Ana Aguilera
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Information Systems
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Yudith CardinaleIrvin DongoFelipe RojasFabián RiquelmeMariano Sentı́Josep Maria Manresa‐DomínguezFang ZhaoR. Pezoa
- Topics
- Spam and Phishing Detection (5 papers)Emotion and Mood Recognition (5 papers)Data Management and Algorithms (5 papers)
In The Last Decade
Ana Aguilera
34 papers receiving 210 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 58
- Experimental and Cognitive Psychology 43
- Information Systems 39
- Sociology and Political Science 38
- Computer Vision and Pattern Recognition 31
Countries citing papers authored by Ana Aguilera
This map shows the geographic impact of Ana Aguilera'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 Ana Aguilera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Aguilera more than expected).
Fields of papers citing papers by Ana Aguilera
This network shows the impact of papers produced by Ana Aguilera. 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 Ana Aguilera. The network helps show where Ana Aguilera may publish in the future.
Co-authorship network of co-authors of Ana Aguilera
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Aguilera. A scholar is included among the top collaborators of Ana Aguilera 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 Ana Aguilera. Ana Aguilera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 13 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | LUMBALGÍA: UNA DOLENCIA MUY POPULAR Y A LA VEZ DESCONOCIDA | 2 |
| 12 | On An Extension Of Fuzzy Aggregate Functions For Databases | 1 |
| 13 | Rendimiento de consultas SQLf en arquitecturas débil y fuertemente acopladas | 0 |
| 14 | Representación y manipulación de datos médicos en marcha patológica | 0 |
| 15 | MEDICAL COORDINATION WORK BASED IN AGENTS | 0 |
| 16 | Cervical pre-cancerous detection from videocolposcopic images using an artificial neural network. | 1 |
| 17 | 13 | |
| 18 | 3 | |
| 19 | Diseño y validación de una celda de difusión para estudios de liberación in vitro de biomoléculas | 2 |
| 20 | [Posterior leukoencephalopathy caused by erythropoietin]. | 2 |
About Ana Aguilera
Ana Aguilera is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 42 papers that have together received 221 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Emotion and Mood Recognition (5 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (43 citations), Signal Processing (26 citations) and Transportation (14 citations). Ana Aguilera has collaborated with scholars based in Chile, Venezuela and Peru. Frequent co-authors include Yudith Cardinale, Irvin Dongo, Felipe Rojas, Fabián Riquelme, Mariano Sentı́, Josep Maria Manresa‐Domínguez, Fang Zhao, R. Pezoa, Talip Kilic and Sergio Ordóñez. Their work appears in journals such as IEEE Access, Journal of Biomechanics and Sensors.
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.