Andrés Cano
Impact in
- Artificial Intelligence top 5%
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Logic, Reasoning, and Knowledge
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- Multi-Criteria Decision Making
- Data Quality and Management
Papers in
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- Bayesian Modeling and Causal Inference 49
- AI-based Problem Solving and Planning 12
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- Data Management and Algorithms 21
- Co-authors
- Serafı́n Moral (41 shared papers)Antonio Salmerón (11 shared papers)Javier G. Castellano (4 shared papers)Andrés R. Masegosa (7 shared papers)Luis M. de Campos (2 shared papers)Joaquín Abellán (3 shared papers)Thomas Lukasiewicz (1 shared paper)Fábio Gagliardi Cozman (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (9 papers)International Journal of Intelligent Systems (4 papers)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (3 papers)Lecture notes in computer science (16 papers)Knowledge-Based Systems (1 paper)
- Partner nations
- SpainDenmarkSwitzerland
In The Last Decade
Andrés Cano
54 papers receiving 564 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 505
- Management Science and Operations Research 183
- Signal Processing 138
- Computational Theory and Mathematics 121
- Statistics and Probability 52
Countries citing papers authored by Andrés Cano
This map shows the geographic impact of Andrés Cano'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 Andrés Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrés Cano more than expected).
Fields of papers citing papers by Andrés Cano
This network shows the impact of papers produced by Andrés Cano. 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 Andrés Cano. The network helps show where Andrés Cano may publish in the future.
Co-authors
The 21 scholars most cited alongside Andrés Cano, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 71 | |
| 2 | 2011 | 66 | |
| 3 | 2000 | 52 | |
| 4 | 2002 | 44 | |
| 5 | 1995 | 40 | |
| 6 | 2002 | 32 | |
| 7 | 2002 | 28 | |
| 8 | 2011 | 24 | |
| 9 | 2006 | 22 | |
| 10 | A Review of Propagation Algorithms for Imprecise Probabilities. | 1999 | 17 |
| 11 | 2006 | 16 | |
| 12 | 2005 | 16 | |
| 13 | 2021 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2010 | 12 | |
| 17 | 2000 | 10 | |
| 18 | 2010 | 9 | |
| 19 | 2002 | 9 | |
| 20 | 2003 | 9 |
About Andrés Cano
Andrés Cano is a scholar working on Artificial Intelligence, Signal Processing, Management Science and Operations Research, Information Systems and Computational Theory and Mathematics, having authored 55 papers that have together received 617 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (49 papers), Data Management and Algorithms (21 papers), Data Mining Algorithms and Applications (12 papers), AI-based Problem Solving and Planning (12 papers), Multi-Criteria Decision Making (8 papers), Rough Sets and Fuzzy Logic (8 papers), Data Quality and Management (7 papers) and Statistical Methods and Bayesian Inference (4 papers). The work is most often cited by research in Artificial Intelligence (505 citations), Management Science and Operations Research (183 citations), Signal Processing (138 citations), Computational Theory and Mathematics (121 citations) and Statistics and Probability (52 citations). Andrés Cano has collaborated with scholars based in Spain, Denmark and Switzerland. Frequent co-authors include Serafı́n Moral, Antonio Salmerón, Javier G. Castellano, Andrés R. Masegosa, Luis M. de Campos, Joaquín Abellán, Thomas Lukasiewicz, Fábio Gagliardi Cozman, Juan M. Fernández‐Luna and Alessandro Antonucci. Their work appears in journals such as International Journal of Approximate Reasoning, International Journal of Intelligent Systems, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Lecture notes in computer science and Knowledge-Based Systems.
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.