Moritz Hoffmann
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
Papers in
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- Advanced Data Storage Technologies 4
- Distributed systems and fault tolerance 2
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- Protein Structure and Dynamics 4
- Gene Regulatory Network Analysis 2
- Co-authors
- Frank Noé (3 shared papers)Martin K. Scherer (1 shared paper)Fabian Paul (1 shared paper)Jan-Hendrik Prinz (1 shared paper)Nuria Plattner (1 shared paper)Christoph Wehmeyer (1 shared paper)Guillermo Pérez‐Hernández (1 shared paper)Gerhard Wagner (1 shared paper)
- Journals
- Journal of Chemical Theory and Computation (1 paper)PLoS Computational Biology (1 paper)The Journal of Chemical Physics (1 paper)Nature (1 paper)The Journal of Physical Chemistry A (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Moritz Hoffmann
17 papers receiving 1.6k citations
Moritz Hoffmann's Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 381
- Molecular Biology 1.1k
- Biophysics 43
- Spectroscopy 117
- Materials Chemistry 303
Countries citing papers authored by Moritz Hoffmann
This map shows the geographic impact of Moritz Hoffmann'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 Moritz Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moritz Hoffmann more than expected).
Fields of papers citing papers by Moritz Hoffmann
This network shows the impact of papers produced by Moritz Hoffmann. 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 Moritz Hoffmann. The network helps show where Moritz Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Moritz Hoffmann, 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 | PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models Hit paper breakdown → | 2015 | 843 |
| 2 | An open-source drug discovery platform enables ultra-large virtual screens Hit paper breakdown → | 2020 | 430 |
| 3 | 2019 | 113 | |
| 4 | 2019 | 54 | |
| 5 | 2019 | 41 | |
| 6 | 2018 | 39 | |
| 7 | 2022 | 16 | |
| 8 | 2016 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 1960 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 0 |
About Moritz Hoffmann
Moritz Hoffmann is a scholar working on Computer Networks and Communications, Molecular Biology, Information Systems, Artificial Intelligence and Materials Chemistry, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Advanced Data Storage Technologies (4 papers), Cloud Computing and Resource Management (3 papers), Distributed systems and fault tolerance (2 papers), Parallel Computing and Optimization Techniques (2 papers), Data Stream Mining Techniques (2 papers), Gene Regulatory Network Analysis (2 papers) and Security and Verification in Computing (2 papers). The work is most often cited by research in Computational Theory and Mathematics (381 citations), Molecular Biology (1.1k citations), Biophysics (43 citations), Spectroscopy (117 citations) and Materials Chemistry (303 citations). Moritz Hoffmann has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Frank Noé, Martin K. Scherer, Fabian Paul, Jan-Hendrik Prinz, Nuria Plattner, Christoph Wehmeyer, Guillermo Pérez‐Hernández, Gerhard Wagner, Andras Boeszoermenyi and Zifu Wang. Their work appears in journals such as Journal of Chemical Theory and Computation, PLoS Computational Biology, The Journal of Chemical Physics, Nature and The Journal of Physical Chemistry A.
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.