Rafael Ballester‐Ripoll

18 papers and 214 indexed citations i.

About

Rafael Ballester‐Ripoll is a scholar working on Computational Mathematics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rafael Ballester‐Ripoll has authored 18 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Mathematics, 4 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rafael Ballester‐Ripoll’s work include Tensor decomposition and applications (10 papers), Probabilistic and Robust Engineering Design (4 papers) and Model Reduction and Neural Networks (3 papers). Rafael Ballester‐Ripoll is often cited by papers focused on Tensor decomposition and applications (10 papers), Probabilistic and Robust Engineering Design (4 papers) and Model Reduction and Neural Networks (3 papers). Rafael Ballester‐Ripoll collaborates with scholars based in Switzerland, Spain and United States. Rafael Ballester‐Ripoll's co-authors include Renato Pajarola, Peter Lindström, Ismael Ripoll, Alex Soltermann, Ruben Casanova, Holger Moch, Andrew H. Beck, Bart Vrugt, Alberto Astolfo and Marco Stampanoni and has published in prestigious journals such as Cancer Research, Reliability Engineering & System Safety and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Rafael Ballester‐Ripoll i

Fields of papers citing papers by Rafael Ballester‐Ripoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rafael Ballester‐Ripoll. 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 Rafael Ballester‐Ripoll. The network helps show where Rafael Ballester‐Ripoll may publish in the future.

Countries citing papers authored by Rafael Ballester‐Ripoll

Since Specialization
Citations

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