Sara Susca
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Francesco BulloSonia Martı́nezLarry MatthiesJeremy MaMax BajracharyaAnurag GanguliJorge CortésRoland Brockers
- Topics
- Spacecraft and Cryogenic Technologies (6 papers)Spacecraft Design and Technology (6 papers)Distributed Control Multi-Agent Systems (6 papers)
- Cited by
- Computer Networks and CommunicationsAerospace EngineeringComputer Vision and Pattern Recognition
- Journals
- AutomaticaThe International Journal of Robotics ResearchIEEE Transactions on Control Systems Technology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sara Susca
24 papers receiving 421 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 256
- Aerospace Engineering 158
- Computer Vision and Pattern Recognition 103
- Control and Systems Engineering 85
- Electrical and Electronic Engineering 55
Countries citing papers authored by Sara Susca
This map shows the geographic impact of Sara Susca'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 Sara Susca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Susca more than expected).
Fields of papers citing papers by Sara Susca
This network shows the impact of papers produced by Sara Susca. 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 Sara Susca. The network helps show where Sara Susca may publish in the future.
Co-authorship network of co-authors of Sara Susca
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Susca. A scholar is included among the top collaborators of Sara Susca 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 Sara Susca. Sara Susca 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 | 6 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | Use of Model Payload for Europa Mission Development | 2 |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 45 | |
| 13 | 25 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | Distributed boundary estimation and monitoring | 2 |
| 18 | 55 | |
| 19 | 58 | |
| 20 | 5 |
About Sara Susca
Sara Susca is a scholar working on Aerospace Engineering, Computer Networks and Communications and Instrumentation, having authored 26 papers that have together received 449 indexed citations. Recurring topics across this work include Spacecraft and Cryogenic Technologies (6 papers), Spacecraft Design and Technology (6 papers) and Distributed Control Multi-Agent Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (256 citations), Aerospace Engineering (158 citations) and Computer Vision and Pattern Recognition (103 citations). Sara Susca has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Francesco Bullo, Sonia Martı́nez, Larry Matthies, Jeremy Ma, Max Bajracharya, Anurag Ganguli, Jorge Cortés, Roland Brockers, David Zhu and Bogdan Oaida. Their work appears in journals such as Automatica, The International Journal of Robotics Research and IEEE Transactions on Control Systems Technology.
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.