Gabriele Di Blasio
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies 53
- Automotive Engineering top 1%
- Vehicle emissions and performance 34
- Electric and Hybrid Vehicle Technologies 4
- Biomedical Engineering top 5%
- Biodiesel Production and Applications 30
- Computational Mechanics top 2%
- Combustion and flame dynamics 13
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- Catalytic Processes in Materials Science 22
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- Rocket and propulsion systems research 6
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- Air Quality and Health Impacts 3
- Co-authors
- Carlo BeatriceGiacomo BelgiornoMartin TunérPer TunestålRoberto IannielloAlberto VassalloValentina GargiuloFrancesco Concetto Pesce
- Journals
- SHILAP Revista de lepidopterología (2 papers)Applied Energy (5 papers)Fuel (6 papers)
In The Last Decade
Gabriele Di Blasio
70 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Fluid Flow and Transfer Processes 1.3k
- Automotive Engineering 780
- Biomedical Engineering 954
- Computational Mechanics 429
- Energy Engineering and Power Technology 32
Countries citing papers authored by Gabriele Di Blasio
This map shows the geographic impact of Gabriele Di Blasio'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 Gabriele Di Blasio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Di Blasio more than expected).
Fields of papers citing papers by Gabriele Di Blasio
This network shows the impact of papers produced by Gabriele Di Blasio. 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 Gabriele Di Blasio. The network helps show where Gabriele Di Blasio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriele Di Blasio, 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 | 2024 | 7 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 24 | |
| 5 | 2023 | 13 | |
| 6 | 2021 | 41 | |
| 7 | 2020 | 46 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 13 | |
| 10 | 2019 | 31 | |
| 11 | 2019 | 37 | |
| 12 | 2018 | 55 | |
| 13 | 2018 | 74 | |
| 14 | 2018 | 91 | |
| 15 | 2017 | 35 | |
| 16 | 2016 | 16 | |
| 17 | 2015 | 9 | |
| 18 | 2014 | 47 | |
| 19 | 2011 | 19 | |
| 20 | 2011 | 2 |
About Gabriele Di Blasio
Gabriele Di Blasio is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (53 papers), Vehicle emissions and performance (34 papers), Biodiesel Production and Applications (30 papers), Catalytic Processes in Materials Science (22 papers), Combustion and flame dynamics (13 papers), Rocket and propulsion systems research (6 papers), Electric and Hybrid Vehicle Technologies (4 papers) and Air Quality and Health Impacts (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (1.3k citations), Automotive Engineering (780 citations) and Biomedical Engineering (954 citations). Gabriele Di Blasio has collaborated with scholars based in Italy, Sweden and Greece. Frequent co-authors include Carlo Beatrice, Giacomo Belgiorno, Martin Tunér, Per Tunestål, Roberto Ianniello, Alberto Vassallo, Valentina Gargiulo, Francesco Concetto Pesce, Michela Alfè and Sam Shamun. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Fuel.
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.