Marcelo Saval-Calvo
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Aerospace Engineering
- Geology top 10%
- Computational Mechanics
- Co-authors
- Jorge Azorín-LópezAndrés Fuster-GuillóJosé García‐RodríguezMiguel CazorlaRobert B. FisherSergio Orts‐EscolanoVíctor Villena-MartínezAntonio Martínez-Álvarez
- Topics
- Human Pose and Action Recognition (11 papers)Anomaly Detection Techniques and Applications (11 papers)Robotics and Sensor-Based Localization (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- SpainUnited KingdomEcuador
In The Last Decade
Marcelo Saval-Calvo
31 papers receiving 317 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 201
- Artificial Intelligence 86
- Aerospace Engineering 73
- Geology 46
- Computational Mechanics 31
Countries citing papers authored by Marcelo Saval-Calvo
This map shows the geographic impact of Marcelo Saval-Calvo'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 Marcelo Saval-Calvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo Saval-Calvo more than expected).
Fields of papers citing papers by Marcelo Saval-Calvo
This network shows the impact of papers produced by Marcelo Saval-Calvo. 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 Marcelo Saval-Calvo. The network helps show where Marcelo Saval-Calvo may publish in the future.
Co-authorship network of co-authors of Marcelo Saval-Calvo
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Saval-Calvo. A scholar is included among the top collaborators of Marcelo Saval-Calvo 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 Marcelo Saval-Calvo. Marcelo Saval-Calvo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 15 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 16 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 14 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 19 | |
| 18 | 17 | |
| 19 | 13 | |
| 20 | 25 |
About Marcelo Saval-Calvo
Marcelo Saval-Calvo is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 33 papers that have together received 323 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (11 papers) and Robotics and Sensor-Based Localization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Geology (46 citations) and Instrumentation (12 citations). Marcelo Saval-Calvo has collaborated with scholars based in Spain, United Kingdom and Ecuador. Frequent co-authors include Jorge Azorín-López, Andrés Fuster-Guilló, José García‐Rodríguez, Miguel Cazorla, Robert B. Fisher, Sergio Orts‐Escolano, Víctor Villena-Martínez, Antonio Martínez-Álvarez, Sergio Cuenca-Asensi and Vicente Morell. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.