Levi D. McClenny
About
In The Last Decade
Levi D. McClenny
7 papers receiving 326 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Statistical and Nonlinear Physics 195
- Computational Mechanics 68
- Aerospace Engineering 60
- Artificial Intelligence 58
- Mechanical Engineering 46
Countries citing papers authored by Levi D. McClenny
This map shows the geographic impact of Levi D. McClenny'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 Levi D. McClenny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levi D. McClenny more than expected).
Fields of papers citing papers by Levi D. McClenny
This network shows the impact of papers produced by Levi D. McClenny. 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 Levi D. McClenny. The network helps show where Levi D. McClenny may publish in the future.
Co-authorship network of co-authors of Levi D. McClenny
This figure shows the co-authorship network connecting the top 25 collaborators of Levi D. McClenny. A scholar is included among the top collaborators of Levi D. McClenny 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 Levi D. McClenny. Levi D. McClenny is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 27 | |
| 4 | Self-adaptive physics-informed neural networks breakdown → | 246 |
| 5 | 25 | |
| 6 | 20 | |
| 7 | 17 |
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.