L. Campo

6 papers and 365 indexed citations i.

About

L. Campo is a scholar working on Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, L. Campo has authored 6 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in L. Campo’s work include Fault Detection and Control Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Advanced Control Systems Optimization (2 papers). L. Campo is often cited by papers focused on Fault Detection and Control Systems (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers) and Advanced Control Systems Optimization (2 papers). L. Campo collaborates with scholars based in United States. L. Campo's co-authors include Yaakov Bar‐Shalom and Peter B. Luh and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems and Acta Medica Philippina.

In The Last Decade

Co-authorship network of co-authors of L. Campo i

Fields of papers citing papers by L. Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by L. Campo

Since Specialization
Citations

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