María Teresa Lamata

About

María Teresa Lamata is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, María Teresa Lamata has authored 21 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Management Science and Operations Research, 7 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. Recurrent topics in María Teresa Lamata’s work include Multi-Criteria Decision Making (14 papers), Fuzzy Systems and Optimization (5 papers) and Optimization and Mathematical Programming (4 papers). María Teresa Lamata is often cited by papers focused on Multi-Criteria Decision Making (14 papers), Fuzzy Systems and Optimization (5 papers) and Optimization and Mathematical Programming (4 papers). María Teresa Lamata collaborates with scholars based in Spain, Brazil and United States. María Teresa Lamata's co-authors include David A. Pelta, Serafı́n Moral, M. Socorro García‐Cascales, Luis M. de Campos, José Luís Verdegay, Akebo Yamakami, Vicente Liern, Blanca Pérez‐Gladish, Juan Miguel Sánchez-Lozano and Dagoberto Castellanos–Nieves and has published in prestigious journals such as Fuzzy Sets and Systems, Sustainability and Applied Soft Computing.

In The Last Decade

Co-authorship network of co-authors of María Teresa Lamata i

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Fields of papers citing papers by María Teresa Lamata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María Teresa Lamata

Since Specialization

Citations

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