María Santos
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Aerospace Engineering
- Artificial Intelligence
- Human-Computer Interaction top 5%
- Co-authors
- Magnus EgerstedtYancy Diaz-MercadoNarcís ParésMarie-Monique SchaperLaura MalinverniGennaro NotomistaSiddharth MayyaNaomi Ehrich Leonard
- Topics
- Distributed Control Multi-Agent Systems (13 papers)Robotics and Sensor-Based Localization (6 papers)Robotic Path Planning Algorithms (5 papers)
- Cited by
- Human-Computer InteractionComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on RoboticsInternational Journal of Human-Computer StudiesIEEE Robotics and Automation Letters
- Partner nations
- United StatesItalySpain
In The Last Decade
María Santos
21 papers receiving 358 citations
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 181
- Computer Vision and Pattern Recognition 128
- Aerospace Engineering 73
- Artificial Intelligence 57
- Human-Computer Interaction 55
Countries citing papers authored by María Santos
This map shows the geographic impact of María Santos'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 María Santos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Santos more than expected).
Fields of papers citing papers by María Santos
This network shows the impact of papers produced by María Santos. 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 María Santos. The network helps show where María Santos may publish in the future.
Co-authorship network of co-authors of María Santos
This figure shows the co-authorship network connecting the top 25 collaborators of María Santos. A scholar is included among the top collaborators of María Santos 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 María Santos. María Santos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 9 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 35 | |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 18 | |
| 15 | 27 | |
| 16 | 10 | |
| 17 | 61 | |
| 18 | 80 | |
| 19 | 13 | |
| 20 | 7 |
About María Santos
María Santos is a scholar working on Museology, Computer Networks and Communications and Human-Computer Interaction, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Robotics and Sensor-Based Localization (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Computer Networks and Communications (181 citations) and Computer Vision and Pattern Recognition (128 citations). María Santos has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Magnus Egerstedt, Yancy Diaz-Mercado, Narcís Parés, Marie-Monique Schaper, Laura Malinverni, Gennaro Notomista, Siddharth Mayya, Naomi Ehrich Leonard, Matthieu R. Bloch and Giuseppe Notarstefano. Their work appears in journals such as IEEE Transactions on Robotics, International Journal of Human-Computer Studies and IEEE Robotics and Automation 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.