Francisco Javier Díez

39 papers and 650 indexed citations i.

About

Francisco Javier Díez is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Francisco Javier Díez has authored 39 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Molecular Biology. Recurrent topics in Francisco Javier Díez’s work include Bayesian Modeling and Causal Inference (23 papers), AI-based Problem Solving and Planning (10 papers) and Data Quality and Management (5 papers). Francisco Javier Díez is often cited by papers focused on Bayesian Modeling and Causal Inference (23 papers), AI-based Problem Solving and Planning (10 papers) and Data Quality and Management (5 papers). Francisco Javier Díez collaborates with scholars based in Spain, France and Switzerland. Francisco Javier Díez's co-authors include Carmen Lacave, Severino F. Galán, M.B. Gavela, O. Pène, A. De Rújula, José Mira, Marek J. Drużdżel, Pilar Hernández, Jorge Pérez‐Martín and José Mira and has published in prestigious journals such as Nuclear Physics B, IEEE Transactions on Pattern Analysis and Machine Intelligence and Physics Letters B.

In The Last Decade

Co-authorship network of co-authors of Francisco Javier Díez i

Fields of papers citing papers by Francisco Javier Díez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francisco Javier Díez

Since Specialization
Citations

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