Adam J. Wachtor
- Computational Mechanics top 5%
- Mechanical Engineering
- Nuclear and High Energy Physics top 10%
- Automotive Engineering
- Mechanics of Materials
- Co-authors
- Fernando F. GrinsteinAkshay GowardhanB. M. HainesYe ZhouManyalibo J. MatthewsGabe GussJean‐Baptiste ForienNicholas P. Calta
- Topics
- Fluid Dynamics and Turbulent Flows (8 papers)Additive Manufacturing Materials and Processes (7 papers)Computational Fluid Dynamics and Aerodynamics (6 papers)
- Journals
- Scientific ReportsInternational Journal of Heat and Mass TransferJournal of Materials Processing Technology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Adam J. Wachtor
17 papers receiving 287 citations
Peers
Comparison fields: 5 of 33
- Computational Mechanics 153
- Mechanical Engineering 123
- Nuclear and High Energy Physics 89
- Automotive Engineering 48
- Mechanics of Materials 31
Countries citing papers authored by Adam J. Wachtor
This map shows the geographic impact of Adam J. Wachtor'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 Adam J. Wachtor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam J. Wachtor more than expected).
Fields of papers citing papers by Adam J. Wachtor
This network shows the impact of papers produced by Adam J. Wachtor. 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 Adam J. Wachtor. The network helps show where Adam J. Wachtor may publish in the future.
Co-authorship network of co-authors of Adam J. Wachtor
This figure shows the co-authorship network connecting the top 25 collaborators of Adam J. Wachtor. A scholar is included among the top collaborators of Adam J. Wachtor 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 Adam J. Wachtor. Adam J. Wachtor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 66 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 4 | |
| 13 | 58 | |
| 14 | Estimating the Effective Reynolds Number in Implicit Large Eddy Simulation | 1 |
| 15 | 2 | |
| 16 | 27 | |
| 17 | 5 | |
| 18 | 64 | |
| 19 | 2 | |
| 20 | 3 |
About Adam J. Wachtor
Adam J. Wachtor is a scholar working on Computational Mechanics, Nuclear and High Energy Physics and Mechanical Engineering, having authored 20 papers that have together received 295 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (8 papers), Additive Manufacturing Materials and Processes (7 papers) and Computational Fluid Dynamics and Aerodynamics (6 papers). The work is most often cited by research in Computational Mechanics (153 citations), Nuclear and High Energy Physics (89 citations) and Automotive Engineering (48 citations). Adam J. Wachtor has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Fernando F. Grinstein, Akshay Gowardhan, B. M. Haines, Ye Zhou, Manyalibo J. Matthews, Gabe Guss, Jean‐Baptiste Forien, Nicholas P. Calta, Philip J. Depond and Eric Flynn. Their work appears in journals such as Scientific Reports, International Journal of Heat and Mass Transfer and Journal of Materials Processing Technology.
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.