Antonio‐Javier Gallego
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Ocean Engineering top 5%
- Aerospace Engineering top 10%
- Co-authors
- Jorge Calvo-ZaragozaAntonio PertusaPablo GilJuan Ramón Rico-JuanJose J. Valero-MasRobert B. FisherMario Nieto-HidalgoFrancisco J. Castellanos
- Topics
- Advanced Neural Network Applications (7 papers)Machine Learning and Data Classification (7 papers)Music and Audio Processing (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- SpainUnited KingdomCanada
In The Last Decade
Antonio‐Javier Gallego
35 papers receiving 776 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 341
- Artificial Intelligence 187
- Media Technology 117
- Ocean Engineering 107
- Aerospace Engineering 101
Countries citing papers authored by Antonio‐Javier Gallego
This map shows the geographic impact of Antonio‐Javier Gallego'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 Antonio‐Javier Gallego with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio‐Javier Gallego more than expected).
Fields of papers citing papers by Antonio‐Javier Gallego
This network shows the impact of papers produced by Antonio‐Javier Gallego. 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 Antonio‐Javier Gallego. The network helps show where Antonio‐Javier Gallego may publish in the future.
Co-authorship network of co-authors of Antonio‐Javier Gallego
This figure shows the co-authorship network connecting the top 25 collaborators of Antonio‐Javier Gallego. A scholar is included among the top collaborators of Antonio‐Javier Gallego 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 Antonio‐Javier Gallego. Antonio‐Javier Gallego is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 29 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 24 | |
| 13 | 36 | |
| 14 | 125 | |
| 15 | 28 | |
| 16 | 0 | |
| 17 | 2 | |
| 18 | 26 | |
| 19 | 86 | |
| 20 | 1 |
About Antonio‐Javier Gallego
Antonio‐Javier Gallego is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 41 papers that have together received 802 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Machine Learning and Data Classification (7 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (341 citations), Media Technology (117 citations) and Pollution (97 citations). Antonio‐Javier Gallego has collaborated with scholars based in Spain, United Kingdom and Canada. Frequent co-authors include Jorge Calvo-Zaragoza, Antonio Pertusa, Pablo Gil, Juan Ramón Rico-Juan, Jose J. Valero-Mas, Robert B. Fisher, Mario Nieto-Hidalgo, Francisco J. Castellanos, Xavier Serra and Pedro Albarrán. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.