Eva Wiese

2.7k total citations · 1 hit paper
65 papers, 1.5k citations indexed

About

Eva Wiese is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Eva Wiese has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Cognitive Neuroscience, 45 papers in Social Psychology and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Eva Wiese's work include Psychology of Moral and Emotional Judgment (30 papers), Face Recognition and Perception (27 papers) and Social Robot Interaction and HRI (23 papers). Eva Wiese is often cited by papers focused on Psychology of Moral and Emotional Judgment (30 papers), Face Recognition and Perception (27 papers) and Social Robot Interaction and HRI (23 papers). Eva Wiese collaborates with scholars based in United States, Germany and United Kingdom. Eva Wiese's co-authors include Agnieszka Wykowska, Patrick P. Weis, Abdulaziz Abubshait, Hermann J. Müller, Giorgio Metta, Tyler H. Shaw, Ewart J. de Visser, Jan Zwickel, Hermann J. Müller and Yi‐Ching Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Eva Wiese

61 papers receiving 1.5k citations

Hit Papers

Measurement of Trust in Automation: A Narrative Review an... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Wiese United States 20 945 802 315 229 206 65 1.5k
Agnieszka Wykowska Italy 29 1.4k 1.5× 1.6k 2.0× 335 1.1× 258 1.1× 197 1.0× 116 2.3k
Astrid Rosenthal-von der Pütten Germany 17 746 0.8× 325 0.4× 412 1.3× 115 0.5× 141 0.7× 48 1.2k
Aaron Powers United States 9 1.3k 1.3× 311 0.4× 802 2.5× 132 0.6× 188 0.9× 24 1.6k
Jakub Złotowski New Zealand 13 726 0.8× 318 0.4× 504 1.6× 79 0.3× 206 1.0× 19 1.1k
Jamy Li United States 18 898 1.0× 204 0.3× 425 1.3× 90 0.4× 128 0.6× 46 1.5k
Susana Zoghbi Belgium 9 1.5k 1.6× 360 0.4× 1.1k 3.4× 147 0.6× 218 1.1× 18 2.1k
André Pereira Portugal 20 1.1k 1.2× 287 0.4× 757 2.4× 317 1.4× 79 0.4× 47 1.5k
Deborah R. Billings United States 11 1.3k 1.4× 218 0.3× 654 2.1× 114 0.5× 443 2.2× 18 1.7k
Dag Sverre Syrdal United Kingdom 26 1.6k 1.7× 369 0.5× 956 3.0× 120 0.5× 179 0.9× 66 2.2k
Maartje M.A. de Graaf Netherlands 18 1.1k 1.2× 289 0.4× 897 2.8× 72 0.3× 341 1.7× 49 1.7k

Countries citing papers authored by Eva Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Eva Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Wiese

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Wiese. A scholar is included among the top collaborators of Eva Wiese 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 Eva Wiese. Eva Wiese 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.
Wahn, Basil & Eva Wiese. (2025). Humans take the visuospatial perspective of robots and objects that imply social presence. Acta Psychologica. 254. 104801–104801. 1 indexed citations
2.
Hugenberg, Kurt, et al.. (2024). Social perception of robots is shaped by beliefs about their minds. Scientific Reports. 14(1). 5459–5459. 5 indexed citations
3.
Abubshait, Abdulaziz, et al.. (2023). Perceptual discrimination in the face perception of robots is attenuated compared to humans. Scientific Reports. 13(1). 16708–16708.
4.
Abubshait, Abdulaziz, et al.. (2021). A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?. Cognitive Affective & Behavioral Neuroscience. 21(4). 763–775. 12 indexed citations
5.
Abubshait, Abdulaziz, Craig G. McDonald, & Eva Wiese. (2021). Examining Social Cognition with Embodied Robots: Does Prior Experience with a Robot Impact Feedback-associated Learning in a Gambling Task?. Journal of Cognition. 4(1). 28–28. 4 indexed citations
6.
Pillot, Benjamin, et al.. (2020). Driving with Robots: Mind perception and propensity for aggressive driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 64(1). 1965–1970. 2 indexed citations
7.
Weis, Patrick P. & Eva Wiese. (2020). Know Your Cognitive Environment! Mental Models as Crucial Determinant of Offloading Preferences. Human Factors The Journal of the Human Factors and Ergonomics Society. 64(3). 499–513. 13 indexed citations
8.
Weis, Patrick P. & Eva Wiese. (2019). Problem Solvers Adjust Cognitive Offloading Based on Performance Goals. Cognitive Science. 43(12). e12802–e12802. 16 indexed citations
9.
Weis, Patrick P. & Eva Wiese. (2019). Investing in brain-based memory leads to decreased use of technology-based memory.. Journal of Experimental Psychology Applied. 26(3). 465–479. 4 indexed citations
10.
Wiese, Eva, et al.. (2019). Good advice is beyond all price, but what if it comes from a machine?. Journal of Experimental Psychology Applied. 25(3). 386–395. 41 indexed citations
11.
Weis, Patrick P. & Eva Wiese. (2018). Using Tools to Help Us Think: Actual but Also Believed Reliability Modulates Cognitive Offloading. Human Factors The Journal of the Human Factors and Ergonomics Society. 61(2). 243–254. 30 indexed citations
12.
Weis, Patrick P. & Eva Wiese. (2018). Speed Considerations Can Be of Little Concern When Outsourcing Thought to External Devices. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62(1). 14–18. 4 indexed citations
13.
Abubshait, Abdulaziz & Eva Wiese. (2017). You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human–Robot Interaction. Frontiers in Psychology. 8. 1393–1393. 85 indexed citations
14.
Wiese, Eva, et al.. (2016). Seeing Minds in Others – Can Agents with Robotic Appearance Have Human-Like Preferences?. PLoS ONE. 11(1). e0146310–e0146310. 82 indexed citations
15.
Pérez-Osorio, Jairo, Hermann J. Müller, Eva Wiese, & Agnieszka Wykowska. (2015). Gaze Following Is Modulated by Expectations Regarding Others’ Action Goals. PLoS ONE. 10(11). e0143614–e0143614. 27 indexed citations
16.
Wiese, Eva, Agnieszka Wykowska, & Hermann J. Müller. (2014). What We Observe Is Biased by What Other People Tell Us: Beliefs about the Reliability of Gaze Behavior Modulate Attentional Orienting to Gaze Cues. PLoS ONE. 9(4). e94529–e94529. 28 indexed citations
17.
Wykowska, Agnieszka, et al.. (2014). Beliefs about the Minds of Others Influence How We Process Sensory Information. PLoS ONE. 9(4). e94339–e94339. 113 indexed citations
18.
Wiese, Eva, Jan Zwickel, & Hermann J. Müller. (2013). The importance of context information for the spatial specificity of gaze cueing. Attention Perception & Psychophysics. 75(5). 967–982. 22 indexed citations
19.
Kohlbecher, Stefan, et al.. (2012). Studying Gaze-based Human Robot Interaction: An Experimental Platform. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 4 indexed citations
20.
Wiese, Eva, et al.. (2008). Mapping and Inference in Analogical Problem Solving — As Much as Needed or as Much as Possible?. eScholarship (California Digital Library). 30(30). 2 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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