Carlos Molina

43 papers and 173 indexed citations i.

About

Carlos Molina is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Carlos Molina has authored 43 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Carlos Molina’s work include Data Mining Algorithms and Applications (13 papers), Speech Recognition and Synthesis (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Carlos Molina is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Speech Recognition and Synthesis (9 papers) and Rough Sets and Fuzzy Logic (9 papers). Carlos Molina collaborates with scholars based in Spain, Chile and Cuba. Carlos Molina's co-authors include M.A. Vila, Néstor Becerra Yoma, Nicolás Marı́n, José-Marı́a Serrano, Daniel Sánchez, Lázaro Rodríguez Ariza, Carlos Rodríguez, L. Rajendran, María Martínez‐Rojas and Olga Pons and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Fuzzy Systems and Fuzzy Sets and Systems.

In The Last Decade

Co-authorship network of co-authors of Carlos Molina i

Fields of papers citing papers by Carlos Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Carlos Molina

Since Specialization
Citations

This map shows the geographic impact of Carlos Molina'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 Carlos Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Molina 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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2025