Álvaro Soto
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Co-authors
- Domingo MeryMiguél NussbaumIván LilloJuan Carlos NieblesDaniel MaturanaAldo CiprianoRoland MeyerIllah Nourbakhsh
- Topics
- Advanced Image and Video Retrieval Techniques (17 papers)Robotics and Sensor-Based Localization (14 papers)Multimodal Machine Learning Applications (10 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Science ApplicationsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- ChileUnited StatesBelgium
In The Last Decade
Álvaro Soto
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 138
- Computer Vision and Pattern Recognition 668
- Artificial Intelligence 430
- Aerospace Engineering 200
- Biomedical Engineering 143
- Control and Systems Engineering 141
Countries citing papers authored by Álvaro Soto
This map shows the geographic impact of Álvaro Soto'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 Álvaro Soto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Álvaro Soto more than expected).
Fields of papers citing papers by Álvaro Soto
This network shows the impact of papers produced by Álvaro Soto. 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 Álvaro Soto. The network helps show where Álvaro Soto may publish in the future.
Co-authorship network of co-authors of Álvaro Soto
This figure shows the co-authorship network connecting the top 25 collaborators of Álvaro Soto. A scholar is included among the top collaborators of Álvaro Soto 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 Álvaro Soto. Álvaro Soto 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 46 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 16 | |
| 11 | 42 | |
| 12 | 1 | |
| 13 | EXPERT SUPERVISION OF FLOTATION CELLS USING DIGITAL IMAGE PROCESSING | 0 |
| 14 | Towards Improving Top-N Recommendation by Generalization of SLIM. | 2 |
| 15 | 47 | |
| 16 | 75 | |
| 17 | Self adaptive particle filter | 61 |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 153 |
About Álvaro Soto
Álvaro Soto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 74 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (17 papers), Robotics and Sensor-Based Localization (14 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (668 citations), Computer Science Applications (113 citations) and Artificial Intelligence (430 citations). Álvaro Soto has collaborated with scholars based in Chile, United States and Belgium. Frequent co-authors include Domingo Mery, Miguél Nussbaum, Iván Lillo, Juan Carlos Niebles, Daniel Maturana, Aldo Cipriano, Roland Meyer, Illah Nourbakhsh, Nicholas Roy and S. Grange. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.