Alfredo Vellido
- Artificial Intelligence top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Paulo LisböaJosé D. Martín‐GuerreroKaron MeehanEnrique RomeroVicent RibasIván OlierMargarida Julià‐SapéCarles Arús
- Topics
- Neural Networks and Applications (24 papers)Machine Learning in Bioinformatics (17 papers)Receptor Mechanisms and Signaling (17 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- SpainUnited KingdomItaly
In The Last Decade
Alfredo Vellido
131 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Artificial Intelligence 936
- Radiology, Nuclear Medicine and Imaging 337
- Molecular Biology 233
- Computer Vision and Pattern Recognition 231
- Management Science and Operations Research 190
Countries citing papers authored by Alfredo Vellido
This map shows the geographic impact of Alfredo Vellido'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 Alfredo Vellido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alfredo Vellido more than expected).
Fields of papers citing papers by Alfredo Vellido
This network shows the impact of papers produced by Alfredo Vellido. 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 Alfredo Vellido. The network helps show where Alfredo Vellido may publish in the future.
Co-authorship network of co-authors of Alfredo Vellido
This figure shows the co-authorship network connecting the top 25 collaborators of Alfredo Vellido. A scholar is included among the top collaborators of Alfredo Vellido 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 Alfredo Vellido. Alfredo Vellido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | Societal issues in machine learning: when learning from data is not enough | 1 |
| 5 | A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases | 4 |
| 6 | Bayesian semi non-negative matrix factorisation | 2 |
| 7 | Physics and machine learning: Emerging paradigms | 2 |
| 8 | Misclassification of class C G-protein-coupled receptors as a label noise problem | 2 |
| 9 | Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. | 4 |
| 10 | Visualizing pay-per-view television customers churn using cartograms and flow maps. | 2 |
| 11 | Robust cartogram visualization of outliers in manifold learning | 1 |
| 12 | Kernel Generative Topographic Mapping | 12 |
| 13 | DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization | 1 |
| 14 | Variational GTM | 2 |
| 15 | Learning what is important: feature selection and rule extraction in a virtual course | 20 |
| 16 | Identification of fuzzy models to predict students performance in an e-learning environment | 15 |
| 17 | Handling outliers and missing data in brain tumour clinical assessment using t-GTM. | 3 |
| 18 | 5 | |
| 19 | 13 | |
| 20 | The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. | 2 |
About Alfredo Vellido
Alfredo Vellido is a scholar working on Health Informatics, Signal Processing and Neurology, having authored 136 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (24 papers), Machine Learning in Bioinformatics (17 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Health Informatics (158 citations), Health Information Management (141 citations) and Artificial Intelligence (936 citations). Alfredo Vellido has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Paulo Lisböa, José D. Martín‐Guerrero, Karon Meehan, Enrique Romero, Vicent Ribas, Iván Olier, Margarida Julià‐Sapé, Carles Arús, Àngela Nebot and Juan Carlos Ruiz‐Rodríguez. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific 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.