G. Canepa

24 papers receiving 341 citations

Peers

G. Canepa
Comparison fields: 5 of 64
  • Cognitive Neuroscience 119
  • Biomedical Engineering 209
  • Oceanography 50
  • Control and Systems Engineering 87
  • Ocean Engineering 29
Replace Lei Yu with:
Lei Yu China
Xiaobo Xie United States
Shigeaki Aoki Japan
F. Fidecaro Italy
Saïd Assous United Kingdom
Xian Zhang China
E. G. Broadbent United Kingdom
Philippe-Aubert Gauthier Canada
Laura A. Brooks Australia
P. Basili Italy
G. Canepa relative to Lei Yu China Lei Yu's profile →
Citations per field
00.5×7.3×
Lei Yu · 1×
Citations per year

Countries citing papers authored by G. Canepa

Since Specialization
Citations

This map shows the geographic impact of G. Canepa'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 G. Canepa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Canepa more than expected).

Fields of papers citing papers by G. Canepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Canepa. 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 G. Canepa. The network helps show where G. Canepa may publish in the future.

Co-authors

The 18 scholars most cited alongside G. Canepa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with G. Canepa Line = papers co-authored together G. Canepa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002128
2 199861
3 199522
4 199322
5 200221
6 199919
7 200318
8 200214
9 202112
10 200610
11 20037
12 20216
13 20224
14 20054
15 20023
16 20023
17 20022
18 20212
19 20052
20 20231

About G. Canepa

G. Canepa is a scholar working on Control and Systems Engineering, Biomedical Engineering, Oceanography, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 25 papers that have together received 365 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Black Holes and Theoretical Physics (5 papers), Underwater Acoustics Research (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Cosmology and Gravitation Theories (4 papers), Tactile and Sensory Interactions (4 papers), Adhesion, Friction, and Surface Interactions (3 papers) and Advanced Differential Geometry Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (119 citations), Biomedical Engineering (209 citations), Oceanography (50 citations), Control and Systems Engineering (87 citations) and Ocean Engineering (29 citations). G. Canepa has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Danilo De Rossi, Antonio Bicchi, Andrea Caiti, Nicholas G. Pace, Thomas Parisini, Giovanni Magenes, Alberto S. Cattaneo, John M. Hollerbach, E. Pouliquen and Danilo De Rossi. Their work appears in journals such as Communications in Mathematical Physics, Advances in Theoretical and Mathematical Physics, Chinese Journal of Natural Medicines, The Journal of the Acoustical Society of America and Annales Henri Poincaré.

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.

Explore authors with similar magnitude of impact