María Pozzi
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Mechanical Engineering
- Cognitive Neuroscience
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Domenico PrattichizzoMonica MalvezziGionata SalviettiAndrea Maria ZanchettinPaolo RoccoAndrea CasalinoZubair IqbalIrfan Hussain
- Topics
- Robot Manipulation and Learning (25 papers)Soft Robotics and Applications (20 papers)Modular Robots and Swarm Intelligence (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPharmaceutical Research
In The Last Decade
María Pozzi
33 papers receiving 437 citations
Peers
Comparison fields: 5 of 60
- Control and Systems Engineering 253
- Biomedical Engineering 252
- Mechanical Engineering 118
- Cognitive Neuroscience 72
- Industrial and Manufacturing Engineering 46
Countries citing papers authored by María Pozzi
This map shows the geographic impact of María Pozzi'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 María Pozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Pozzi more than expected).
Fields of papers citing papers by María Pozzi
This network shows the impact of papers produced by María Pozzi. 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 María Pozzi. The network helps show where María Pozzi may publish in the future.
Co-authorship network of co-authors of María Pozzi
This figure shows the co-authorship network connecting the top 25 collaborators of María Pozzi. A scholar is included among the top collaborators of María Pozzi 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 María Pozzi. María Pozzi 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 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 57 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 7 | |
| 13 | 15 | |
| 14 | 21 | |
| 15 | 61 | |
| 16 | 9 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | Using Wikipedia to Validate Term Candidates for the Mexican Basic Scientific Vocabulary | 2 |
| 20 | 1 |
About María Pozzi
María Pozzi is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Biomedical Engineering, having authored 38 papers that have together received 449 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (25 papers), Soft Robotics and Applications (20 papers) and Modular Robots and Swarm Intelligence (8 papers). The work is most often cited by research in Control and Systems Engineering (253 citations), Human-Computer Interaction (35 citations) and Biomedical Engineering (252 citations). María Pozzi has collaborated with scholars based in Italy, Mexico and Germany. Frequent co-authors include Domenico Prattichizzo, Monica Malvezzi, Gionata Salvietti, Andrea Maria Zanchettin, Paolo Rocco, Andrea Casalino, Zubair Iqbal, Irfan Hussain, Tommaso Lisini Baldi and Símone Rossi. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Pharmaceutical Research.
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.