Robert Lowe

748 total citations
40 papers, 441 citations indexed

About

Robert Lowe is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Robert Lowe has authored 40 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 17 papers in Social Psychology and 15 papers in Artificial Intelligence. Recurrent topics in Robert Lowe's work include Neural dynamics and brain function (15 papers), Embodied and Extended Cognition (12 papers) and Reinforcement Learning in Robotics (10 papers). Robert Lowe is often cited by papers focused on Neural dynamics and brain function (15 papers), Embodied and Extended Cognition (12 papers) and Reinforcement Learning in Robotics (10 papers). Robert Lowe collaborates with scholars based in Sweden, United Kingdom and Germany. Robert Lowe's co-authors include Tom Ziemke, Erik Billing, Beatrice Alenljung, Rebecca Andreasson, David Vernon, Serge Thill, Yulia Sandamirskaya, Stefan Wermter, Nicolás Navarro-Guerrero and Anthony Morse and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Biological Cybernetics.

In The Last Decade

Robert Lowe

38 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Lowe Sweden 10 243 195 118 93 44 40 441
Naoki Saiwaki Japan 8 243 1.0× 273 1.4× 184 1.6× 42 0.5× 33 0.8× 39 562
Kyveli Kompatsiari Italy 10 208 0.9× 193 1.0× 52 0.4× 44 0.5× 19 0.4× 20 329
Meeri Mäkäräinen Finland 7 218 0.9× 230 1.2× 83 0.7× 99 1.1× 20 0.5× 8 474
Olivia Kang United States 9 341 1.4× 153 0.8× 37 0.3× 150 1.6× 33 0.8× 12 515
Patrice Terrier France 12 114 0.5× 82 0.4× 54 0.5× 56 0.6× 29 0.7× 30 328
Thomas Bührmann United Kingdom 8 423 1.7× 214 1.1× 32 0.3× 54 0.6× 38 0.9× 10 549
Burcu A. Ürgen Türkiye 9 201 0.8× 210 1.1× 53 0.4× 47 0.5× 25 0.6× 36 316
Anna Henschel United Kingdom 5 127 0.5× 197 1.0× 81 0.7× 30 0.3× 17 0.4× 8 334
Gonzalo C. de Guzman United States 9 521 2.1× 397 2.0× 30 0.3× 52 0.6× 68 1.5× 10 665
Amir Aly United Kingdom 9 165 0.7× 271 1.4× 157 1.3× 59 0.6× 43 1.0× 26 477

Countries citing papers authored by Robert Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Robert Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Lowe

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Lowe. A scholar is included among the top collaborators of Robert Lowe 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 Robert Lowe. Robert Lowe 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.
Lowe, Robert, et al.. (2025). Deep Learning Approaches for User Engagement Detection in Human-Robot Interaction: A Scoping Review. International Journal of Human-Computer Interaction. 41(20). 13074–13092. 1 indexed citations
2.
Lowe, Robert, et al.. (2023). Differences in Experienced Memory Qualities between Factual and Fictional Events. Journal of Cognition and Culture. 23(3-4). 378–396. 3 indexed citations
3.
Lowe, Robert, et al.. (2020). Vicarious Value Learning: Knowledge transfer through affective processing on a social differential outcomes task. Acta Psychologica. 209. 103134–103134. 3 indexed citations
4.
Lowe, Robert, et al.. (2020). A social differential outcomes learning task: Performance, EEG, and questionnaire data. SHILAP Revista de lepidopterología. 33. 106590–106590.
5.
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
6.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2017). Improving Robot Motor Learning with Negatively Valenced Reinforcement Signals. Frontiers in Neurorobotics. 11. 10–10. 11 indexed citations
7.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2017). The effects on adaptive behaviour of negatively valenced signals in reinforcement learning. 3. 148–155. 4 indexed citations
8.
Lowe, Robert. (2016). The Role of Allostasis in Sense-Making: A Better Fit for Interactivity than Cybernetic-Enactivism?. Constructivist Foundations. 11(2). 251–254. 1 indexed citations
9.
Lowe, Robert, et al.. (2016). Minimalist Social-Affective Value for Use in Joint Action: A Neural-Computational Hypothesis. Frontiers in Computational Neuroscience. 10. 88–88. 9 indexed citations
10.
Vernon, David, Robert Lowe, Serge Thill, & Tom Ziemke. (2015). Embodied cognition and circular causality: on the role of constitutive autonomy in the reciprocal coupling of perception and action. Frontiers in Psychology. 6. 1660–1660. 43 indexed citations
11.
Lowe, Robert & Tom Ziemke. (2013). Exploring the relationship of reward and punishment in reinforcement learning. 140–147. 17 indexed citations
12.
13.
Navarro-Guerrero, Nicolás, Robert Lowe, & Stefan Wermter. (2012). A neurocomputational amygdala model of auditory fear conditioning: A hybrid system approach. Zenodo (CERN European Organization for Nuclear Research). 4. 1–8. 7 indexed citations
14.
Ieropoulos, Ioannis, et al.. (2012). An Oxygen-Diffusion Cathode MFC Model for Simulation of Energy-Autonomous Robots. 1 indexed citations
15.
Lowe, Robert & Tom Ziemke. (2011). The Feeling of Action Tendencies: On the Emotional Regulation of Goal-Directed Behavior. Frontiers in Psychology. 2. 346–346. 62 indexed citations
16.
Lowe, Robert, et al.. (2010). Grounding Motivation in Energy Autonomy: A Study of Artificial Metabolism Constrained Robot Dynamics. Artificial Life. 725–732. 12 indexed citations
17.
Ziemke, Tom, Robert Lowe, & Anthony Morse. (2010). Affective robotics – modelling emotion and motivation. Connection Science. 22(3). 193–195. 2 indexed citations
18.
Lowe, Robert, Mark D. Humphries, & Tom Ziemke. (2009). The dual-route hypothesis: evaluating a neurocomputational model of fear conditioning in rats. Connection Science. 21(1). 15–37. 14 indexed citations
19.
Ziemke, Tom & Robert Lowe. (2009). On the Role of Emotion in Embodied Cognitive Architectures: From Organisms to Robots. Cognitive Computation. 1(1). 104–117. 73 indexed citations
20.
Lowe, Robert, Chrystopher L. Nehaniv, Daniel Polani, & Lola Cañamero. (2005). The Degree of Potential Damage in Agonistic Contests and its Effects on Social Aggression, Territoriality and Display Evolution. 1. 351–358. 1 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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