Fernando Fernández

69 papers and 1.5k indexed citations i.

About

Fernando Fernández is a scholar working on Artificial Intelligence, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Fernando Fernández has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 19 papers in Control and Systems Engineering and 8 papers in Social Psychology. Recurrent topics in Fernando Fernández’s work include Reinforcement Learning in Robotics (20 papers), AI-based Problem Solving and Planning (15 papers) and Robot Manipulation and Learning (9 papers). Fernando Fernández is often cited by papers focused on Reinforcement Learning in Robotics (20 papers), AI-based Problem Solving and Planning (15 papers) and Robot Manipulation and Learning (9 papers). Fernando Fernández collaborates with scholars based in Spain, United States and France. Fernando Fernández's co-authors include Javier García, Manuela Veloso, Miguel Lozano, Pedro Isasi, Daniel Borrajo, Ana Iglesias, José Carlos González, Sergio Jiménez, Tomás de la Rosa and Cristina Suárez-Mejías and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Fernando Fernández i

Fields of papers citing papers by Fernando Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fernando Fernández

Since Specialization
Citations

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