Andrés R. Masegosa

About

Andrés R. Masegosa is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Information Systems. According to data from OpenAlex, Andrés R. Masegosa has authored 24 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 5 papers in Information Systems. Recurrent topics in Andrés R. Masegosa’s work include Bayesian Modeling and Causal Inference (18 papers), Rough Sets and Fuzzy Logic (7 papers) and Bayesian Methods and Mixture Models (6 papers). Andrés R. Masegosa is often cited by papers focused on Bayesian Modeling and Causal Inference (18 papers), Rough Sets and Fuzzy Logic (7 papers) and Bayesian Methods and Mixture Models (6 papers). Andrés R. Masegosa collaborates with scholars based in Spain, Norway and Denmark. Andrés R. Masegosa's co-authors include Joaquín Abellán, Serafı́n Moral, Ana María Martínez, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen, Antonio Salmerón, Ad Feelders, Linda C. van der Gaag and Andrés Cano and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of Andrés R. Masegosa i

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Fields of papers citing papers by Andrés R. Masegosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrés R. Masegosa. 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 Andrés R. Masegosa. The network helps show where Andrés R. Masegosa may publish in the future.

Countries citing papers authored by Andrés R. Masegosa

Since Specialization

Citations

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