Favio R. Masson
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- E. NebotJosé GuivantJuan NietoStewart WorrallVivek K GoyalP. JuliánGerald SchullerJelena Kovačević
- Topics
- Indoor and Outdoor Localization Technologies (8 papers)Target Tracking and Data Fusion in Sensor Networks (8 papers)Robotics and Sensor-Based Localization (7 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Transactions on Intelligent Transportation SystemsElectronics Letters
- Partner nations
- ArgentinaAustraliaUnited States
In The Last Decade
Favio R. Masson
27 papers receiving 250 citations
Peers
Comparison fields: 5 of 55
- Aerospace Engineering 134
- Computer Vision and Pattern Recognition 121
- Electrical and Electronic Engineering 76
- Artificial Intelligence 48
- Control and Systems Engineering 43
Countries citing papers authored by Favio R. Masson
This map shows the geographic impact of Favio R. Masson'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 Favio R. Masson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Favio R. Masson more than expected).
Fields of papers citing papers by Favio R. Masson
This network shows the impact of papers produced by Favio R. Masson. 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 Favio R. Masson. The network helps show where Favio R. Masson may publish in the future.
Co-authorship network of co-authors of Favio R. Masson
This figure shows the co-authorship network connecting the top 25 collaborators of Favio R. Masson. A scholar is included among the top collaborators of Favio R. Masson 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 Favio R. Masson. Favio R. Masson 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 | 1 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | System based on sensor networks for application in forest fire prevention | 4 |
| 15 | A Wireless Sensor Network for Endotracheal Tube Cuff Pressure Monitoring | 1 |
| 16 | The hybrid metric map: a solution for precision farming | 6 |
| 17 | 54 | |
| 18 | 95 | |
| 19 | 0 | |
| 20 | 1 |
About Favio R. Masson
Favio R. Masson is a scholar working on Aerospace Engineering, Radiological and Ultrasound Technology and Signal Processing, having authored 31 papers that have together received 273 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (8 papers), Target Tracking and Data Fusion in Sensor Networks (8 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Aerospace Engineering (134 citations) and Geology (16 citations). Favio R. Masson has collaborated with scholars based in Argentina, Australia and United States. Frequent co-authors include E. Nebot, José Guivant, Juan Nieto, Stewart Worrall, Vivek K Goyal, P. Julián, Gerald Schuller, Jelena Kovačević, Mao Shan and Pablo S. Mandolesi. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Intelligent Transportation Systems and Electronics Letters.
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.