M. C. García‐Alegre

About

M. C. García‐Alegre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, M. C. García‐Alegre has authored 21 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in M. C. García‐Alegre’s work include Robotic Path Planning Algorithms (5 papers), Industrial Vision Systems and Defect Detection (4 papers) and AI-based Problem Solving and Planning (3 papers). M. C. García‐Alegre is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Industrial Vision Systems and Defect Detection (4 papers) and AI-based Problem Solving and Planning (3 papers). M. C. García‐Alegre collaborates with scholars based in Spain and France. M. C. García‐Alegre's co-authors include Ángela Ribeiro, Matilde Santos, David Martín, José Manuel Amarilla, J. M. Rojo, Gabriel Cristóbal, Eva Chinarro, Víctor M. Preciado, Lorena González and B. Moreno and has published in prestigious journals such as Electrochimica Acta, Astronomy and Astrophysics and International Journal of Hydrogen Energy.

In The Last Decade

Co-authorship network of co-authors of M. C. García‐Alegre i

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Fields of papers citing papers by M. C. García‐Alegre

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. C. García‐Alegre

Since Specialization

Citations

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