Rafael Basso
Impact in
- Automotive Engineering top 2%
- Transportation and Mobility Innovations
- Vehicle emissions and performance
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
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- Vehicle Routing Optimization Methods
Papers in
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- Transportation and Mobility Innovations 5
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- Vehicle Routing Optimization Methods 4
- Co-authors
- Balaźs Kulcsár (4 shared papers)Peter Lindroth (2 shared papers)Bo S. Egardt (2 shared papers)Iván Sánchez-Díaz (2 shared papers)Xiaobo Qu (1 shared paper)Riccardo Berta (1 shared paper)Francesco Bellotti (1 shared paper)Angelos Amditis (1 shared paper)
In The Last Decade
Rafael Basso
8 papers receiving 553 citations
Peers
Comparison fields: 5 of 50
- Automotive Engineering 369
- Industrial and Manufacturing Engineering 262
- Building and Construction 106
- Transportation 50
- Electrical and Electronic Engineering 284
Countries citing papers authored by Rafael Basso
This map shows the geographic impact of Rafael Basso'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 Rafael Basso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Basso more than expected).
Fields of papers citing papers by Rafael Basso
This network shows the impact of papers produced by Rafael Basso. 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 Rafael Basso. The network helps show where Rafael Basso may publish in the future.
Co-authors
The 14 scholars most cited alongside Rafael Basso, 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 | 2019 | 217 | |
| 2 | 2021 | 156 | |
| 3 | 2021 | 132 | |
| 4 | 2020 | 21 | |
| 5 | 2018 | 19 | |
| 6 | 2016 | 14 | |
| 7 | 2018 | 7 | |
| 8 | Matching domain and top-level ontologies via OntoWordNet | 2017 | 2 |
About Rafael Basso
Rafael Basso is a scholar working on Automotive Engineering, Industrial and Manufacturing Engineering, Building and Construction, Computer Vision and Pattern Recognition and Transportation, having authored 8 papers that have together received 568 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (5 papers), Vehicle Routing Optimization Methods (4 papers), Electric Vehicles and Infrastructure (3 papers), Natural Language Processing Techniques (2 papers), Semantic Web and Ontologies (2 papers), Urban and Freight Transport Logistics (1 paper), Vehicular Ad Hoc Networks (VANETs) (1 paper) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Automotive Engineering (369 citations), Industrial and Manufacturing Engineering (262 citations), Building and Construction (106 citations), Transportation (50 citations) and Electrical and Electronic Engineering (284 citations). Rafael Basso has collaborated with scholars based in Sweden, France and Brazil. Frequent co-authors include Balaźs Kulcsár, Peter Lindroth, Bo S. Egardt, Iván Sánchez-Díaz, Xiaobo Qu, Riccardo Berta, Francesco Bellotti, Angelos Amditis, Daniela Schmidt and Alessandro De Gloria. Their work appears in journals such as Sustainability, Transportation Research Part E Logistics and Transportation Review, IEEE Transactions on Industrial Informatics, Transportation Research Part D Transport and Environment and Transportation Research Part B Methodological.
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.