Sara Susca

645 citations
27 papers · 458 · h-index 8

Impact in

Papers in

Sara Susca

25 papers receiving 431 citations

Peers

Sara Susca
Comparison fields: 5 of 70
  • Computer Networks and Communications 257
  • Aerospace Engineering 162
  • Computer Vision and Pattern Recognition 104
  • Control and Systems Engineering 88
  • Ocean Engineering 41
Replace Nicola Ceccarelli with:
Nicola Ceccarelli Italy
Kelsey Saulnier United States
Beeshanga Abewardana Jayawickrama Australia
Camillo Gentile United States
Zixuan Zheng China
Shuo Shi China
Ying He Australia
Xuesong Cai China
Ran Duan China
Sara Susca relative to Nicola Ceccarelli Italy Nicola Ceccarelli's profile →
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Citations per year

Countries citing papers authored by Sara Susca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Sara Susca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Susca Line = papers co-authored together Sara Susca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008163
2 200658
3 200655
4 201245
5 201526
6 201225
7 20079
8 20188
9 20087
10 20217
11 20097
12 20176
13 20186
14 20176
15 20235
16 20145
17 20065
18 20213
19 20093
20
Use of Model Payload for Europa Mission Development
20162

About Sara Susca

Sara Susca is a scholar working on Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Astronomy and Astrophysics and Control and Systems Engineering, having authored 27 papers that have together received 458 indexed citations. Recurring topics across this work include Spacecraft Design and Technology (7 papers), Distributed Control Multi-Agent Systems (6 papers), Spacecraft and Cryogenic Technologies (6 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (4 papers), Systems Engineering Methodologies and Applications (3 papers), Optimization and Search Problems (3 papers) and Astro and Planetary Science (3 papers). The work is most often cited by research in Computer Networks and Communications (257 citations), Aerospace Engineering (162 citations), Computer Vision and Pattern Recognition (104 citations), Control and Systems Engineering (88 citations) and Ocean Engineering (41 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 The International Journal of Robotics Research, Automatica, IEEE Transactions on Control Systems Technology, SIAM Journal on Control and Optimization and AIP conference proceedings.

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.

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