Lauro Lins

7 papers and 296 indexed citations i.

About

Lauro Lins is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Lauro Lins has authored 7 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Lauro Lins’s work include Data Visualization and Analytics (4 papers), Optimization and Packing Problems (2 papers) and Image Retrieval and Classification Techniques (2 papers). Lauro Lins is often cited by papers focused on Data Visualization and Analytics (4 papers), Optimization and Packing Problems (2 papers) and Image Retrieval and Classification Techniques (2 papers). Lauro Lins collaborates with scholars based in United States and Brazil. Lauro Lins's co-authors include James T. Klosowski, Carlos Scheidegger, Lisa Cannon‐Albright, Craig C. Teerlink, Frederick S. Albright, Sóstenes Lins, Reinaldo Morábito, Juliana Freire, Fábio Miranda and Claudio Silva and has published in prestigious journals such as European Journal of Operational Research, Genetics in Medicine and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Co-authorship network of co-authors of Lauro Lins i

Fields of papers citing papers by Lauro Lins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauro Lins. 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 Lauro Lins. The network helps show where Lauro Lins may publish in the future.

Countries citing papers authored by Lauro Lins

Since Specialization
Citations

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