Rafael Ballester‐Ripoll
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computational Mathematics top 2%
- Co-authors
- Renato PajarolaPeter LindströmIsmael RipollPatricia BalbastreWalter WederPaolo NanniAlex SoltermannAndrew H. Beck
- Topics
- Tensor decomposition and applications (13 papers)Probabilistic and Robust Engineering Design (4 papers)Model Reduction and Neural Networks (3 papers)
- Cited by
- Computational MathematicsHardware and ArchitectureComputer Graphics and Computer-Aided Design
- Partner nations
- SwitzerlandSpainUnited States
In The Last Decade
Rafael Ballester‐Ripoll
20 papers receiving 286 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 91
- Hardware and Architecture 82
- Computer Networks and Communications 73
- Artificial Intelligence 70
- Computational Mathematics 51
Countries citing papers authored by Rafael Ballester‐Ripoll
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).
Fields of papers citing papers by Rafael Ballester‐Ripoll
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.
Co-authorship network of co-authors of Rafael Ballester‐Ripoll
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Ballester‐Ripoll. A scholar is included among the top collaborators of Rafael Ballester‐Ripoll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rafael Ballester‐Ripoll. Rafael Ballester‐Ripoll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 109 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 10 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 34 | |
| 18 | 15 | |
| 19 | 30 | |
| 20 | 19 |
About Rafael Ballester‐Ripoll
Rafael Ballester‐Ripoll is a scholar working on Computational Mathematics, Hardware and Architecture and Statistics, Probability and Uncertainty, having authored 21 papers that have together received 294 indexed citations. Recurring topics across this work include Tensor decomposition and applications (13 papers), Probabilistic and Robust Engineering Design (4 papers) and Model Reduction and Neural Networks (3 papers). The work is most often cited by research in Computational Mathematics (51 citations), Hardware and Architecture (82 citations) and Computer Graphics and Computer-Aided Design (35 citations). Rafael Ballester‐Ripoll has collaborated with scholars based in Switzerland, Spain and United States. Frequent co-authors include Renato Pajarola, Peter Lindström, Ismael Ripoll, Patricia Balbastre, Walter Weder, Paolo Nanni, Alex Soltermann, Andrew H. Beck, Holger Moch and Alberto Astolfo. Their work appears in journals such as Cancer Research, IEEE Transactions on Computers and Reliability Engineering & System Safety.
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.