Terutoshi Tomoda
- Fluid Flow and Transfer Processes top 2%
- Computational Mechanics top 5%
- Automotive Engineering top 10%
- Biomedical Engineering
- Materials Chemistry
- Co-authors
- Akinori SaitoTakao InamuraShizuo SasakiHideki YANAOKAY. YamamotoMakoto KoikeMagnus SjöbergDavid Vuilleumier
- Topics
- Advanced Combustion Engine Technologies (19 papers)Vehicle emissions and performance (9 papers)Biodiesel Production and Applications (8 papers)
- Journals
- AIAA JournalSAE technical papers on CD-ROM/SAE technical paper seriesSAE International Journal of Engines
- Partner nations
- JapanSwitzerlandUnited States
In The Last Decade
Terutoshi Tomoda
22 papers receiving 300 citations
Peers
Comparison fields: 5 of 29
- Fluid Flow and Transfer Processes 256
- Computational Mechanics 219
- Automotive Engineering 102
- Biomedical Engineering 75
- Materials Chemistry 57
Countries citing papers authored by Terutoshi Tomoda
This map shows the geographic impact of Terutoshi Tomoda'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 Terutoshi Tomoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terutoshi Tomoda more than expected).
Fields of papers citing papers by Terutoshi Tomoda
This network shows the impact of papers produced by Terutoshi Tomoda. 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 Terutoshi Tomoda. The network helps show where Terutoshi Tomoda may publish in the future.
Co-authorship network of co-authors of Terutoshi Tomoda
This figure shows the co-authorship network connecting the top 25 collaborators of Terutoshi Tomoda. A scholar is included among the top collaborators of Terutoshi Tomoda 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 Terutoshi Tomoda. Terutoshi Tomoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 23 | |
| 3 | 29 | |
| 4 | Diesel Combustion Prediction in Transient Operation Using a New Cycle-simulation (Fourth Report) | 2 |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 6 | |
| 9 | 0 | |
| 10 | 34 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 39 | |
| 18 | 71 | |
| 19 | Development of automotive piston rings with high resistance to wear and scuffing | 3 |
| 20 | 2 |
About Terutoshi Tomoda
Terutoshi Tomoda is a scholar working on Fluid Flow and Transfer Processes, Automotive Engineering and Computational Mechanics, having authored 25 papers that have together received 332 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (19 papers), Vehicle emissions and performance (9 papers) and Biodiesel Production and Applications (8 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (256 citations), Computational Mechanics (219 citations) and Automotive Engineering (102 citations). Terutoshi Tomoda has collaborated with scholars based in Japan, Switzerland and United States. Frequent co-authors include Akinori Saito, Takao Inamura, Shizuo Sasaki, Hideki YANAOKA, Y. Yamamoto, Makoto Koike, Magnus Sjöberg, David Vuilleumier, Namho Kim and Koichi Nakata. Their work appears in journals such as AIAA Journal, SAE technical papers on CD-ROM/SAE technical paper series and SAE International Journal of Engines.
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.