I. del Campo

38 papers and 422 indexed citations i.

About

I. del Campo is a scholar working on Artificial Intelligence, Control and Systems Engineering and Automotive Engineering. According to data from OpenAlex, I. del Campo has authored 38 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 10 papers in Control and Systems Engineering and 9 papers in Automotive Engineering. Recurrent topics in I. del Campo’s work include Neural Networks and Applications (20 papers), Fuzzy Logic and Control Systems (16 papers) and Machine Learning and ELM (8 papers). I. del Campo is often cited by papers focused on Neural Networks and Applications (20 papers), Fuzzy Logic and Control Systems (16 papers) and Machine Learning and ELM (8 papers). I. del Campo collaborates with scholars based in Spain, United Kingdom and Germany. I. del Campo's co-authors include Javier Echanobe, Koldo Basterretxea, V. Sanchez Martinez, Faiyaz Doctor, Eduardo Alonso, Pradyumn Kumar Shukla, Hartmut Schmeck and José Ramón González de Mendívil and has published in prestigious journals such as Applied Energy, Sensors and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of I. del Campo i

Fields of papers citing papers by I. del Campo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by I. del Campo

Since Specialization
Citations

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