Daniel Gayo-Avello

19 papers and 837 indexed citations i.

About

Daniel Gayo-Avello is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Daniel Gayo-Avello has authored 19 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Daniel Gayo-Avello’s work include Misinformation and Its Impacts (6 papers), Complex Network Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Daniel Gayo-Avello is often cited by papers focused on Misinformation and Its Impacts (6 papers), Complex Network Analysis Techniques (4 papers) and Sentiment Analysis and Opinion Mining (4 papers). Daniel Gayo-Avello collaborates with scholars based in Spain, United States and Germany. Daniel Gayo-Avello's co-authors include Eni Mustafaraj, Panagiotis Metaxas, Peter A. Gloor, Markus Strohmaier, Harald Schoen, José Emilio Labra Gayo and Sebastian Hellmann and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Daniel Gayo-Avello i

Fields of papers citing papers by Daniel Gayo-Avello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Gayo-Avello. 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 Daniel Gayo-Avello. The network helps show where Daniel Gayo-Avello may publish in the future.

Countries citing papers authored by Daniel Gayo-Avello

Since Specialization
Citations

This map shows the geographic impact of Daniel Gayo-Avello'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 Daniel Gayo-Avello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gayo-Avello 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025