Remo Sala
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Surgery
- Geology top 5%
- Mechanical Engineering
- Co-authors
- Silvio GiancolaAlberto RovettaAndrea CortiCristina CattaneoAngela CantatoreXia WenDanilo De AngelisMarco Grandi
- Topics
- Soft Robotics and Applications (10 papers)Optical measurement and interference techniques (7 papers)Surgical Simulation and Training (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe International Journal of Robotics ResearchIEEE Transactions on Instrumentation and Measurement
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Remo Sala
43 papers receiving 538 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 217
- Biomedical Engineering 145
- Surgery 82
- Geology 75
- Mechanical Engineering 73
Countries citing papers authored by Remo Sala
This map shows the geographic impact of Remo Sala'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 Remo Sala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Remo Sala more than expected).
Fields of papers citing papers by Remo Sala
This network shows the impact of papers produced by Remo Sala. 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 Remo Sala. The network helps show where Remo Sala may publish in the future.
Co-authorship network of co-authors of Remo Sala
This figure shows the co-authorship network connecting the top 25 collaborators of Remo Sala. A scholar is included among the top collaborators of Remo Sala 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 Remo Sala. Remo Sala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 18 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 18 | |
| 12 | 34 | |
| 13 | 5 | |
| 14 | 36 | |
| 15 | Image Based Measurement of a Stadium Excitation Due to Jumping People | 6 |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 11 | |
| 20 | 21 |
About Remo Sala
Remo Sala is a scholar working on Geology, Computer Vision and Pattern Recognition and Instrumentation, having authored 45 papers that have together received 568 indexed citations. Recurring topics across this work include Soft Robotics and Applications (10 papers), Optical measurement and interference techniques (7 papers) and Surgical Simulation and Training (6 papers). The work is most often cited by research in Geology (75 citations), Instrumentation (43 citations) and Computer Vision and Pattern Recognition (217 citations). Remo Sala has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Silvio Giancola, Alberto Rovetta, Andrea Corti, Cristina Cattaneo, Angela Cantatore, Xia Wen, Danilo De Angelis, Marco Grandi, Alfredo Cigada and Pasquale Poppa. Their work appears in journals such as SHILAP Revista de lepidopterología, The International Journal of Robotics Research and IEEE Transactions on Instrumentation and Measurement.
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.