Lukas Prantl
About
In The Last Decade
Lukas Prantl
336 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Surgery 2.9k
- Rehabilitation 1.1k
- Genetics 724
- Biomedical Engineering 692
- Molecular Biology 656
Countries citing papers authored by Lukas Prantl
This map shows the geographic impact of Lukas Prantl'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 Lukas Prantl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Prantl more than expected).
Fields of papers citing papers by Lukas Prantl
This network shows the impact of papers produced by Lukas Prantl. 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 Lukas Prantl. The network helps show where Lukas Prantl may publish in the future.
Co-authorship network of co-authors of Lukas Prantl
This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Prantl. A scholar is included among the top collaborators of Lukas Prantl 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 Lukas Prantl. Lukas Prantl 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 | 0 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | Lagrangian Fluid Simulation with Continuous Convolutions | 38 |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 4 | |
| 20 | Pre-computed Liquid Spaces with Generative Neural Networks and Optical Flow | 7 |
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.