Ricardo Vilalta
- Artificial Intelligence top 1%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Youssef DrissiChristophe Giraud-CarrierPavel BrazdilCarlos SoaresSheng MaS. MaT. F. StepinskiIrina Rish
- Topics
- Machine Learning and Data Classification (8 papers)Machine Learning and Algorithms (7 papers)Data Mining Algorithms and Applications (5 papers)
- Journals
- Monthly Notices of the Royal Astronomical SocietyIEEE Transactions on Geoscience and Remote SensingMachine Learning
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Ricardo Vilalta
55 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 1.1k
- Computer Networks and Communications 417
- Information Systems 393
- Computer Vision and Pattern Recognition 304
- Signal Processing 160
Countries citing papers authored by Ricardo Vilalta
This map shows the geographic impact of Ricardo Vilalta'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 Ricardo Vilalta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Vilalta more than expected).
Fields of papers citing papers by Ricardo Vilalta
This network shows the impact of papers produced by Ricardo Vilalta. 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 Ricardo Vilalta. The network helps show where Ricardo Vilalta may publish in the future.
Co-authorship network of co-authors of Ricardo Vilalta
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Vilalta. A scholar is included among the top collaborators of Ricardo Vilalta 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 Ricardo Vilalta. Ricardo Vilalta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 39 | |
| 8 | 38 | |
| 9 | 2 | |
| 10 | 27 | |
| 11 | The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression and Numerical Simulations | 2 |
| 12 | 2 | |
| 13 | 280 | |
| 14 | Identifying and Characterizing Class Clusters to Explain Learning Performance | 1 |
| 15 | Piece-wise model fitting using local data patterns | 3 |
| 16 | Thematic Maps of Martian Topography Generated by a Clustering Algorithm | 1 |
| 17 | Algorithmic Classification of Drainage Networks on Mars and its Relation to Martian Geological Units | 1 |
| 18 | A Characterization of Difficult Problems in Classification. | 7 |
| 19 | A Quantification of Distance Bias Between Evaluation Metrics In Classification | 15 |
| 20 | Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction | 1 |
About Ricardo Vilalta
Ricardo Vilalta is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (8 papers), Machine Learning and Algorithms (7 papers) and Data Mining Algorithms and Applications (5 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Software (91 citations) and Computer Networks and Communications (417 citations). Ricardo Vilalta has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Youssef Drissi, Christophe Giraud-Carrier, Pavel Brazdil, Carlos Soares, Sheng Ma, S. Ma, T. F. Stepinski, Irina Rish, R.K. Sahoo and Adam J. Oliner. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, IEEE Transactions on Geoscience and Remote Sensing and Machine Learning.
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.