Gemma Boleda

49 papers and 830 indexed citations i.

About

Gemma Boleda is a scholar working on Artificial Intelligence, Cultural Studies and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gemma Boleda has authored 49 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 13 papers in Cultural Studies and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gemma Boleda’s work include Natural Language Processing Techniques (35 papers), Topic Modeling (30 papers) and Language and cultural evolution (13 papers). Gemma Boleda is often cited by papers focused on Natural Language Processing Techniques (35 papers), Topic Modeling (30 papers) and Language and cultural evolution (13 papers). Gemma Boleda collaborates with scholars based in Spain, United States and Germany. Gemma Boleda's co-authors include Marco Baroni, Nam Khanh Tran, Elia Bruni, √Ålvaro Corral, Katrin Erk, Stephen Roller, Raquel Fernández, Germán Kruszewski, Ramon Ferrer‐i‐Cancho and Francesc Font-Clos and has published in prestigious journals such as Science, PLoS ONE and Cognition.

In The Last Decade

Co-authorship network of co-authors of Gemma Boleda i

Fields of papers citing papers by Gemma Boleda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gemma Boleda

Since Specialization
Citations

This map shows the geographic impact of Gemma Boleda'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 Gemma Boleda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Boleda 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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2025