyürek, Elkan G. & Anna Schubö. (2013). Electrophysiological correlates of early attentional feature selection and distractor filtering. Biological Psychology. 93(2). 269–278. 8 indexed citations
17.
Akyürek, Elkan G. & Anna Schubö. (2011). The allocation of attention in displays with simultaneously presented singletons. Biological Psychology. 87(2). 218–225. 6 indexed citations
18.
Schubö, Anna, et al.. (2011). Electrophysiological correlates of target eccentricity in texture segmentation. International Journal of Psychophysiology. 80(3). 198–209. 11 indexed citations
19.
Wykowska, Agnieszka & Anna Schubö. (2009). Irrelevant Singletons in Visual Search Do Not Capture Attention but Can Produce Nonspatial Filtering Costs. Journal of Cognitive Neuroscience. 23(3). 645–660. 40 indexed citations
20.
Schubö, Anna & Cristina Meinecke. (2007). Automatic texture segmentation in early vision: Evidence from priming experiments. Vision Research. 47(18). 2378–2389. 4 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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