Gherardo Varando
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- Text and Document Classification Technologies
- Machine Learning and Data Classification
- Neural Networks and Applications
- Environmental Engineering top 10%
Papers in
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- Bayesian Modeling and Causal Inference 14
- Machine Learning and Algorithms 4
- Neural Networks and Applications 3
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- Data Mining Algorithms and Applications 3
- Co-authors
- Concha Bielza (7 shared papers)Pedro Larrañaga (7 shared papers)Hanen Borchani (1 shared paper)Gustau Camps‐Valls (8 shared papers)Jakob Runge (3 shared papers)Andreas Gerhardus (3 shared papers)Veronika Eyring (2 shared papers)Laure Zanna (1 shared paper)
In The Last Decade
Gherardo Varando
25 papers receiving 689 citations
Gherardo Varando's Hit Papers
Peers
Comparison fields: 5 of 130
- Artificial Intelligence 231
- Environmental Engineering 73
- Computer Vision and Pattern Recognition 77
- Global and Planetary Change 78
- Signal Processing 37
Countries citing papers authored by Gherardo Varando
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
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-authors
The 25 scholars most cited alongside Gherardo Varando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on multi‐output regression Hit paper breakdown → | 2015 | 422 |
| 2 | Causal inference for time series Hit paper breakdown → | 2023 | 134 |
| 3 | 2023 | 57 | |
| 4 | 2022 | 18 | |
| 5 | Decision boundary for discrete Bayesian network classifiers | 2015 | 16 |
| 6 | 2015 | 11 | |
| 7 | 2024 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2014 | 2 | |
| 17 | Decision functions for chain classifiers based on Bayesian networks for multi-label classification | 2015 | 1 |
| 18 | 2023 | 1 | |
| 19 | Learning Granger Causal Feature Representations | 2021 | 1 |
| 20 | 2023 | 1 |
About Gherardo Varando
Gherardo Varando is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Computational Theory and Mathematics and Statistics and Probability, having authored 25 papers that have together received 710 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (14 papers), Machine Learning and Algorithms (4 papers), Data Mining Algorithms and Applications (3 papers), Face and Expression Recognition (3 papers), Data Management and Algorithms (3 papers), Neural Networks and Applications (3 papers), Advanced Causal Inference Techniques (2 papers) and Rough Sets and Fuzzy Logic (2 papers). The work is most often cited by research in Artificial Intelligence (231 citations), Environmental Engineering (73 citations), Computer Vision and Pattern Recognition (77 citations), Global and Planetary Change (78 citations) and Signal Processing (37 citations). Gherardo Varando has collaborated with scholars based in Spain, Denmark and Germany. Frequent co-authors include Concha Bielza, Pedro Larrañaga, Hanen Borchani, Gustau Camps‐Valls, Jakob Runge, Andreas Gerhardus, Veronika Eyring, Laure Zanna, Georg Martius and Emili Balaguer‐Ballester. Their work appears in journals such as Machine Learning Science and Technology, Nature Reviews Earth & Environment, International Journal of Approximate Reasoning, Applied Intelligence and Physics Reports.
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.