Daniel Ferrés

34 papers and 139 indexed citations i.

About

Daniel Ferrés is a scholar working on Artificial Intelligence, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Daniel Ferrés has authored 34 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 7 papers in Economics and Econometrics. Recurrent topics in Daniel Ferrés’s work include Natural Language Processing Techniques (18 papers), Topic Modeling (11 papers) and Income, Poverty, and Inequality (6 papers). Daniel Ferrés is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (11 papers) and Income, Poverty, and Inequality (6 papers). Daniel Ferrés collaborates with scholars based in Spain, Uruguay and United States. Daniel Ferrés's co-authors include Máximo Rossi, Horacio Saggion, Fernando Borráz, Juan Dubra, Gaizka Ormazábal, Sanja Štajner, Marcos Zampieri, Matthew Shardlow, Jordi Turmo and Horacio Rodríguez and has published in prestigious journals such as Journal of Banking & Finance, The Journal of Law and Economics and Journal of Financial Intermediation.

In The Last Decade

Co-authorship network of co-authors of Daniel Ferrés i

Fields of papers citing papers by Daniel Ferrés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Ferrés

Since Specialization
Citations

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