This map shows the geographic impact of Borja Balle'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 Borja Balle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borja Balle more than expected).
This network shows the impact of papers produced by Borja Balle. 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 Borja Balle. The network helps show where Borja Balle may publish in the future.
Co-authorship network of co-authors of Borja Balle
This figure shows the co-authorship network connecting the top 25 collaborators of Borja Balle.
A scholar is included among the top collaborators of Borja Balle 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 Borja Balle. Borja Balle is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Balle, Borja, et al.. (2020). Local Differential Privacy for Sampling. International Conference on Artificial Intelligence and Statistics. 3404–3413.2 indexed citations
4.
Dvijotham, Krishnamurthy, Jamie Hayes, Borja Balle, et al.. (2020). A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES. International Conference on Learning Representations.4 indexed citations
5.
Diethe, Tom, et al.. (2020). Preserving Privacy in Analyses of Textual Data.. 1–3.2 indexed citations
Balle, Borja, et al.. (2019). Hypothesis testing interpretations and Renyi differential privacy. Tokyo Tech Research Repository (Tokyo Institute of Technology). 2496–2506.2 indexed citations
8.
Diethe, Tom, et al.. (2019). Continual Learning in Practice. neural information processing systems.26 indexed citations
9.
Balle, Borja, Gilles Barthe, & Marco Gaboardi. (2018). Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. arXiv (Cornell University). 31. 6277–6287.25 indexed citations
Bacon, Pierre‐Luc, Borja Balle, & Doina Precup. (2015). Learning and planning with timing information in Markov decision processes. Uncertainty in Artificial Intelligence. 111–120.1 indexed citations
15.
Quattoni, Ariadna, Borja Balle, Xavier Carreras, & Amir Globerson. (2014). Spectral Regularization for Max-Margin Sequence Tagging. QRU Quaderns de Recerca en Urbanisme. 1710–1718.7 indexed citations
16.
Balle, Borja, William L. Hamilton, & Joëlle Pineau. (2014). Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. International Conference on Machine Learning. 1386–1394.11 indexed citations
17.
Balle, Borja & Mehryar Mohri. (2012). Spectral Learning of General Weighted Automata via Constrained Matrix Completion. Neural Information Processing Systems. 25. 2159–2167.23 indexed citations
18.
Luque, Franco M., Ariadna Quattoni, Borja Balle, & Xavier Carreras. (2012). Spectral Learning for Non-Deterministic Dependency Parsing. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 409–419.17 indexed citations
19.
Balle, Borja, et al.. (2012). Bootstrapping and Learning PDFA in Data Streams. 34–48.3 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.