Juan M. Calderón

28 papers and 145 indexed citations i.

About

Juan M. Calderón is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Juan M. Calderón has authored 28 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Networks and Communications and 5 papers in Aerospace Engineering. Recurrent topics in Juan M. Calderón’s work include Robotic Path Planning Algorithms (8 papers), Distributed Multi-Agent Coordination and Control (8 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Juan M. Calderón is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Distributed Multi-Agent Coordination and Control (8 papers) and Mobile Crowdsensing and Crowdsourcing (4 papers). Juan M. Calderón collaborates with scholars based in United States and Colombia. Juan M. Calderón's co-authors include Eduardo Mojica‐Nava, Luis G. Jaimes, Wilfrido Moreno, Alfredo Weitzenfeld, Andrew Raij, Xiaohe Wu, Crescencio Bravo, Daniel Ruíz, Mustafa İlhan Akbaş and Néstor Peña and has published in prestigious journals such as Applied Sciences, Lecture notes in computer science and IEEE Robotics and Automation Letters.

In The Last Decade

Co-authorship network of co-authors of Juan M. Calderón i

Fields of papers citing papers by Juan M. Calderón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan M. Calderón. 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 Juan M. Calderón. The network helps show where Juan M. Calderón may publish in the future.

Countries citing papers authored by Juan M. Calderón

Since Specialization
Citations

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