Rafael Ballester‐Ripoll

534 total citations
21 papers, 294 citations indexed

About

Rafael Ballester‐Ripoll is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Rafael Ballester‐Ripoll has authored 21 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Mathematics, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Rafael Ballester‐Ripoll's work include Tensor decomposition and applications (13 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 (13 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, Patricia Balbastre, Walter Weder, Paolo Nanni, Alex Soltermann, Andrew H. Beck, Holger Moch and Alberto Astolfo and has published in prestigious journals such as Cancer Research, IEEE Transactions on Computers and Reliability Engineering & System Safety.

In The Last Decade

Rafael Ballester‐Ripoll

20 papers receiving 286 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rafael Ballester‐Ripoll Switzerland 9 91 82 73 70 51 21 294
Jack Purdum United States 4 63 0.7× 118 1.4× 127 1.7× 50 0.7× 3 0.1× 9 324
Mohamed Wahib Japan 12 88 1.0× 124 1.5× 122 1.7× 139 2.0× 3 0.1× 55 403
Jon C. Calhoun United States 9 75 0.8× 124 1.5× 160 2.2× 110 1.6× 3 0.1× 51 338
Yuan Tang China 9 71 0.8× 222 2.7× 215 2.9× 106 1.5× 4 0.1× 32 408
Jiannan Tian United States 11 87 1.0× 126 1.5× 150 2.1× 143 2.0× 2 0.0× 29 344
Christopher Dyken Norway 8 108 1.2× 88 1.1× 87 1.2× 27 0.4× 2 0.0× 11 370
Jiaquan Gao China 12 28 0.3× 58 0.7× 79 1.1× 108 1.5× 27 0.5× 48 363
Olivier Duchenne France 9 717 7.9× 16 0.2× 37 0.5× 269 3.8× 24 0.5× 10 805
Yinghua Li China 10 115 1.3× 11 0.1× 47 0.6× 89 1.3× 2 0.0× 44 331

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).

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.

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

20 of 20 papers shown
1.
Ballester‐Ripoll, Rafael, et al.. (2025). Global sensitivity analysis of uncertain parameters in Bayesian networks. International Journal of Approximate Reasoning. 180. 109368–109368. 4 indexed citations
2.
Jiménez, Javier, et al.. (2024). HADAD: Hexagonal A-Star with Differential Algorithm Designed for weather routing. Ocean Engineering. 319. 120050–120050. 2 indexed citations
3.
Ballester‐Ripoll, Rafael. (2024). Computing Statistical Moments Via Tensorization of Polynomial Chaos Expansions. SIAM/ASA Journal on Uncertainty Quantification. 12(2). 289–308.
4.
Ballester‐Ripoll, Rafael, et al.. (2023). The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. International Journal of Approximate Reasoning. 159. 108929–108929. 3 indexed citations
5.
Ballester‐Ripoll, Rafael, et al.. (2023). High-dimensional scalar function visualization using principal parameterizations. The Visual Computer. 40(4). 2571–2588. 1 indexed citations
6.
Ballester‐Ripoll, Rafael, et al.. (2022). Computing Sobol indices in probabilistic graphical models. Reliability Engineering & System Safety. 225. 108573–108573. 18 indexed citations
7.
Ballester‐Ripoll, Rafael, et al.. (2021). SenVis: Interactive Tensor‐based Sensitivity Visualization. Computer Graphics Forum. 40(3). 275–286. 3 indexed citations
8.
Ballester‐Ripoll, Rafael. (2021). Tensor approximation of cooperative games and their semivalues. International Journal of Approximate Reasoning. 142. 94–108. 3 indexed citations
9.
Usvyatsov, Mikhail, et al.. (2021). Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 34. 11406–11415. 1 indexed citations
10.
Ballester‐Ripoll, Rafael, Peter Lindström, & Renato Pajarola. (2019). TTHRESH: Tensor Compression for Multidimensional Visual Data. IEEE Transactions on Visualization and Computer Graphics. 26(9). 2891–2903. 109 indexed citations
11.
Ballester‐Ripoll, Rafael, et al.. (2019). VIAN: A Visual Annotation Tool for Film Analysis. Computer Graphics Forum. 38(3). 119–129. 14 indexed citations
12.
Ballester‐Ripoll, Rafael & Renato Pajarola. (2018). Tensor Decompositions for Integral Histogram Compression and Look-Up. IEEE Transactions on Visualization and Computer Graphics. 25(2). 1435–1446. 5 indexed citations
13.
Casanova, Ruben, Daniel Xia, Paolo Nanni, et al.. (2017). Morphoproteomic Characterization of Lung Squamous Cell Carcinoma Fragmentation, a Histological Marker of Increased Tumor Invasiveness. Cancer Research. 77(10). 2585–2593. 10 indexed citations
14.
Ballester‐Ripoll, Rafael, et al.. (2017). Multiresolution Volume Filtering in the Tensor Compressed Domain. IEEE Transactions on Visualization and Computer Graphics. 24(10). 2714–2727. 10 indexed citations
15.
Ballester‐Ripoll, Rafael, et al.. (2016). A surrogate visualization model using the tensor train format. 1–8. 4 indexed citations
16.
Ballester‐Ripoll, Rafael & Renato Pajarola. (2016). Compressing Bidirectional Texture Functions via Tensor Train Decomposition. Eurographics. 19–22. 3 indexed citations
17.
Ballester‐Ripoll, Rafael & Renato Pajarola. (2015). Lossy volume compression using Tucker truncation and thresholding. The Visual Computer. 32(11). 1433–1446. 34 indexed citations
18.
Ballester‐Ripoll, Rafael, et al.. (2014). Analysis of tensor approximation for compression-domain volume visualization. Computers & Graphics. 47. 34–47. 15 indexed citations
19.
Ripoll, Ismael & Rafael Ballester‐Ripoll. (2013). Period Selection for Minimal Hyperperiod in Periodic Task Systems. IEEE Transactions on Computers. 62(9). 1813–1822. 30 indexed citations
20.
Balbastre, Patricia, et al.. (2011). Task period selection to minimize hyperperiod. 1–4. 19 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jack Purdum Breakdown of academic impact, for papers by Mohamed Wahib Breakdown of academic impact, for papers by Jon C. Calhoun Breakdown of academic impact, for papers by Yuan Tang Breakdown of academic impact, for papers by Jiannan Tian Breakdown of academic impact, for papers by Christopher Dyken Breakdown of academic impact, for papers by Jiaquan Gao Breakdown of academic impact, for papers by Olivier Duchenne Breakdown of academic impact, for papers by Yinghua Li
Rankless by CCL
2026