Diego Mollá

32 papers and 273 indexed citations i.

About

Diego Mollá is a scholar working on Artificial Intelligence, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Diego Mollá has authored 32 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 11 papers in Molecular Biology and 3 papers in Statistics, Probability and Uncertainty. Recurrent topics in Diego Mollá’s work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Biomedical Text Mining and Ontologies (11 papers). Diego Mollá is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Biomedical Text Mining and Ontologies (11 papers). Diego Mollá collaborates with scholars based in Australia, Switzerland and Spain. Diego Mollá's co-authors include José Luis Vicedo González, Abeed Sarker, Cécile Paris, Michael Heß, Fabio Rinaldi, Luiz Pizzato, James Dowdall, Menno van Zaanen, Kaarel Kaljurand and Wenjie Li and has published in prestigious journals such as Journal of Biomedical Informatics, Lecture notes in computer science and Computational Linguistics.

In The Last Decade

Co-authorship network of co-authors of Diego Mollá i

Fields of papers citing papers by Diego Mollá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Mollá

Since Specialization
Citations

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