Roberto Di Leonardo
- Condensed Matter Physics top 0.1%
- Biomedical Engineering top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Materials Chemistry top 2%
- Atomic and Molecular Physics, and Optics top 1%
- Co-authors
- Giancarlo RuoccoLuca AngelaniGiorgio VolpeC. ReichhardtHartmut LöwenGiovanni VolpeClemens BechingerClaudio Maggi
- Topics
- Micro and Nano Robotics (48 papers)Microfluidic and Bio-sensing Technologies (47 papers)Orbital Angular Momentum in Optics (40 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Roberto Di Leonardo
114 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Condensed Matter Physics 4.9k
- Biomedical Engineering 3.8k
- Statistical and Nonlinear Physics 2.1k
- Materials Chemistry 1.8k
- Atomic and Molecular Physics, and Optics 1.7k
Countries citing papers authored by Roberto Di Leonardo
This map shows the geographic impact of Roberto Di Leonardo'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 Roberto Di Leonardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Di Leonardo more than expected).
Fields of papers citing papers by Roberto Di Leonardo
This network shows the impact of papers produced by Roberto Di Leonardo. 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 Roberto Di Leonardo. The network helps show where Roberto Di Leonardo may publish in the future.
Co-authorship network of co-authors of Roberto Di Leonardo
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Di Leonardo. A scholar is included among the top collaborators of Roberto Di Leonardo 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 Roberto Di Leonardo. Roberto Di Leonardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 31 | |
| 5 | 12 | |
| 6 | 26 | |
| 7 | 48 | |
| 8 | Stationary Probability in The Multidimensional Unified Colored Noise Approximation and its Application to Active Matter | 1 |
| 9 | 153 | |
| 10 | 234 | |
| 11 | 17 | |
| 12 | 146 | |
| 13 | 61 | |
| 14 | 147 | |
| 15 | 14 | |
| 16 | 31 | |
| 17 | 50 | |
| 18 | 34 | |
| 19 | 38 | |
| 20 | 89 |
About Roberto Di Leonardo
Roberto Di Leonardo is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 118 papers that have together received 7.9k indexed citations. Recurring topics across this work include Micro and Nano Robotics (48 papers), Microfluidic and Bio-sensing Technologies (47 papers) and Orbital Angular Momentum in Optics (40 papers). The work is most often cited by research in Condensed Matter Physics (4.9k citations), Acoustics and Ultrasonics (296 citations) and Statistical and Nonlinear Physics (2.1k citations). Roberto Di Leonardo has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Giancarlo Ruocco, Luca Angelani, Giorgio Volpe, C. Reichhardt, Hartmut Löwen, Giovanni Volpe, Clemens Bechinger, Claudio Maggi, S. Bianchi and Miles J. Padgett. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.