Luís Macedo

29 papers receiving 343 citations

Peers

Luís Macedo
Comparison fields: 5 of 74
  • Cognitive Neuroscience 112
  • Developmental and Educational Psychology 51
  • Neuropsychology and Physiological Psychology 6
  • Psychiatry and Mental health 57
  • Experimental and Cognitive Psychology 48
Replace Francesca Lunardini with:
Francesca Lunardini Italy
Gavin Smyth United Kingdom
Marco Nalin Italy
Colleen Richey United States
María-Luisa Martín-Ruiz Spain
Ilaria Baroni Italy
Abdelkader Gouaïch France
Fabio Tamburini Italy
Lyndsay Williams United Kingdom
Kiyoshi Yasuda Japan
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Citations per field
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Francesca Lunardini · 1×
Citations per year

Countries citing papers authored by Luís Macedo

Since Specialization
Citations

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

Fields of papers citing papers by Luís Macedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Luís Macedo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Luís Macedo Line = papers co-authored together Luís Macedo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201457
2 201344
3 201644
4 201736
5 202019
6
Context and Intention-Awareness in POIs Recommender Systems
201215
7
Modeling Forms of Surprise in Artificial Agents: Empirical and Theoretical Study of Surprise Functions
200413
8 201613
9 200412
10 201712
11 201810
12 20059
13
Modeling Forms of Surprise in an Artificial Agent
20018
14 20178
15
SC-EUNE -- Surprise/Curiosity-based Exploration of UNcertain and UNknown Environments
20018
16 20188
17 20128
18 20196
19 20184
20 20164

About Luís Macedo

Luís Macedo is a scholar working on Artificial Intelligence, Social Psychology, Cognitive Neuroscience, Computer Science Applications and Information Systems, having authored 32 papers that have together received 354 indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (4 papers), Teaching and Learning Programming (4 papers), AI-based Problem Solving and Planning (4 papers), Reinforcement Learning in Robotics (3 papers), Face Recognition and Perception (3 papers), Dementia and Cognitive Impairment Research (3 papers), Online Learning and Analytics (3 papers) and Emotions and Moral Behavior (3 papers). The work is most often cited by research in Cognitive Neuroscience (112 citations), Developmental and Educational Psychology (51 citations), Neuropsychology and Physiological Psychology (6 citations), Psychiatry and Mental health (57 citations) and Experimental and Cognitive Psychology (48 citations). Luís Macedo has collaborated with scholars based in Portugal, France and Ecuador. Frequent co-authors include Ana Rita Silva, Maria Salomé Pinho, Chris J. A. Moulin, Amílcar Cardoso, Horácio Firmino, António José Mendes, Nicolas Vitello, Maurizio Zibetti, Tiphaine Vidal and B. Debilly. Their work appears in journals such as Future Generation Computer Systems, American Journal of Preventive Medicine, International Psychogeriatrics, Journal of Neurology Neurosurgery & Psychiatry and Neuropsychological Rehabilitation.

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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