Gherardo Varando

1.1k total citations · 2 hit papers
25 papers, 653 citations indexed

About

Gherardo Varando is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Gherardo Varando has authored 25 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. Recurrent topics in Gherardo Varando's work include Bayesian Modeling and Causal Inference (14 papers), Machine Learning and Algorithms (4 papers) and Data Mining Algorithms and Applications (3 papers). Gherardo Varando is often cited by papers focused on Bayesian Modeling and Causal Inference (14 papers), Machine Learning and Algorithms (4 papers) and Data Mining Algorithms and Applications (3 papers). Gherardo Varando collaborates with scholars based in Spain, Denmark and Germany. Gherardo Varando's co-authors include Pedro Larrañaga, Concha Bielza, Hanen Borchani, Gustau Camps‐Valls, Jakob Runge, Andreas Gerhardus, Veronika Eyring, Georg Martius, Ricardo Vinuesa and Laure Zanna and has published in prestigious journals such as Physics Reports, IEEE Access and Journal of Statistical Software.

In The Last Decade

Gherardo Varando

24 papers receiving 631 citations

Hit Papers

A survey on multi‐output regression 2015 2026 2018 2022 2015 2023 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A survey on multi‐output regression
    2015 409 citations Hanen Borchani, Gherardo Varando et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →
  2. Causal inference for time series
    2023 107 citations Jakob Runge, Andreas Gerhardus et al. Nature Reviews Earth & Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gherardo Varando Spain 7 229 78 72 70 48 25 653
Bastian Bohn Germany 5 255 1.1× 34 0.4× 66 0.9× 54 0.8× 41 0.9× 8 683
Guoqing Liu China 16 141 0.6× 161 2.1× 56 0.8× 57 0.8× 61 1.3× 114 923
Antonino Staiano Italy 15 230 1.0× 112 1.4× 61 0.8× 32 0.5× 41 0.9× 54 679
Hanen Borchani Spain 6 200 0.9× 85 1.1× 47 0.7× 20 0.3× 43 0.9× 8 506
Yongfeng Zhang China 14 424 1.9× 136 1.7× 60 0.8× 84 1.2× 74 1.5× 60 1.5k
Yuyi Wang China 15 262 1.1× 147 1.9× 83 1.2× 118 1.7× 46 1.0× 104 847
Fengxiang Jin China 12 259 1.1× 139 1.8× 161 2.2× 73 1.0× 79 1.6× 55 815
Ian Nabney United Kingdom 7 285 1.2× 162 2.1× 56 0.8× 39 0.6× 73 1.5× 20 860
Patrick Gallinari France 14 331 1.4× 178 2.3× 50 0.7× 65 0.9× 43 0.9× 50 745

Countries citing papers authored by Gherardo Varando

Since Specialization
Citations

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

Fields of papers citing papers by Gherardo Varando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gherardo Varando. 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 Gherardo Varando. The network helps show where Gherardo Varando may publish in the future.

Co-authorship network of co-authors of Gherardo Varando

This figure shows the co-authorship network connecting the top 25 collaborators of Gherardo Varando. A scholar is included among the top collaborators of Gherardo Varando 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 Gherardo Varando. Gherardo Varando 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.
Varando, Gherardo, et al.. (2024). Large language models for causal hypothesis generation in science. Machine Learning Science and Technology. 6(1). 13001–13001. 5 indexed citations
2.
Varando, Gherardo, et al.. (2024). Staged trees and asymmetry-labeled DAGs. Metrika. 88(6). 855–882. 3 indexed citations
3.
Varando, Gherardo, et al.. (2024). Causal hybrid modeling with double machine learning—applications in carbon flux modeling. Machine Learning Science and Technology. 5(3). 35021–35021. 5 indexed citations
4.
Varando, Gherardo, et al.. (2024). Structural learning of simple staged trees. Data Mining and Knowledge Discovery. 38(3). 1520–1544. 4 indexed citations
5.
Pérez-Suay, Adrián, Ana B. Ruescas, Álvaro Moreno‐Martínez, et al.. (2023). Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario. RiuNet (Politechnical University of Valencia).
6.
Runge, Jakob, Andreas Gerhardus, Gherardo Varando, Veronika Eyring, & Gustau Camps‐Valls. (2023). Publisher Correction: Causal inference for time series. Nature Reviews Earth & Environment. 4(8). 596–596. 1 indexed citations
7.
Varando, Gherardo, et al.. (2023). Using staged tree models for health data: Investigating invasive fungal infections by aspergillus and other filamentous fungi. Computational and Structural Biotechnology Journal. 24. 12–22. 1 indexed citations
8.
Varando, Gherardo, et al.. (2023). Learning latent functions for causal discovery. Machine Learning Science and Technology. 4(3). 35004–35004. 1 indexed citations
9.
Varando, Gherardo, et al.. (2023). Pairwise causal discovery with support measure machines. Applied Soft Computing. 150. 111030–111030. 1 indexed citations
10.
Varando, Gherardo, et al.. (2023). A new class of generative classifiers based on staged tree models. Knowledge-Based Systems. 268. 110488–110488. 8 indexed citations
11.
Riccomagno, Eva, et al.. (2022). The R Package stagedtrees for Structural Learning of Stratified Staged Trees. Journal of Statistical Software. 102(6). 18 indexed citations
12.
Varando, Gherardo, Miguel‐Ángel Fernández‐Torres, & Gustau Camps‐Valls. (2021). Learning Granger Causal Feature Representations. International Conference on Machine Learning. 1 indexed citations
13.
Varando, Gherardo & Niels Richard Hansen. (2020). Graphical continuous Lyapunov models.. Research at the University of Copenhagen (University of Copenhagen). 989–998. 1 indexed citations
14.
Varando, Gherardo, et al.. (2020). On generating random Gaussian graphical models. International Journal of Approximate Reasoning. 125. 240–250. 3 indexed citations
15.
Varando, Gherardo, Ruth Benavides‐Piccione, Alberto Muñoz, et al.. (2018). MultiMap: A Tool to Automatically Extract and Analyse Spatial Microscopic Data From Large Stacks of Confocal Microscopy Images. Frontiers in Neuroanatomy. 12. 37–37. 4 indexed citations
16.
Varando, Gherardo, et al.. (2015). Decision functions for chain classifiers based on Bayesian networks for multi-label classification. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1 indexed citations
17.
Varando, Gherardo, Concha Bielza, & Pedro Larrañaga. (2015). Decision boundary for discrete Bayesian network classifiers. Journal of Machine Learning Research. 16(1). 2725–2749. 16 indexed citations
18.
Varando, Gherardo, Concha Bielza, & Pedro Larrañaga. (2015). Decision functions for chain classifiers based on Bayesian networks for multi-label classification. International Journal of Approximate Reasoning. 68. 164–178. 11 indexed citations
19.
Borchani, Hanen, Gherardo Varando, Concha Bielza, & Pedro Larrañaga. (2015). A survey on multi‐output regression. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 5(5). 216–233. 409 indexed citations breakdown →
20.
Varando, Gherardo, Pedro L. López-Cruz, Thomas D. Nielsen, Pedro Larrañaga, & Concha Bielza. (2014). Conditional Density Approximations with Mixtures of Polynomials. International Journal of Intelligent Systems. 30(3). 236–264. 2 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.

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