María M. García

18 papers and 131 indexed citations i.

About

María M. García is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Epidemiology. According to data from OpenAlex, María M. García has authored 18 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Epidemiology. Recurrent topics in María M. García’s work include Fuzzy Logic and Control Systems (3 papers), Neural Networks and Applications (2 papers) and Animal Disease Management and Epidemiology (2 papers). María M. García is often cited by papers focused on Fuzzy Logic and Control Systems (3 papers), Neural Networks and Applications (2 papers) and Animal Disease Management and Epidemiology (2 papers). María M. García collaborates with scholars based in Cuba, Spain and Belgium. María M. García's co-authors include Rafael Bello, Martín E. Saleta, Erik De Clercq, Lourdes Santana, Humberto González‐Díaz, Isis Bonet, Eugenio Uriarte, Carmen Terán, Hugo Ramírez Álvarez and Carlos Morell and has published in prestigious journals such as European Journal of Medicinal Chemistry, BioMed Research International and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of María M. García i

Fields of papers citing papers by María M. García

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by María M. García

Since Specialization
Citations

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