Adam Larios
- Computational Mechanics top 5%
- Applied Mathematics top 5%
- Mathematical Physics top 5%
- Control and Systems Engineering top 10%
- Mechanics of Materials top 10%
- Co-authors
- Edriss S. TitiEvelyn LunasinFlorin BobaruSiavash JafarzadehJoshua HudsonLeo G. RebholzLongzhen WangKazuo Yamazaki
- Topics
- Navier-Stokes equation solutions (13 papers)Stability and Controllability of Differential Equations (8 papers)Fluid Dynamics and Turbulent Flows (7 papers)
- Journals
- Journal of Computational PhysicsComputer Methods in Applied Mechanics and EngineeringJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Adam Larios
26 papers receiving 486 citations
Peers
Comparison fields: 5 of 42
- Computational Mechanics 259
- Applied Mathematics 201
- Mathematical Physics 160
- Control and Systems Engineering 119
- Mechanics of Materials 98
Countries citing papers authored by Adam Larios
This map shows the geographic impact of Adam Larios'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 Larios with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Larios more than expected).
Fields of papers citing papers by Adam Larios
This network shows the impact of papers produced by Adam Larios. 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 Larios. The network helps show where Adam Larios may publish in the future.
Co-authorship network of co-authors of Adam Larios
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Larios. A scholar is included among the top collaborators of Adam Larios 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 Larios. Adam Larios 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 | 4 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 25 | |
| 11 | 46 | |
| 12 | 17 | |
| 13 | 45 | |
| 14 | 35 | |
| 15 | 15 | |
| 16 | 32 | |
| 17 | 12 | |
| 18 | 108 | |
| 19 | 20 | |
| 20 | 33 |
About Adam Larios
Adam Larios is a scholar working on Applied Mathematics, Computational Mechanics and Mathematical Physics, having authored 28 papers that have together received 510 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (13 papers), Stability and Controllability of Differential Equations (8 papers) and Fluid Dynamics and Turbulent Flows (7 papers). The work is most often cited by research in Applied Mathematics (201 citations), Mathematical Physics (160 citations) and Computational Mechanics (259 citations). Adam Larios has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Edriss S. Titi, Evelyn Lunasin, Florin Bobaru, Siavash Jafarzadeh, Joshua Hudson, Leo G. Rebholz, Longzhen Wang, Kazuo Yamazaki, Beth Wingate and Jared P. Whitehead. Their work appears in journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Journal of Mathematical Analysis and Applications.
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.