Francisco P. Romero

30 papers and 192 indexed citations i.

About

Francisco P. Romero is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Francisco P. Romero has authored 30 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Management Science and Operations Research and 4 papers in Information Systems. Recurrent topics in Francisco P. Romero’s work include Sentiment Analysis and Opinion Mining (4 papers), Multi-Criteria Decision Making (4 papers) and Data Quality and Management (3 papers). Francisco P. Romero is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Multi-Criteria Decision Making (4 papers) and Data Quality and Management (3 papers). Francisco P. Romero collaborates with scholars based in Spain, United Kingdom and Colombia. Francisco P. Romero's co-authors include José Á. Olivas, Jesús Serrano-Guerrero, Antonio de Lucas, Juan F. Rodrı́guez, Carolina Molero, Ricardo García‐Ródenas, Francisco Chiclana, Ismael Caballero, Mario Piattini and Marcela Genero and has published in prestigious journals such as Expert Systems with Applications, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Francisco P. Romero i

Fields of papers citing papers by Francisco P. Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco P. Romero. 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 Francisco P. Romero. The network helps show where Francisco P. Romero may publish in the future.

Countries citing papers authored by Francisco P. Romero

Since Specialization
Citations

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