M. Teresa Lamata

28 papers and 1.9k indexed citations i.

About

M. Teresa Lamata is a scholar working on Management Science and Operations Research, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, M. Teresa Lamata has authored 28 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 10 papers in Artificial Intelligence and 10 papers in Control and Systems Engineering. Recurrent topics in M. Teresa Lamata’s work include Multi-Criteria Decision Making (25 papers), Optimization and Mathematical Programming (10 papers) and Fuzzy Systems and Optimization (9 papers). M. Teresa Lamata is often cited by papers focused on Multi-Criteria Decision Making (25 papers), Optimization and Mathematical Programming (10 papers) and Fuzzy Systems and Optimization (9 papers). M. Teresa Lamata collaborates with scholars based in Spain, Cuba and Colombia. M. Teresa Lamata's co-authors include M. Socorro García‐Cascales, Juan Miguel Sánchez-Lozano, José Ignacio Peláez, José Luís Verdegay, Serafı́n Moral, Mark Goh, Bapi Dutta, David A. Pelta, M. Fernández–Martínez and Eva Armero and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Energy.

In The Last Decade

Co-authorship network of co-authors of M. Teresa Lamata i

Fields of papers citing papers by M. Teresa Lamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Teresa Lamata

Since Specialization
Citations

This map shows the geographic impact of M. 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 M. 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 M. 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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