María Merino

24 papers and 322 indexed citations i.

About

María Merino is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Transportation. According to data from OpenAlex, María Merino has authored 24 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 7 papers in Control and Systems Engineering and 7 papers in Transportation. Recurrent topics in María Merino’s work include Risk and Portfolio Optimization (13 papers), Optimization and Mathematical Programming (7 papers) and Transportation Planning and Optimization (7 papers). María Merino is often cited by papers focused on Risk and Portfolio Optimization (13 papers), Optimization and Mathematical Programming (7 papers) and Transportation Planning and Optimization (7 papers). María Merino collaborates with scholars based in Spain. María Merino's co-authors include Gloria Pérez Sainz de Rozas, Laureano F. Escudero, María Araceli Garín Martín, José A. Lozano, José Domingo Villarroel, Juan F. Monge, Josu Ceberio and Sonia Arrasate and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Sustainability.

In The Last Decade

Co-authorship network of co-authors of María Merino i

Fields of papers citing papers by María Merino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Merino

Since Specialization
Citations

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