Jonathan Cacace
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
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- Robot Manipulation and Learning
- Adaptive Control of Nonlinear Systems
Papers in ⓘ
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- Robot Manipulation and Learning 12
- Adaptive Control of Nonlinear Systems 5
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- Robotic Path Planning Algorithms 14
- Advanced Vision and Imaging 5
- Co-authors
- Vincenzo Lippiello (36 shared papers)Alberto Finzi (17 shared papers)Fabio Ruggiero (15 shared papers)Hamid Sadeghian (2 shared papers)Àngel Santamaria‐Navarro (1 shared paper)M. A. Trujillo (1 shared paper)Juan Andrade‐Cetto (1 shared paper)Antidio Viguria (1 shared paper)
- Journals
- Robotics and Autonomous Systems (2 papers)IEEE Robotics and Automation Letters (2 papers)Applied Sciences (2 papers)Drones (2 papers)Robotics (1 paper)
- Partner nations
- ItalySpainSwitzerland
In The Last Decade
Jonathan Cacace
44 papers receiving 658 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 298
- Control and Systems Engineering 325
- Aerospace Engineering 266
- Human-Computer Interaction 43
- Computer Networks and Communications 93
Countries citing papers authored by Jonathan Cacace
This map shows the geographic impact of Jonathan Cacace'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 Jonathan Cacace with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cacace more than expected).
Fields of papers citing papers by Jonathan Cacace
This network shows the impact of papers produced by Jonathan Cacace. 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 Jonathan Cacace. The network helps show where Jonathan Cacace may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Cacace, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 2014 | 75 | |
| 3 | 2015 | 63 | |
| 4 | 2015 | 50 | |
| 5 | 2016 | 49 | |
| 6 | 2021 | 40 | |
| 7 | 2021 | 34 | |
| 8 | 2014 | 26 | |
| 9 | 2018 | 23 | |
| 10 | 2014 | 16 | |
| 11 | 2022 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2015 | 14 | |
| 14 | 2016 | 14 | |
| 15 | 2022 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2018 | 8 |
About Jonathan Cacace
Jonathan Cacace is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Human-Computer Interaction and Social Psychology, having authored 47 papers that have together received 677 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Robotics and Sensor-Based Localization (13 papers), Robot Manipulation and Learning (12 papers), Teleoperation and Haptic Systems (8 papers), Human-Automation Interaction and Safety (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Soft Robotics and Applications (5 papers) and Advanced Vision and Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Control and Systems Engineering (325 citations), Aerospace Engineering (266 citations), Human-Computer Interaction (43 citations) and Computer Networks and Communications (93 citations). Jonathan Cacace has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include Vincenzo Lippiello, Alberto Finzi, Fabio Ruggiero, Hamid Sadeghian, Àngel Santamaria‐Navarro, M. A. Trujillo, Juan Andrade‐Cetto, Antidio Viguria, Riccardo Caccavale and Mario Selvaggio. Their work appears in journals such as Robotics and Autonomous Systems, IEEE Robotics and Automation Letters, Applied Sciences, Drones and Robotics.
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.