Hamal Marino
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Condensed Matter Physics top 10%
- Control and Systems Engineering top 10%
- Social Psychology
- Co-authors
- Christos BergelesBradley J. NelsonMarco GabicciniMatteo BianchiDagmar SternadNeville HoganSteven K. CharlesAntonio Bicchi
- Topics
- Motor Control and Adaptation (5 papers)Robot Manipulation and Learning (4 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Cognitive NeuroscienceCondensed Matter PhysicsPhysical Therapy, Sports Therapy and Rehabilitation
- Journals
- SHILAP Revista de lepidopterologíaJournal of NeurophysiologyeLife
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Hamal Marino
13 papers receiving 344 citations
Peers
Comparison fields: 5 of 61
- Biomedical Engineering 199
- Cognitive Neuroscience 166
- Condensed Matter Physics 77
- Control and Systems Engineering 71
- Social Psychology 57
Countries citing papers authored by Hamal Marino
This map shows the geographic impact of Hamal Marino'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 Hamal Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamal Marino more than expected).
Fields of papers citing papers by Hamal Marino
This network shows the impact of papers produced by Hamal Marino. 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 Hamal Marino. The network helps show where Hamal Marino may publish in the future.
Co-authorship network of co-authors of Hamal Marino
This figure shows the co-authorship network connecting the top 25 collaborators of Hamal Marino. A scholar is included among the top collaborators of Hamal Marino 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 Hamal Marino. Hamal Marino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 45 | |
| 3 | Data-driven human grasp movement analysis | 3 |
| 4 | 98 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 35 | |
| 9 | 1 | |
| 10 | 36 | |
| 11 | 84 | |
| 12 | 5 | |
| 13 | 4 |
About Hamal Marino
Hamal Marino is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 13 papers that have together received 347 indexed citations. Recurring topics across this work include Motor Control and Adaptation (5 papers), Robot Manipulation and Learning (4 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Cognitive Neuroscience (166 citations), Condensed Matter Physics (77 citations) and Physical Therapy, Sports Therapy and Rehabilitation (20 citations). Hamal Marino has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Christos Bergeles, Bradley J. Nelson, Marco Gabiccini, Matteo Bianchi, Dagmar Sternad, Neville Hogan, Steven K. Charles, Antonio Bicchi, Andrea Guidi and Marco Santello. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and eLife.
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.