Erik Billing

1.1k total citations
49 papers, 485 citations indexed

About

Erik Billing is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Erik Billing has authored 49 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 20 papers in Artificial Intelligence and 15 papers in Social Psychology. Recurrent topics in Erik Billing's work include Reinforcement Learning in Robotics (12 papers), Robot Manipulation and Learning (10 papers) and Action Observation and Synchronization (9 papers). Erik Billing is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), Robot Manipulation and Learning (10 papers) and Action Observation and Synchronization (9 papers). Erik Billing collaborates with scholars based in Sweden, United Kingdom and United States. Erik Billing's co-authors include Thomas Hellström, Robert Lowe, Rebecca Andreasson, Beatrice Alenljung, Tom Ziemke, Robert Lowe, Tony Belpaeme, Julia Rosén, Lars-Erik Janlert and Bram Vanderborght and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Erik Billing

47 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Billing Sweden 13 202 185 149 111 77 49 485
Naomi T. Fitter United States 13 186 0.9× 239 1.3× 125 0.8× 139 1.3× 151 2.0× 63 574
Amir Aly United Kingdom 9 165 0.8× 271 1.5× 157 1.1× 65 0.6× 49 0.6× 26 477
Anara Sandygulova Kazakhstan 13 160 0.8× 257 1.4× 180 1.2× 89 0.8× 120 1.6× 80 581
Hoang-Long Cao Belgium 12 102 0.5× 194 1.0× 152 1.0× 67 0.6× 44 0.6× 46 494
Elizabeth Cha United States 13 118 0.6× 209 1.1× 111 0.7× 95 0.9× 132 1.7× 26 482
Elaine Schaertl Short United States 12 118 0.6× 315 1.7× 207 1.4× 113 1.0× 91 1.2× 41 528
Naoki Saiwaki Japan 8 243 1.2× 273 1.5× 184 1.2× 85 0.8× 114 1.5× 39 562
Katrin S. Lohan United Kingdom 13 85 0.4× 237 1.3× 193 1.3× 96 0.9× 67 0.9× 52 497
Eric Deng United States 7 117 0.6× 210 1.1× 136 0.9× 56 0.5× 50 0.6× 10 366
Albert De Beir Belgium 12 134 0.7× 146 0.8× 73 0.5× 68 0.6× 74 1.0× 27 335

Countries citing papers authored by Erik Billing

Since Specialization
Citations

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

Fields of papers citing papers by Erik Billing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Billing

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Billing. A scholar is included among the top collaborators of Erik Billing 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 Erik Billing. Erik Billing 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.
David, Daniel, Paul Baxter, Erik Billing, et al.. (2025). Efficacy and effectiveness of robot-assisted therapy for autism spectrum disorder: From lab to reality. Science Robotics. 10(109). eadl2266–eadl2266.
2.
Rosén, Julia, et al.. (2024). Previous Experience Matters: An in-Person Investigation of Expectations in Human–Robot Interaction. International Journal of Social Robotics. 16(3). 447–460. 6 indexed citations
3.
Noceti, Nicoletta, Alessandra Sciutti, Francesco Rea, et al.. (2023). Kinematic Primitives in Action Similarity Judgments: A Human-Centered Computational Model. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 1981–1992.
4.
Mahmoud, Sara, Erik Billing, Henrik Svensson, & Serge Thill. (2022). Where to from here? On the future development of autonomous vehicles from a cognitive systems perspective. Cognitive Systems Research. 76. 63–77. 6 indexed citations
5.
6.
Noceti, Nicoletta, Alessandra Sciutti, Francesco Rea, et al.. (2020). Action similarity judgment based on kinematic primitives. CINECA IRIS Institutial Research Information System (University of Genoa). 3 indexed citations
7.
Billing, Erik, Tony Belpaeme, Haibin Cai, et al.. (2020). The DREAM Dataset: Supporting a data-driven study of autism spectrum disorder and robot enhanced therapy. PLoS ONE. 15(8). e0236939–e0236939. 42 indexed citations
8.
García, Daniel Hernández, et al.. (2019). Social Robots in Therapy and Care. 669–670. 11 indexed citations
9.
Billing, Erik, Julia Rosén, & Jessica Lindblom. (2019). Expectations of robot technology in welfare. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
10.
Fast–Berglund, Åsa, et al.. (2018). Conceptualizing Embodied Automation to Increase Transfer of Tacit knowledge in the Learning Factory. Chalmers Research (Chalmers University of Technology). 358–364. 6 indexed citations
11.
Lowe, Robert, Rebecca Andreasson, Beatrice Alenljung, Anja Lund, & Erik Billing. (2018). Designing for a Wearable Affective Interface for the NAO Robot: A Study of Emotion Conveyance by Touch. Multimodal Technologies and Interaction. 2(1). 2–2. 16 indexed citations
12.
Rosén, Julia, Kathleen Richardson, Jessica Lindblom, & Erik Billing. (2018). The Robot Illusion : Facts and Fiction. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
13.
Alenljung, Beatrice, Rebecca Andreasson, Robert Lowe, Erik Billing, & Jessica Lindblom. (2018). Conveying Emotions by Touch to the Nao Robot: A User Experience Perspective. Multimodal Technologies and Interaction. 2(4). 82–82. 12 indexed citations
14.
Zhou, Bo, et al.. (2017). Textile Pressure Mapping Sensor for Emotional Touch Detection in Human-Robot Interaction. Sensors. 17(11). 2585–2585. 19 indexed citations
15.
Zhou, Bo, et al.. (2017). TouchMe: Full-textile Touch Sensitive Skin for Encouraging Human-Robot Interaction. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
16.
Sun, Jiong, et al.. (2017). Categories of touch : Classifying human touch using a soft tactile sensor. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
17.
Lowe, Robert, Alexander Almér, Erik Billing, Yulia Sandamirskaya, & Christian Balkenius. (2017). Affective–associative two-process theory: a neurocomputational account of partial reinforcement extinction effects. Biological Cybernetics. 111(5-6). 365–388. 9 indexed citations
18.
Alenljung, Beatrice, Rebecca Andreasson, Erik Billing, Jessica Lindblom, & Robert Lowe. (2017). User experience of conveying emotions by touch. University Library of Skövde (University of Skövde). 1240–1247. 12 indexed citations
19.
Sun, Jiong, et al.. (2017). Tactile Interaction and Social Touch. University Library of Skövde (University of Skövde). 523–526. 2 indexed citations
20.
Billing, Erik. (2009). Cognition Reversed : Robot Learning from Demonstration. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5 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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