Marco Gabiccini
- Control and Systems Engineering top 1%
- Biomedical Engineering top 5%
- Mechanical Engineering top 2%
- Cognitive Neuroscience top 5%
- Mechanics of Materials top 10%
- Co-authors
- Antonio BicchiAlessio ArtoniMassimo GuiggianiDomenico PrattichizzoMarco SantelloMonica MalvezziMatteo BianchiFrancesca Di Puccio
- Topics
- Robot Manipulation and Learning (26 papers)Gear and Bearing Dynamics Analysis (25 papers)Tribology and Lubrication Engineering (14 papers)
- Journals
- Philosophical Transactions of the Royal Society B Biological SciencesComputer Methods in Applied Mechanics and EngineeringSensors
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Marco Gabiccini
74 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 89
- Control and Systems Engineering 995
- Biomedical Engineering 885
- Mechanical Engineering 874
- Cognitive Neuroscience 448
- Mechanics of Materials 125
Countries citing papers authored by Marco Gabiccini
This map shows the geographic impact of Marco Gabiccini'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 Marco Gabiccini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Gabiccini more than expected).
Fields of papers citing papers by Marco Gabiccini
This network shows the impact of papers produced by Marco Gabiccini. 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 Marco Gabiccini. The network helps show where Marco Gabiccini may publish in the future.
Co-authorship network of co-authors of Marco Gabiccini
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Gabiccini. A scholar is included among the top collaborators of Marco Gabiccini 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 Marco Gabiccini. Marco Gabiccini 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 | 2 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 38 | |
| 8 | 18 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | Data-driven human grasp movement analysis | 3 |
| 12 | 15 | |
| 13 | 12 | |
| 14 | 98 | |
| 15 | 9 | |
| 16 | 22 | |
| 17 | 41 | |
| 18 | The Hand Embodied | 1 |
| 19 | 78 | |
| 20 | 103 |
About Marco Gabiccini
Marco Gabiccini is a scholar working on Control and Systems Engineering, Mechanical Engineering and Cognitive Neuroscience, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (26 papers), Gear and Bearing Dynamics Analysis (25 papers) and Tribology and Lubrication Engineering (14 papers). The work is most often cited by research in Control and Systems Engineering (995 citations), Mechanical Engineering (874 citations) and Cognitive Neuroscience (448 citations). Marco Gabiccini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Antonio Bicchi, Alessio Artoni, Massimo Guiggiani, Domenico Prattichizzo, Marco Santello, Monica Malvezzi, Matteo Bianchi, Francesca Di Puccio, Edoardo Farnioli and Gabriele Pannocchia. Their work appears in journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Computer Methods in Applied Mechanics and Engineering and Sensors.
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.