Lorenzo Scalera

About

Lorenzo Scalera is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Lorenzo Scalera has authored 48 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 17 papers in Computer Vision and Pattern Recognition and 13 papers in Mechanical Engineering. Recurrent topics in Lorenzo Scalera’s work include Robotic Mechanisms and Dynamics (13 papers), Robotic Path Planning Algorithms (12 papers) and Robot Manipulation and Learning (9 papers). Lorenzo Scalera is often cited by papers focused on Robotic Mechanisms and Dynamics (13 papers), Robotic Path Planning Algorithms (12 papers) and Robot Manipulation and Learning (9 papers). Lorenzo Scalera collaborates with scholars based in Italy, Russia and United States. Lorenzo Scalera's co-authors include Alessandro Gasparetto, Stefano Seriani, Paolo Gallina, Renato Vidoni, Giovanni Carabin, Paolo Boscariol, Eleonora Maset, Fabrizio Mazzetto, Damiano Zanotto and Andrea Giusti and has published in prestigious journals such as IEEE Access, IEEE Transactions on Robotics and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Co-authorship network of co-authors of Lorenzo Scalera i

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Fields of papers citing papers by Lorenzo Scalera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lorenzo Scalera

Since Specialization

Citations

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