Mario Gianni
Impact in
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- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- UAV Applications and Optimization
Papers in
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- Robotic Path Planning Algorithms 12
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- Robotics and Sensor-Based Localization 13
- Co-authors
- Fiora Pirri (12 shared papers)Luigi Freda (5 shared papers)Petter Ögren (2 shared papers)Sanjay Sharma (4 shared papers)Asiya Khan (4 shared papers)Ivana Kruijff‐Korbayová (2 shared papers)Micaela Liberti (6 shared papers)Renaud Dubé (3 shared papers)
- Journals
- Drones (2 papers)Energies (1 paper)Journal of Field Robotics (1 paper)IEEE Access (1 paper)International Journal of Social Robotics (1 paper)
- Partner nations
- ItalyUnited KingdomSwitzerland
In The Last Decade
Mario Gianni
35 papers receiving 390 citations
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 139
- Aerospace Engineering 134
- Control and Systems Engineering 86
- Computer Networks and Communications 78
- Geology 14
Countries citing papers authored by Mario Gianni
This map shows the geographic impact of Mario Gianni'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 Mario Gianni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Gianni more than expected).
Fields of papers citing papers by Mario Gianni
This network shows the impact of papers produced by Mario Gianni. 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 Mario Gianni. The network helps show where Mario Gianni may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Gianni, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 48 | |
| 2 | 2016 | 35 | |
| 3 | 2022 | 35 | |
| 4 | 2019 | 28 | |
| 5 | 2014 | 22 | |
| 6 | 2022 | 21 | |
| 7 | 2015 | 20 | |
| 8 | 2015 | 20 | |
| 9 | 2017 | 19 | |
| 10 | 2023 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2017 | 13 | |
| 13 | Channel noise may tune electromagnetic fields detectability in neurons: Stochastic resonance paradigm in a HH-like model | 2005 | 12 |
| 14 | 2013 | 11 | |
| 15 | 2016 | 11 | |
| 16 | 2006 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2005 | 7 | |
| 19 | 2019 | 7 | |
| 20 | 2016 | 6 |
About Mario Gianni
Mario Gianni is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence and Cognitive Neuroscience, having authored 36 papers that have together received 410 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (12 papers), stochastic dynamics and bifurcation (5 papers), Robotics and Automated Systems (5 papers), Robot Manipulation and Learning (4 papers), Neural dynamics and brain function (4 papers), Robotic Locomotion and Control (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (139 citations), Aerospace Engineering (134 citations), Control and Systems Engineering (86 citations), Computer Networks and Communications (78 citations) and Geology (14 citations). Mario Gianni has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Fiora Pirri, Luigi Freda, Petter Ögren, Sanjay Sharma, Asiya Khan, Ivana Kruijff‐Korbayová, Micaela Liberti, Renaud Dubé, G. D’Inzeo and Abel Gawel. Their work appears in journals such as Drones, Energies, Journal of Field Robotics, IEEE Access and International Journal of Social 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.