Javier Echanobe

38 papers and 381 indexed citations i.

About

Javier Echanobe is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Javier Echanobe has authored 38 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Javier Echanobe’s work include Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (10 papers) and Machine Learning and ELM (8 papers). Javier Echanobe is often cited by papers focused on Neural Networks and Applications (13 papers), Fuzzy Logic and Control Systems (10 papers) and Machine Learning and ELM (8 papers). Javier Echanobe collaborates with scholars based in Spain, United Kingdom and China. Javier Echanobe's co-authors include I. del Campo, Koldo Basterretxea, J. G. Muga, Adolfo del Campo, Faiyaz Doctor, V. Sanchez Martinez, José Ramón González de Mendívil, José Javier Astráin, I. Lizuain and J. Casanova and has published in prestigious journals such as Physical Review A, Applied Energy and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Javier Echanobe i

Fields of papers citing papers by Javier Echanobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Javier Echanobe

Since Specialization
Citations

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