Lluís Belanche
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Water Science and Technology top 10%
- Information Systems top 10%
- Molecular Biology
- Co-authors
- Luis Carlos MolinaÀngela NebotJoaquím ComasJulio J. ValdésManel PochAnicet R. BlanchXavier BonjochElisenda Ballesté
- Topics
- Neural Networks and Applications (3 papers)Face and Expression Recognition (3 papers)Multi-Criteria Decision Making (2 papers)
- Partner nations
- SpainUnited StatesIran
In The Last Decade
Lluís Belanche
18 papers receiving 612 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 304
- Computer Vision and Pattern Recognition 178
- Water Science and Technology 119
- Information Systems 106
- Molecular Biology 76
Countries citing papers authored by Lluís Belanche
This map shows the geographic impact of Lluís Belanche'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 Lluís Belanche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lluís Belanche more than expected).
Fields of papers citing papers by Lluís Belanche
This network shows the impact of papers produced by Lluís Belanche. 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 Lluís Belanche. The network helps show where Lluís Belanche may publish in the future.
Co-authorship network of co-authors of Lluís Belanche
This figure shows the co-authorship network connecting the top 25 collaborators of Lluís Belanche. A scholar is included among the top collaborators of Lluís Belanche 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 Lluís Belanche. Lluís Belanche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Bridging deep and kernel methods | 4 |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 42 | |
| 10 | 60 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | On the design of metric relations. | 2 |
| 14 | 1 | |
| 15 | 420 | |
| 16 | 69 | |
| 17 | 41 | |
| 18 | The Nought Attributes in Knowledge-Based Systems. | 2 |
About Lluís Belanche
Lluís Belanche is a scholar working on Software, Artificial Intelligence and Statistics and Probability, having authored 18 papers that have together received 683 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Face and Expression Recognition (3 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Computer Vision and Pattern Recognition (178 citations) and Water Science and Technology (119 citations). Lluís Belanche has collaborated with scholars based in Spain, United States and Iran. Frequent co-authors include Luis Carlos Molina, Àngela Nebot, Joaquím Comas, Julio J. Valdés, Manel Poch, Anicet R. Blanch, Xavier Bonjoch, Elisenda Ballesté, D.R. Avresky and Javier Alonso. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Neurocomputing.
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.