Mario Urso
Impact in
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
- Pollution top 5%
- Microplastics and Plastic Pollution
Papers in
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- Micro and Nano Robotics 21
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- Modular Robots and Swarm Intelligence 13
- Co-authors
- Martin Pumera (21 shared papers)Martina Ussia (12 shared papers)Peng Xia (8 shared papers)Filip Novotný (1 shared paper)F. Priolo (9 shared papers)Çağatay M. Oral (4 shared papers)Kristyna Dolezelikova (2 shared papers)José Muñoz (2 shared papers)
In The Last Decade
Mario Urso
45 papers receiving 1.6k citations
Mario Urso's Hit Papers
Peers
Comparison fields: 5 of 98
- Condensed Matter Physics 781
- Pollution 262
- Biomedical Engineering 652
- Industrial and Manufacturing Engineering 124
- Renewable Energy, Sustainability and the Environment 205
Countries citing papers authored by Mario Urso
This map shows the geographic impact of Mario Urso'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 Mario Urso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Urso more than expected).
Fields of papers citing papers by Mario Urso
This network shows the impact of papers produced by Mario Urso. 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 Mario Urso. The network helps show where Mario Urso may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Urso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Trapping and detecting nanoplastics by MXene-derived oxide microrobots Hit paper breakdown → | 2022 | 198 |
| 2 | Smart micro- and nanorobots for water purification Hit paper breakdown → | 2023 | 151 |
| 3 | 2021 | 95 | |
| 4 | 2021 | 88 | |
| 5 | 2022 | 85 | |
| 6 | 2022 | 66 | |
| 7 | 2022 | 60 | |
| 8 | 2023 | 55 | |
| 9 | 2023 | 54 | |
| 10 | 2019 | 53 | |
| 11 | 2024 | 50 | |
| 12 | 2022 | 45 | |
| 13 | 2022 | 43 | |
| 14 | 2020 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 1999 | 38 | |
| 17 | 2022 | 37 | |
| 18 | 2021 | 35 | |
| 19 | 2017 | 32 | |
| 20 | 2023 | 30 |
About Mario Urso
Mario Urso is a scholar working on Condensed Matter Physics, Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Micro and Nano Robotics (21 papers), Modular Robots and Swarm Intelligence (13 papers), Molecular Communication and Nanonetworks (7 papers), Electrocatalysts for Energy Conversion (7 papers), Pickering emulsions and particle stabilization (6 papers), Advanced battery technologies research (5 papers), Corneal surgery and disorders (5 papers) and Corneal Surgery and Treatments (4 papers). The work is most often cited by research in Condensed Matter Physics (781 citations), Pollution (262 citations), Biomedical Engineering (652 citations), Industrial and Manufacturing Engineering (124 citations) and Renewable Energy, Sustainability and the Environment (205 citations). Mario Urso has collaborated with scholars based in Italy, Czechia and Taiwan. Frequent co-authors include Martin Pumera, Martina Ussia, Peng Xia, Filip Novotný, F. Priolo, Çağatay M. Oral, Kristyna Dolezelikova, José Muñoz, Hana Michalkova and Vojtěch Adam. Their work appears in journals such as Advanced Functional Materials, Nanomaterials, ACS Applied Materials & Interfaces, Small Methods and Materials Advances.
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.