Andreas Krämer

69 papers receiving 2.2k citations

Andreas Krämer's Hit Papers

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials 2023 · 271 citations
2710+2+4Years since publication50100150200250

Peers

Andreas Krämer
Comparison fields: 5 of 145
  • Industrial and Manufacturing Engineering 202
  • Computational Theory and Mathematics 238
  • Nuclear and High Energy Physics 184
  • Molecular Biology 903
  • Materials Chemistry 550
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Liang Hong China
Hugh Cartwright United Kingdom
David H. Gray United States
Atsushi Takahashi Japan
Kipton M. Barros United States
Hiroshi Nakagawa Japan
Riccardo Chelli Italy
Masha Sosonkina United States
Lin Lin United States
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Countries citing papers authored by Andreas Krämer

Since Specialization
Citations

This map shows the geographic impact of Andreas Krämer'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 Andreas Krämer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Krämer more than expected).

Fields of papers citing papers by Andreas Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Krämer. 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 Andreas Krämer. The network helps show where Andreas Krämer may publish in the future.

Co-authors

The 25 scholars most cited alongside Andreas Krämer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Krämer Line = papers co-authored together Andreas Krämer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular Dynamics Simulations of Membrane Permeability
Hit paper breakdown →
2019298
2
OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials
Hit paper breakdown →
2023271
3 2021186
4 2020131
5 2019104
6 199488
7 202176
8 202261
9 202158
10 202057
11 199756
12 201748
13 202348
14 199643
15 199440
16 202038
17 199036
18 199432
19 202229
20 201928

About Andreas Krämer

Andreas Krämer is a scholar working on Computational Mechanics, Nuclear and High Energy Physics, Polymers and Plastics, Industrial and Manufacturing Engineering and Atomic and Molecular Physics, and Optics, having authored 71 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Lattice Boltzmann Simulation Studies (12 papers), Spectroscopy and Quantum Chemical Studies (10 papers), Lipid Membrane Structure and Behavior (9 papers), Machine Learning in Materials Science (8 papers), Fluid Dynamics and Vibration Analysis (7 papers), Synthesis and properties of polymers (6 papers) and Scheduling and Optimization Algorithms (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (202 citations), Computational Theory and Mathematics (238 citations), Nuclear and High Energy Physics (184 citations), Molecular Biology (903 citations) and Materials Chemistry (550 citations). Andreas Krämer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Richard W. Pastor, Richard M. Venable, Peter Brucker, Frank Noé, Cecilia Clementi, Hans Guenter Dosch, Dirk Reith, Bernd Jurisch, Holger Foysi and Jeffery B. Klauda. Their work appears in journals such as Journal of Chemical Theory and Computation, Physical review. E, Physics Letters B, Annals of Operations Research and Journal of Polymer Science Part A Polymer Chemistry.

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.

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