Remo Sala

35 papers and 447 indexed citations i.

About

Remo Sala is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Remo Sala has authored 35 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Biomedical Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Remo Sala’s work include Soft Robotics and Applications (8 papers), Optical measurement and interference techniques (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Remo Sala is often cited by papers focused on Soft Robotics and Applications (8 papers), Optical measurement and interference techniques (7 papers) and 3D Surveying and Cultural Heritage (6 papers). Remo Sala collaborates with scholars based in Italy, United States and China. Remo Sala's co-authors include Silvio Giancola, Alberto Rovetta, Andrea Corti, Cristina Cattaneo, Danilo De Angelis, Marco Grandi, Pasquale Poppa, Daniele Gibelli, Alfredo Cigada and Antal K. Bejczy and has published in prestigious journals such as The International Journal of Robotics Research, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Co-authorship network of co-authors of Remo Sala i

Fields of papers citing papers by Remo Sala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Remo Sala

Since Specialization
Citations

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).

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.

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