Luis Carlos Molina

About

Luis Carlos Molina is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Luis Carlos Molina has authored 2 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Computational Theory and Mathematics. Recurrent topics in Luis Carlos Molina’s work include Machine Learning and Algorithms (1 paper), Algorithms and Data Compression (1 paper) and Data Mining Algorithms and Applications (1 paper). Luis Carlos Molina is often cited by papers focused on Machine Learning and Algorithms (1 paper), Algorithms and Data Compression (1 paper) and Data Mining Algorithms and Applications (1 paper). Luis Carlos Molina collaborates with scholars based in Canada, Mexico and Spain. Luis Carlos Molina's co-authors include Àngela Nebot, Lluís Belanche and Julio J. Valdés and has published in prestigious journals such as National Research Council Canada (Government of Canada) and UPCommons institutional repository (Universitat Politècnica de Catalunya).

In The Last Decade

Co-authorship network of co-authors of Luis Carlos Molina i

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Fields of papers citing papers by Luis Carlos Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luis Carlos Molina. 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 Luis Carlos Molina. The network helps show where Luis Carlos Molina may publish in the future.

Countries citing papers authored by Luis Carlos Molina

Since Specialization

Citations

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