Farid García‐Lamont

30 papers and 1.4k indexed citations i.

About

Farid García‐Lamont is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Farid García‐Lamont has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Plant Science. Recurrent topics in Farid García‐Lamont’s work include Smart Agriculture and AI (6 papers), Image Retrieval and Classification Techniques (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Farid García‐Lamont is often cited by papers focused on Smart Agriculture and AI (6 papers), Image Retrieval and Classification Techniques (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Farid García‐Lamont collaborates with scholars based in Mexico. Farid García‐Lamont's co-authors include Jair Cervantes, Asdrúbal López‐Chau, Lisbeth Rodríguez-Mazahua, Jaime Pacheco, Adolfo Guzmán Arenas, Luis Arturo Soriano, N. Hernández‐Como and José de Jesús Rubio and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Farid García‐Lamont i

Fields of papers citing papers by Farid García‐Lamont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Farid García‐Lamont

Since Specialization
Citations

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