A. Baumgærtner
Impact in
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics
Papers in
-
- Theoretical and Computational Physics 11
-
- Stochastic processes and statistical mechanics 8
- Co-authors
- M. MuthukumarJung‐Hsin LinK. SumithraSylvio MayMaria Maddalena SperottoGeorg BüldtValentin GordeliySergei Grudinin
- Journals
- The Journal of Chemical Physics (8 papers)Macromolecules (4 papers)Physica A Statistical Mechanics and its Applications (4 papers)Journal of Physics A Mathematical and Theoretical (2 papers)Computational and Theoretical Polymer Science (2 papers)
- Partner nations
- GermanyIndiaNetherlands
In The Last Decade
A. Baumgærtner
33 papers receiving 732 citations
Peers
Comparison fields: 5 of 82
- Fluid Flow and Transfer Processes 56
- Condensed Matter Physics 105
- Physical and Theoretical Chemistry 74
- Microbiology 46
- Biomedical Engineering 248
Countries citing papers authored by A. Baumgærtner
This map shows the geographic impact of A. Baumgærtner'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 A. Baumgærtner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Baumgærtner more than expected).
Fields of papers citing papers by A. Baumgærtner
This network shows the impact of papers produced by A. Baumgærtner. 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 A. Baumgærtner. The network helps show where A. Baumgærtner may publish in the future.
Co-authorship network
The 18 scholars most cited alongside A. Baumgærtner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2019 | 2 | |
| 3 | 2016 | 12 | |
| 4 | 2014 | 1 | |
| 5 | 2012 | 4 | |
| 6 | 2011 | 1 | |
| 7 | 2010 | 7 | |
| 8 | 2009 | 4 | |
| 9 | 2009 | 3 | |
| 10 | 2008 | 6 | |
| 11 | 2008 | 2 | |
| 12 | 2006 | 54 | |
| 13 | 2005 | 47 | |
| 14 | 2001 | 37 | |
| 15 | 2000 | 92 | |
| 16 | 1999 | 3 | |
| 17 | 1999 | 6 | |
| 18 | 1998 | 34 | |
| 19 | 1998 | 3 | |
| 20 | 1989 | 123 |
About A. Baumgærtner
A. Baumgærtner is a scholar working on Condensed Matter Physics, Mathematical Physics, Statistics and Probability, Statistical and Nonlinear Physics and Biophysics, having authored 33 papers that have together received 747 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (11 papers), Stochastic processes and statistical mechanics (8 papers), Lipid Membrane Structure and Behavior (7 papers), Material Dynamics and Properties (6 papers), Force Microscopy Techniques and Applications (4 papers), Protein Structure and Dynamics (4 papers), Cellular Mechanics and Interactions (4 papers) and Markov Chains and Monte Carlo Methods (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (56 citations), Condensed Matter Physics (105 citations), Physical and Theoretical Chemistry (74 citations), Microbiology (46 citations) and Biomedical Engineering (248 citations). A. Baumgærtner has collaborated with scholars based in Germany, India and Netherlands. Frequent co-authors include M. Muthukumar, Jung‐Hsin Lin, K. Sumithra, Sylvio May, Maria Maddalena Sperotto, Georg Büldt, Valentin Gordeliy, Sergei Grudinin, Do Y. Yoon and Tomàs Sintes. Their work appears in journals such as The Journal of Chemical Physics, Macromolecules, Physica A Statistical Mechanics and its Applications, Journal of Physics A Mathematical and Theoretical and Computational and Theoretical Polymer Science.
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.