Paul J. Atzberger
- Molecular Biology
- Biomedical Engineering top 10%
- Computational Mechanics top 5%
- Materials Chemistry
- Condensed Matter Physics top 10%
- Co-authors
- Charles S. PeskinPeter R. KramerJon K. SigurdssonH. Tom SohAren E. GerdonJiangrong QianEric T. LagallyYi Xiao
- Topics
- Nanopore and Nanochannel Transport Studies (12 papers)Lattice Boltzmann Simulation Studies (10 papers)Lipid Membrane Structure and Behavior (9 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Paul J. Atzberger
41 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 603
- Biomedical Engineering 477
- Computational Mechanics 274
- Materials Chemistry 138
- Condensed Matter Physics 137
Countries citing papers authored by Paul J. Atzberger
This map shows the geographic impact of Paul J. Atzberger'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 Paul J. Atzberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Atzberger more than expected).
Fields of papers citing papers by Paul J. Atzberger
This network shows the impact of papers produced by Paul J. Atzberger. 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 Paul J. Atzberger. The network helps show where Paul J. Atzberger may publish in the future.
Co-authorship network of co-authors of Paul J. Atzberger
This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Atzberger. A scholar is included among the top collaborators of Paul J. Atzberger 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 Paul J. Atzberger. Paul J. Atzberger 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 | 3 | |
| 5 | GMLS-Nets: A Machine Learning Framework for Unstructured Data. | 1 |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 43 | |
| 10 | 26 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 16 | |
| 14 | 26 | |
| 15 | 5 | |
| 16 | 58 | |
| 17 | 11 | |
| 18 | 58 | |
| 19 | A Stochastic Immersed Boundary Method for Biological Fluid Dynamics at Microscopic Length Scales | 1 |
| 20 | 23 |
About Paul J. Atzberger
Paul J. Atzberger is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Physical and Theoretical Chemistry, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (12 papers), Lattice Boltzmann Simulation Studies (10 papers) and Lipid Membrane Structure and Behavior (9 papers). The work is most often cited by research in Computational Mechanics (274 citations), Condensed Matter Physics (137 citations) and Biomedical Engineering (477 citations). Paul J. Atzberger has collaborated with scholars based in United States and France. Frequent co-authors include Charles S. Peskin, Peter R. Kramer, Jon K. Sigurdsson, H. Tom Soh, Aren E. Gerdon, Jiangrong Qian, Eric T. Lagally, Yi Xiao, Theodore M. Tarasow and Alan J. Heeger. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.
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.