Daniel Molina

52 papers and 11.0k indexed citations i.

About

Daniel Molina is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Daniel Molina has authored 52 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 32 papers in Computational Theory and Mathematics and 4 papers in Management Science and Operations Research. Recurrent topics in Daniel Molina’s work include Metaheuristic Optimization Algorithms Research (35 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Evolutionary Algorithms and Applications (27 papers). Daniel Molina is often cited by papers focused on Metaheuristic Optimization Algorithms Research (35 papers), Advanced Multi-Objective Optimization Algorithms (30 papers) and Evolutionary Algorithms and Applications (27 papers). Daniel Molina collaborates with scholars based in Spain, United Kingdom and Saudi Arabia. Daniel Molina's co-authors include Francisco Herrera, Salvador García, Joaquín Derrac, Manuel Lozano, Javier Del Ser, Siham Tabik, Raja Chatila, Sergio Gil-López, Alberto Barbado and Adrien Bennetot and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and IEEE Transactions on Evolutionary Computation.

In The Last Decade

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

Fields of papers citing papers by Daniel Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Molina

Since Specialization
Citations

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