Lorenzo D’Arsié
- Materials Chemistry top 10%
- Graphene research and applications 19
- Carbon Nanotubes in Composites 11
- Diamond and Carbon-based Materials Research 5
- Thermal properties of materials 3
- Chemical and Physical Properties of Materials 2
- Bioengineering top 10%
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- Advancements in Battery Materials 3
- Gas Sensing Nanomaterials and Sensors 2
- Advanced Memory and Neural Computing 2
- Co-authors
- John RobertsonSantiago EsconjaureguiHisashi SugimeRobert S. WeatherupCinzia CepekXingyi WuGuofang ZhongSabina Caneva
- Journals
- Journal of the American Chemical Society (1 paper)ACS Nano (1 paper)Applied Physics Letters (6 papers)
- Partner nations
- United KingdomItalySouth Sudan
In The Last Decade
Lorenzo D’Arsié
23 papers receiving 690 citations
Peers
Comparison fields: 5 of 50
- Materials Chemistry 568
- Bioengineering 42
- Electrical and Electronic Engineering 327
- Electronic, Optical and Magnetic Materials 88
- Biomedical Engineering 194
Countries citing papers authored by Lorenzo D’Arsié
This map shows the geographic impact of Lorenzo D’Arsié'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 D’Arsié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo D’Arsié more than expected).
Fields of papers citing papers by Lorenzo D’Arsié
This network shows the impact of papers produced by Lorenzo D’Arsié. 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 D’Arsié. The network helps show where Lorenzo D’Arsié may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lorenzo D’Arsié, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 24 | |
| 2 | 2018 | 43 | |
| 3 | 2017 | 17 | |
| 4 | 2017 | 14 | |
| 5 | 2017 | 5 | |
| 6 | 2017 | 42 | |
| 7 | 2016 | 47 | |
| 8 | 2016 | 67 | |
| 9 | 2016 | 39 | |
| 10 | 2015 | 7 | |
| 11 | 2015 | 135 | |
| 12 | 2015 | 14 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 49 | |
| 15 | 2014 | 8 | |
| 16 | 2014 | 14 | |
| 17 | 2014 | 23 | |
| 18 | 2013 | 6 | |
| 19 | 2013 | 50 | |
| 20 | 2013 | 2 |
About Lorenzo D’Arsié
Lorenzo D’Arsié is a scholar working on Materials Chemistry, Bioengineering and Electrical and Electronic Engineering, having authored 23 papers that have together received 703 indexed citations. Recurring topics across this work include Graphene research and applications (19 papers), Carbon Nanotubes in Composites (11 papers), Diamond and Carbon-based Materials Research (5 papers), Thermal properties of materials (3 papers), Advancements in Battery Materials (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Chemical and Physical Properties of Materials (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Materials Chemistry (568 citations), Bioengineering (42 citations) and Electrical and Electronic Engineering (327 citations). Lorenzo D’Arsié has collaborated with scholars based in United Kingdom, Italy and South Sudan. Frequent co-authors include John Robertson, Santiago Esconjauregui, Hisashi Sugime, Robert S. Weatherup, Cinzia Cepek, Xingyi Wu, Guofang Zhong, Sabina Caneva, Sunil Bhardwaj and Junwei Yang. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano and Applied Physics Letters.
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.