Alberto Lacaze

15 papers and 25 indexed citations i.

About

Alberto Lacaze is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Alberto Lacaze has authored 15 papers receiving a total of 25 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Alberto Lacaze’s work include Robotic Path Planning Algorithms (7 papers), AI-based Problem Solving and Planning (4 papers) and Fuzzy Logic and Control Systems (2 papers). Alberto Lacaze is often cited by papers focused on Robotic Path Planning Algorithms (7 papers), AI-based Problem Solving and Planning (4 papers) and Fuzzy Logic and Control Systems (2 papers). Alberto Lacaze collaborates with scholars based in United States. Alberto Lacaze's co-authors include Karl Murphy, Stephen Balakirsky, Tsai Hong Hong, Steven Legowik, Michael Shneier, Karl C. Kluge, James S. Albus, David Coombs, Tommy Chang and A. Meystel and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Robotics and Computer-Integrated Manufacturing and Journal of Field Robotics.

In The Last Decade

Co-authorship network of co-authors of Alberto Lacaze i

Fields of papers citing papers by Alberto Lacaze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Lacaze

Since Specialization
Citations

This map shows the geographic impact of Alberto Lacaze'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 Alberto Lacaze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Lacaze 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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2025