Giacomo Palmieri
- Biomedical Engineering top 5%
- Control and Systems Engineering top 2%
- Mechanical Engineering top 10%
- Aerospace Engineering top 5%
- Ocean Engineering top 5%
- Co-authors
- Matteo-Claudio PalpacelliMassimo CallegariMarco SassoD. AmodioLuca CarbonariGianluca ChiappiniDaniele CostaDavid Scaradozzi
- Topics
- Robotic Mechanisms and Dynamics (29 papers)Robot Manipulation and Learning (20 papers)Modular Robots and Swarm Intelligence (17 papers)
In The Last Decade
Giacomo Palmieri
87 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 129
- Biomedical Engineering 540
- Control and Systems Engineering 466
- Mechanical Engineering 331
- Aerospace Engineering 251
- Ocean Engineering 191
Countries citing papers authored by Giacomo Palmieri
This map shows the geographic impact of Giacomo Palmieri'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 Giacomo Palmieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Palmieri more than expected).
Fields of papers citing papers by Giacomo Palmieri
This network shows the impact of papers produced by Giacomo Palmieri. 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 Giacomo Palmieri. The network helps show where Giacomo Palmieri may publish in the future.
Co-authorship network of co-authors of Giacomo Palmieri
This figure shows the co-authorship network connecting the top 25 collaborators of Giacomo Palmieri. A scholar is included among the top collaborators of Giacomo Palmieri 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 Giacomo Palmieri. Giacomo Palmieri 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 | 2 | |
| 3 | 15 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 26 | |
| 16 | A comparison between Position Based and Image Based Visual Servoing on a 3 DOFs translating robot | 1 |
| 17 | Sheet metals testing with combined fringe projection and digital image correlation | 1 |
| 18 | 5 | |
| 19 | 4 | |
| 20 | 7 |
About Giacomo Palmieri
Giacomo Palmieri is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (29 papers), Robot Manipulation and Learning (20 papers) and Modular Robots and Swarm Intelligence (17 papers). The work is most often cited by research in Control and Systems Engineering (466 citations), Industrial and Manufacturing Engineering (130 citations) and Ocean Engineering (191 citations). Giacomo Palmieri has collaborated with scholars based in Italy, France and Austria. Frequent co-authors include Matteo-Claudio Palpacelli, Massimo Callegari, Marco Sasso, D. Amodio, Luca Carbonari, Gianluca Chiappini, Daniele Costa, David Scaradozzi, Franco Conti and Michele Germani. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología 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.