Lola Cañamero

2.4k total citations
89 papers, 1.1k citations indexed

About

Lola Cañamero is a scholar working on Social Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Lola Cañamero has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Social Psychology, 35 papers in Cognitive Neuroscience and 30 papers in Artificial Intelligence. Recurrent topics in Lola Cañamero's work include Social Robot Interaction and HRI (33 papers), Reinforcement Learning in Robotics (16 papers) and Evolutionary Game Theory and Cooperation (12 papers). Lola Cañamero is often cited by papers focused on Social Robot Interaction and HRI (33 papers), Reinforcement Learning in Robotics (16 papers) and Evolutionary Game Theory and Cooperation (12 papers). Lola Cañamero collaborates with scholars based in United Kingdom, France and Italy. Lola Cañamero's co-authors include Aryel Beck, Matthew Lewis, Kim A. Bard, Jakob Fredslund, Antoine Hiolle, Ignasi Cos, Brett Stevens, Luisa Damiano, Arnaud Blanchard and Anne Blanchard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Psychology and Neural Networks.

In The Last Decade

Lola Cañamero

86 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lola Cañamero United Kingdom 20 711 433 393 274 163 89 1.1k
Takashi Minato Japan 19 870 1.2× 382 0.9× 329 0.8× 153 0.6× 420 2.6× 115 1.4k
Wilma Bainbridge United States 21 473 0.7× 298 0.7× 955 2.4× 287 1.0× 69 0.4× 62 1.7k
Hideki Kozima Japan 19 704 1.0× 446 1.0× 668 1.7× 85 0.3× 254 1.6× 37 1.5k
Paul Vogt Netherlands 21 413 0.6× 663 1.5× 115 0.3× 131 0.5× 192 1.2× 93 1.3k
Hidenobu Sumioka Japan 17 566 0.8× 301 0.7× 410 1.0× 123 0.4× 176 1.1× 95 1.2k
Etienne B. Roesch United Kingdom 16 527 0.7× 223 0.5× 805 2.0× 703 2.6× 31 0.2× 40 1.7k
Marco Mirolli Italy 19 263 0.4× 402 0.9× 585 1.5× 207 0.8× 145 0.9× 56 1.4k
Paul Baxter United Kingdom 19 859 1.2× 707 1.6× 206 0.5× 54 0.2× 264 1.6× 74 1.3k
Rachel Wood United Kingdom 13 343 0.5× 277 0.6× 179 0.5× 227 0.8× 35 0.2× 32 814
James Kennedy United Kingdom 19 1.4k 1.9× 1.1k 2.6× 308 0.8× 113 0.4× 460 2.8× 63 2.1k

Countries citing papers authored by Lola Cañamero

Since Specialization
Citations

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

Fields of papers citing papers by Lola Cañamero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lola Cañamero

This figure shows the co-authorship network connecting the top 25 collaborators of Lola Cañamero. A scholar is included among the top collaborators of Lola Cañamero 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 Lola Cañamero. Lola Cañamero 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.
Cañamero, Lola, et al.. (2022). The Long-Term Efficacy of “Social Buffering” in Artificial Social Agents: Contextual Affective Perception Matters. Frontiers in Robotics and AI. 9. 699573–699573. 3 indexed citations
2.
Cañamero, Lola, et al.. (2021). Autoconcepto y ansiedad: Diferencias entre niños y niñasen una muestra clínica de TDAH. 12(2). 90–90. 3 indexed citations
3.
Lewis, Matthew & Lola Cañamero. (2019). A Robot Model of Stress-Induced Compulsive Behavior. 6 indexed citations
4.
Rea, Francesco, et al.. (2019). Eager to Learn vs. Quick to Complain? How a socially adaptive robot architecture performs with different robot personalities. CINECA IRIS Institutial Research Information System (University of Genoa). 365–371. 4 indexed citations
5.
Balkenius, Christian, et al.. (2016). Outline of a sensory-motor perspective on intrinsically moral agents. Adaptive Behavior. 24(5). 306–319. 3 indexed citations
6.
Beck, Aryel, Antoine Hiolle, & Lola Cañamero. (2013). Using Perlin Noise to Generate Emotional Expressions in a Robot. Cognitive Science. 35(35). 9 indexed citations
7.
Cañamero, Lola, et al.. (2013). Epigenetic adaptation in action selection environments with temporal dynamics. University of Hertfordshire Research Archive (University of Hertfordshire). 505–512. 3 indexed citations
8.
Beck, Aryel, Brett Stevens, Kim A. Bard, & Lola Cañamero. (2012). Emotional body language displayed by artificial agents. ACM Transactions on Interactive Intelligent Systems. 2(1). 1–29. 56 indexed citations
9.
Nalin, Marco, Ilaria Baroni, Ivana Kruijff‐Korbayová, et al.. (2012). Children's adaptation in multi-session interaction with a humanoid robot. 351–357. 35 indexed citations
10.
Damiano, Luisa, Antoine Hiolle, & Lola Cañamero. (2011). Grounding Synthetic Knowledge : An epistemological framework and criteria of relevance for the scientific exploration of life, affect and social cognition. University of Hertfordshire Research Archive (University of Hertfordshire). 200–207. 5 indexed citations
11.
Steuber, Volker, et al.. (2008). Optimal noise in spiking neural networks for the detection of chemicals by simulated agents. Artificial Life. 443–449. 1 indexed citations
12.
Pichler, Peter‐Paul & Lola Cañamero. (2008). Evolving Morphological and Behavioral Diversity Without Predefined Behavior Primitives. Artificial Life. 474–481.
13.
Hiolle, Antoine & Lola Cañamero. (2008). Why Should You Care? An Arousal-Based Model of Exploratory Behavior For Autonomous Robot. Artificial Life. 242–248. 4 indexed citations
14.
Blanchard, Arnaud & Lola Cañamero. (2005). From Imprinting to Adaptation : Building a History of Affective Interaction. CogPrints (University of Southampton). 11 indexed citations
15.
Cañamero, Lola. (2005). Emotion understanding from the perspective of autonomous robots research. Neural Networks. 18(4). 445–455. 80 indexed citations
16.
Hudlická, Eva & Lola Cañamero. (2004). Architectures for modeling emotion : cross-disciplinary foundations : papers from the 2004 AAAI Symposium, March 22-24, Stanford, California. 4 indexed citations
17.
Cañamero, Lola, Zachary Dodds, Lloyd Greenwald, et al.. (2004). The 2004 AAAI Spring Symposium Series. AI Magazine. 25(4). 95–95. 5 indexed citations
18.
Cortés, Ulises, Roberta Annicchiarico, Javier Vázquez-Salceda, et al.. (2003). Assistive technologies for the disabled and for the new generation of senior citizens: the e-Tools architecture. AI Communications. 16(3). 193–207. 22 indexed citations
19.
Cañamero, Lola. (2001). Emotional and intelligent II : the tangled knot of social cognition : papers from the 2001 AAAI Fall Symposium, November 2-4, North Falmouth, Massachusetts. 8 indexed citations
20.
Cañamero, Lola & Jakob Fredslund. (2001). I Show You How I like You : Can You Read it in My Face?. University of Hertfordshire Research Archive (University of Hertfordshire). 41 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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