Juan Luis Suárez
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Health Informatics top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Salvador GarcíaFrancisco HerreraSiham TabikAnabel Gómez-RíosJosé Luis Martín RodríguezIván Sevillano-GarcíaDavid CharteEmilio Guirado
- Topics
- Face and Expression Recognition (6 papers)Machine Learning and Algorithms (3 papers)Machine Learning and Data Classification (3 papers)
- Partner nations
- Spain
In The Last Decade
Juan Luis Suárez
10 papers receiving 343 citations
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 229
- Artificial Intelligence 211
- Computer Vision and Pattern Recognition 71
- Health Informatics 46
- Pulmonary and Respiratory Medicine 34
Countries citing papers authored by Juan Luis Suárez
This map shows the geographic impact of Juan Luis Suárez'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 Juan Luis Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Luis Suárez more than expected).
Fields of papers citing papers by Juan Luis Suárez
This network shows the impact of papers produced by Juan Luis Suárez. 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 Juan Luis Suárez. The network helps show where Juan Luis Suárez may publish in the future.
Co-authorship network of co-authors of Juan Luis Suárez
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Luis Suárez. A scholar is included among the top collaborators of Juan Luis Suárez 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 Juan Luis Suárez. Juan Luis Suárez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 2 | |
| 5 | pyDML: A Python Library for Distance Metric Learning | 8 |
| 6 | 244 | |
| 7 | 69 | |
| 8 | A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. | 13 |
| 9 | A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Experiments | 2 |
| 10 | The Life of Lazarillo de Tormes and of His Machine Learning Adversities: Non-traditional authorship attribution techniques in the context of the Lazarillo | 5 |
About Juan Luis Suárez
Juan Luis Suárez is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Machine Learning and Algorithms (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Health Informatics (46 citations), Radiology, Nuclear Medicine and Imaging (229 citations) and Artificial Intelligence (211 citations). Juan Luis Suárez has collaborated with scholars based in Spain. Frequent co-authors include Salvador García, Francisco Herrera, Siham Tabik, Anabel Gómez-Ríos, José Luis Martín Rodríguez, Iván Sevillano-García, David Charte, Emilio Guirado, Julián Luengo and Fabián Herrera. Their work appears in journals such as Neurocomputing, Machine Learning and Journal of Machine Learning Research.
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.