Eileen Roesler

1.1k total citations
40 papers, 619 citations indexed

About

Eileen Roesler is a scholar working on Social Psychology, Artificial Intelligence and Safety Research. According to data from OpenAlex, Eileen Roesler has authored 40 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Social Psychology, 17 papers in Artificial Intelligence and 9 papers in Safety Research. Recurrent topics in Eileen Roesler's work include Social Robot Interaction and HRI (19 papers), Human-Automation Interaction and Safety (18 papers) and AI in Service Interactions (13 papers). Eileen Roesler is often cited by papers focused on Social Robot Interaction and HRI (19 papers), Human-Automation Interaction and Safety (18 papers) and AI in Service Interactions (13 papers). Eileen Roesler collaborates with scholars based in Germany, United States and Denmark. Eileen Roesler's co-authors include Linda Onnasch, Dietrich Manzey, Tobias Rieger, Felix Wilhelm Siebert, Felix Balzer, Malte L Schmieding, Markus A. Feufel, Matthias Rötting, Birgit Lugrin and Sophie Rudolph and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Eileen Roesler

32 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eileen Roesler Germany 13 423 301 113 79 62 40 619
Johannes Kraus Germany 20 800 1.9× 293 1.0× 177 1.6× 60 0.8× 64 1.0× 48 1.1k
Susanne Stadler Austria 8 393 0.9× 174 0.6× 63 0.6× 44 0.6× 42 0.7× 17 590
I. Han Kuo New Zealand 11 460 1.1× 366 1.2× 39 0.3× 71 0.9× 62 1.0× 11 700
Melissa A. Smith United States 8 315 0.7× 210 0.7× 119 1.1× 85 1.1× 93 1.5× 18 583
Alexandra D. Kaplan United States 9 386 0.9× 219 0.7× 146 1.3× 88 1.1× 70 1.1× 13 844
Kensuke Kato Japan 8 657 1.6× 389 1.3× 110 1.0× 155 2.0× 120 1.9× 17 884
Kerstin S. Haring United States 11 347 0.8× 191 0.6× 104 0.9× 107 1.4× 44 0.7× 30 499
Michal Luria United States 16 372 0.9× 320 1.1× 81 0.7× 71 0.9× 95 1.5× 26 703
Marlena R. Fraune United States 15 477 1.1× 264 0.9× 119 1.1× 166 2.1× 165 2.7× 47 666
Sarah Sebo United States 12 406 1.0× 231 0.8× 151 1.3× 85 1.1× 83 1.3× 25 583

Countries citing papers authored by Eileen Roesler

Since Specialization
Citations

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

Fields of papers citing papers by Eileen Roesler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eileen Roesler

This figure shows the co-authorship network connecting the top 25 collaborators of Eileen Roesler. A scholar is included among the top collaborators of Eileen Roesler 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 Eileen Roesler. Eileen Roesler 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.
Roesler, Eileen, et al.. (2025). Choosing the “Perfect” Scale: A Primer to Evaluate Existing Scales in HRI. ACM Transactions on Human-Robot Interaction. 15(2). 1–30. 1 indexed citations
2.
Onnasch, Linda, Eileen Roesler, Lionel Robert, & Ewart J. de Visser. (2025). Trust(worthiness) Issues with Trust in Human–Robot Interaction. ACM Transactions on Human-Robot Interaction. 15(3). 1–19.
3.
Onnasch, Linda, et al.. (2025). Gender Encoding in Industrial Robots: All Work, No Play, and No Significant Differences. ACM Transactions on Human-Robot Interaction.
4.
Rieger, Tobias, et al.. (2025). Explaining AI weaknesses improves human–AI performance in a dynamic control task. International Journal of Human-Computer Studies. 199. 103505–103505. 1 indexed citations
5.
Rieger, Tobias, Linda Onnasch, Eileen Roesler, & Dietrich Manzey. (2025). Why Highly Reliable Decision Support Systems Often Lead to Suboptimal Performance and What We Can Do About it. IEEE Transactions on Human-Machine Systems. 55(5). 736–745. 2 indexed citations
6.
7.
Roesler, Eileen, Tobias Rieger, & Markus Langer. (2024). Numeric vs. verbal information: The influence of information quantifiability in Human–AI vs. Human–Human decision support. SHILAP Revista de lepidopterología. 3. 100116–100116. 1 indexed citations
8.
Roesler, Eileen, Sophie Rudolph, & Felix Wilhelm Siebert. (2024). Exploring the Role of Sociability, Ownership, and Affinity for Technology in Shaping Acceptance and Intention to Use Personal Assistance Robots.. International Journal of Social Robotics. 16(6). 1463–1474. 2 indexed citations
9.
Roesler, Eileen, et al.. (2024). Beyond the Default: The Effects of Adaptable Robot Speed in Industrial Human-Robot Interaction. 896–900. 1 indexed citations
10.
Rieger, Tobias, et al.. (2024). The Pop-Out Effect of Rarer Occurring Stimuli Shapes the Effectiveness of AI Explainability. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 68(1). 352–358. 4 indexed citations
11.
Roesler, Eileen, et al.. (2024). Compete, Cooperate, or Both? Exploring How Interaction Settings Shape Human-Robot Interaction. 901–905. 1 indexed citations
12.
Roesler, Eileen, et al.. (2023). The dynamics of human–robot trust attitude and behavior — Exploring the effects of anthropomorphism and type of failure. Computers in Human Behavior. 150. 108008–108008. 26 indexed citations
13.
Roesler, Eileen, et al.. (2023). (Hu)man-Like Robots: The Impact of Anthropomorphism and Language on Perceived Robot Gender. International Journal of Social Robotics. 15(11). 1829–1840. 13 indexed citations
14.
Roesler, Eileen. (2023). Anthropomorphic framing and failure comprehensibility influence different facets of trust towards industrial robots. Frontiers in Robotics and AI. 10. 1235017–1235017. 7 indexed citations
15.
Roesler, Eileen, et al.. (2023). Multidimensionale Fragebögen zur Erfassung der wahrgenommenen Robotermorphologie (RoMo) in der Mensch-Roboter-Interaktion. Zeitschrift für Arbeitswissenschaft. 77(4). 609–628. 4 indexed citations
16.
Roesler, Eileen, et al.. (2022). The Influence of Visible Cables and Story Content on Perceived Autonomy in Social Human–Robot Interaction. Robotics. 12(1). 3–3. 3 indexed citations
17.
Roesler, Eileen, Dietrich Manzey, & Linda Onnasch. (2022). Embodiment Matters in Social HRI Research: Effectiveness of Anthropomorphism on Subjective and Objective Outcomes. ACM Transactions on Human-Robot Interaction. 12(1). 1–9. 22 indexed citations
18.
Rieger, Tobias, Eileen Roesler, & Dietrich Manzey. (2022). Challenging presumed technological superiority when working with (artificial) colleagues. Scientific Reports. 12(1). 3768–3768. 26 indexed citations
19.
Roesler, Eileen, Dietrich Manzey, & Linda Onnasch. (2021). A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction. Science Robotics. 6(58). eabj5425–eabj5425. 139 indexed citations
20.
Onnasch, Linda & Eileen Roesler. (2020). A Taxonomy to Structure and Analyze Human–Robot Interaction. International Journal of Social Robotics. 13(4). 833–849. 122 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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