Mara de Joannon
- Fluid Flow and Transfer Processes top 0.05%
- Computational Mechanics top 0.1%
- Materials Chemistry top 5%
- Biomedical Engineering top 2%
- Aerospace Engineering top 2%
- Co-authors
- Antonio CavalierePino SabiaRaffaele RagucciGiancarlo SorrentinoGiovanni Battista AriemmaPio BozzaMaria Virginia MannaA. Tregrossi
- Topics
- Combustion and flame dynamics (75 papers)Advanced Combustion Engine Technologies (72 papers)Thermochemical Biomass Conversion Processes (30 papers)
- Cited by
- Fluid Flow and Transfer ProcessesComputational MechanicsSafety, Risk, Reliability and Quality
- Journals
- SHILAP Revista de lepidopterologíaChemical Engineering JournalChemosphere
- Partner nations
- ItalyNetherlandsFrance
In The Last Decade
Mara de Joannon
89 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Fluid Flow and Transfer Processes 3.4k
- Computational Mechanics 3.4k
- Materials Chemistry 1.3k
- Biomedical Engineering 1.2k
- Aerospace Engineering 671
Countries citing papers authored by Mara de Joannon
This map shows the geographic impact of Mara de Joannon'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 Mara de Joannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mara de Joannon more than expected).
Fields of papers citing papers by Mara de Joannon
This network shows the impact of papers produced by Mara de Joannon. 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 Mara de Joannon. The network helps show where Mara de Joannon may publish in the future.
Co-authorship network of co-authors of Mara de Joannon
This figure shows the co-authorship network connecting the top 25 collaborators of Mara de Joannon. A scholar is included among the top collaborators of Mara de Joannon 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 Mara de Joannon. Mara de Joannon 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 41 | |
| 9 | Review on Ammonia as a Potential Fuel: From Synthesis to Economicsbreakdown → | 721 |
| 10 | 4 | |
| 11 | 14 | |
| 12 | 27 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 56 | |
| 17 | 15 | |
| 18 | 72 | |
| 19 | 10 | |
| 20 | 10 |
About Mara de Joannon
Mara de Joannon is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Fuel Technology, having authored 92 papers that have together received 4.6k indexed citations. Recurring topics across this work include Combustion and flame dynamics (75 papers), Advanced Combustion Engine Technologies (72 papers) and Thermochemical Biomass Conversion Processes (30 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (3.4k citations), Computational Mechanics (3.4k citations) and Safety, Risk, Reliability and Quality (635 citations). Mara de Joannon has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Antonio Cavaliere, Pino Sabia, Raffaele Ragucci, Giancarlo Sorrentino, Giovanni Battista Ariemma, Pio Bozza, Maria Virginia Manna, A. Tregrossi, Marco Lubrano Lavadera and Peter Glarborg. Their work appears in journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Chemosphere.
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.