Ana Paiva

184 papers and 3.1k indexed citations i.

About

Ana Paiva is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Ana Paiva has authored 184 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Social Psychology, 77 papers in Artificial Intelligence and 38 papers in Sociology and Political Science. Recurrent topics in Ana Paiva’s work include Social Robot Interaction and HRI (84 papers), Reinforcement Learning in Robotics (25 papers) and Artificial Intelligence in Games (24 papers). Ana Paiva is often cited by papers focused on Social Robot Interaction and HRI (84 papers), Reinforcement Learning in Robotics (25 papers) and Artificial Intelligence in Games (24 papers). Ana Paiva collaborates with scholars based in Portugal, United Kingdom and United States. Ana Paiva's co-authors include Iolanda Leite, Carlos Martinho, André Pereira, Rui Prada, Ruth Aylett, Samuel Mascarenhas, Ginevra Castellano, João Dias, Patrícia Alves‐Oliveira and Francisco S. Melo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Child Psychology and Psychiatry.

In The Last Decade

Co-authorship network of co-authors of Ana Paiva i

Fields of papers citing papers by Ana Paiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ana Paiva

Since Specialization
Citations

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

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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