Jens Gläser
Impact in
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- Rheology and Fluid Dynamics Studies
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
Papers in
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- Material Dynamics and Properties 12
- Block Copolymer Self-Assembly 4
- Pickering emulsions and particle stabilization 4
- Machine Learning in Materials Science 4
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- Protein Structure and Dynamics 4
- Co-authors
- David C. Morse (5 shared papers)Klaus Kroy (8 shared papers)Joshua A. Anderson (3 shared papers)Pak Lui (1 shared paper)Trung Dac Nguyen (1 shared paper)Filippo Spiga (1 shared paper)Jaime A. Millan (1 shared paper)Gosia M. Hübner (2 shared papers)
- Journals
- Soft Matter (3 papers)The International Journal of High Performance Computing Applications (3 papers)Computational Materials Science (2 papers)Macromolecules (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jens Gläser
31 papers receiving 1.5k citations
Jens Gläser's Hit Papers
Peers
Comparison fields: 5 of 109
- Fluid Flow and Transfer Processes 138
- Condensed Matter Physics 229
- Materials Chemistry 835
- Organic Chemistry 391
- Surfaces, Coatings and Films 74
Countries citing papers authored by Jens Gläser
This map shows the geographic impact of Jens Gläser'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 Jens Gläser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Gläser more than expected).
Fields of papers citing papers by Jens Gläser
This network shows the impact of papers produced by Jens Gläser. 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 Jens Gläser. The network helps show where Jens Gläser may publish in the future.
Co-authors
The 25 scholars most cited alongside Jens Gläser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Strong scaling of general-purpose molecular dynamics simulations on GPUs Hit paper breakdown → | 2015 | 483 |
| 2 | 1999 | 176 | |
| 3 | 2014 | 117 | |
| 4 | 2007 | 105 | |
| 5 | 2015 | 88 | |
| 6 | 2019 | 70 | |
| 7 | 2007 | 66 | |
| 8 | 2014 | 64 | |
| 9 | 2015 | 41 | |
| 10 | 2012 | 38 | |
| 11 | 2010 | 29 | |
| 12 | 2011 | 28 | |
| 13 | 2021 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2019 | 25 | |
| 16 | 2020 | 22 | |
| 17 | 2022 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2022 | 20 | |
| 20 | 2015 | 16 |
About Jens Gläser
Jens Gläser is a scholar working on Materials Chemistry, Molecular Biology, Condensed Matter Physics, Computational Theory and Mathematics and Organic Chemistry, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Material Dynamics and Properties (12 papers), Computational Drug Discovery Methods (9 papers), Theoretical and Computational Physics (8 papers), Protein Structure and Dynamics (4 papers), Cellular Mechanics and Interactions (4 papers), Block Copolymer Self-Assembly (4 papers), Pickering emulsions and particle stabilization (4 papers) and Machine Learning in Materials Science (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (138 citations), Condensed Matter Physics (229 citations), Materials Chemistry (835 citations), Organic Chemistry (391 citations) and Surfaces, Coatings and Films (74 citations). Jens Gläser has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David C. Morse, Klaus Kroy, Joshua A. Anderson, Pak Lui, Trung Dac Nguyen, Filippo Spiga, Jaime A. Millan, Gosia M. Hübner, Fritz Vögtle and Christian Seel. Their work appears in journals such as Soft Matter, The International Journal of High Performance Computing Applications, Computational Materials Science, Macromolecules and Angewandte Chemie International Edition.
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.