Elisabetta Cataldi
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Robot Manipulation and Learning
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- Robotic Path Planning Algorithms
Papers in
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- Adaptive Control of Nonlinear Systems 11
- Robot Manipulation and Learning 4
- Control and Dynamics of Mobile Robots 4
- Robotic Mechanisms and Dynamics 2
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- Robotic Path Planning Algorithms 7
- Co-authors
- Gianluca Antonelli (15 shared papers)Antonio Franchi (4 shared papers)S. Chiaverini (6 shared papers)Francesco Pierri (5 shared papers)Fabrizio Caccavale (5 shared papers)Giuseppe Muscio (4 shared papers)Paolo Robuffo Giordano (2 shared papers)Filippo Arrichiello (1 shared paper)
In The Last Decade
Elisabetta Cataldi
15 papers receiving 509 citations
Peers
Comparison fields: 5 of 33
- Control and Systems Engineering 364
- Computer Vision and Pattern Recognition 263
- Aerospace Engineering 197
- Ocean Engineering 95
- Computer Networks and Communications 93
Countries citing papers authored by Elisabetta Cataldi
This map shows the geographic impact of Elisabetta Cataldi'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 Elisabetta Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabetta Cataldi more than expected).
Fields of papers citing papers by Elisabetta Cataldi
This network shows the impact of papers produced by Elisabetta Cataldi. 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 Elisabetta Cataldi. The network helps show where Elisabetta Cataldi may publish in the future.
Co-authors
The 22 scholars most cited alongside Elisabetta Cataldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2017 | 97 | |
| 3 | 2016 | 56 | |
| 4 | 2017 | 50 | |
| 5 | 2018 | 35 | |
| 6 | 2016 | 28 | |
| 7 | 2013 | 23 | |
| 8 | 2016 | 23 | |
| 9 | 2014 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 11 | |
| 14 | 2015 | 5 | |
| 15 | 2018 | 5 |
About Elisabetta Cataldi
Elisabetta Cataldi is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Ocean Engineering, Computer Networks and Communications and Aerospace Engineering, having authored 15 papers that have together received 523 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (11 papers), Underwater Vehicles and Communication Systems (7 papers), Robotic Path Planning Algorithms (7 papers), Robot Manipulation and Learning (4 papers), Control and Dynamics of Mobile Robots (4 papers), Distributed Control Multi-Agent Systems (3 papers), Robotics and Sensor-Based Localization (2 papers) and Robotic Mechanisms and Dynamics (2 papers). The work is most often cited by research in Control and Systems Engineering (364 citations), Computer Vision and Pattern Recognition (263 citations), Aerospace Engineering (197 citations), Ocean Engineering (95 citations) and Computer Networks and Communications (93 citations). Elisabetta Cataldi has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Gianluca Antonelli, Antonio Franchi, S. Chiaverini, Francesco Pierri, Fabrizio Caccavale, Giuseppe Muscio, Paolo Robuffo Giordano, Filippo Arrichiello, Davide Bicego and Anı́bal Ollero. Their work appears in journals such as IEEE Transactions on Control Systems Technology, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, Marine Technology Society Journal and Max Planck Digital Library.
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.