D. Ruspini

About

D. Ruspini is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, D. Ruspini has authored 5 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in D. Ruspini’s work include Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (3 papers) and Teleoperation and Haptic Systems (3 papers). D. Ruspini is often cited by papers focused on Robot Manipulation and Learning (5 papers), Robotic Path Planning Algorithms (3 papers) and Teleoperation and Haptic Systems (3 papers). D. Ruspini collaborates with scholars based in United States. D. Ruspini's co-authors include Oussama Khatib, Mats Holmberg, Kyung Won Chang, A. Yáñez, Kazuhito Yokoi, Oliver Brock, Luis Sentis and François Conti and has published in prestigious journals such as Communications of the ACM, The International Journal of Robotics Research and Journal of Robotic Systems.

In The Last Decade

Co-authorship network of co-authors of D. Ruspini i

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Fields of papers citing papers by D. Ruspini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by D. Ruspini

Since Specialization

Citations

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