Federico Castanedo

About

Federico Castanedo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Federico Castanedo has authored 7 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Federico Castanedo’s work include Target Tracking and Data Fusion in Sensor Networks (3 papers), Distributed Multi-Agent Coordination and Control (3 papers) and Neural Networks and Applications (1 paper). Federico Castanedo is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (3 papers), Distributed Multi-Agent Coordination and Control (3 papers) and Neural Networks and Applications (1 paper). Federico Castanedo collaborates with scholars based in Spain, United States and Belgium. Federico Castanedo's co-authors include José Manuel Molina, Miguel Á. Patricio, Jesús Garcı́a, Diego López–de–Ipiña, Ramón Hervás, Richard Kleihorst, Hamid K. Aghajan, Jesús Fontecha and José Bravo and has published in prestigious journals such as Sensors, Information Fusion and The Scientific World JOURNAL.

In The Last Decade

Co-authorship network of co-authors of Federico Castanedo i

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Fields of papers citing papers by Federico Castanedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Federico Castanedo

Since Specialization

Citations

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