Michael Lass
Impact in
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- Parallel Computing and Optimization Techniques
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- Advanced Chemical Physics Studies
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Parallel Computing and Optimization Techniques 4
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- Quantum Computing Algorithms and Architecture 3
- Security and Verification in Computing 2
- Co-authors
- Christian Plessl (9 shared papers)Thomas D. Kühne (6 shared papers)Tobias Kenter (4 shared papers)Alfio Borzı̀ (1 shared paper)Robert R. Schade (4 shared papers)Eun‐Jae Park (1 shared paper)Hossam Elgabarty (2 shared papers)Ole Schütt (1 shared paper)
- Journals
- ACM Transactions on Reconfigurable Technology and Systems (2 papers)Quantum Science and Technology (1 paper)Communications in Computational Physics (1 paper)The International Journal of High Performance Computing Applications (1 paper)Parallel Computing (1 paper)
- Partner nations
- GermanySpainSouth Korea
In The Last Decade
Michael Lass
10 papers receiving 59 citations
Peers
Comparison fields: 5 of 41
- Hardware and Architecture 8
- Atomic and Molecular Physics, and Optics 22
- Modeling and Simulation 3
- Computational Theory and Mathematics 9
- Biophysics 3
Countries citing papers authored by Michael Lass
This map shows the geographic impact of Michael Lass'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 Michael Lass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Lass more than expected).
Fields of papers citing papers by Michael Lass
This network shows the impact of papers produced by Michael Lass. 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 Michael Lass. The network helps show where Michael Lass may publish in the future.
Co-authors
The 20 scholars most cited alongside Michael Lass, 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 | 2022 | 27 | |
| 2 | 2015 | 11 | |
| 3 | 2023 | 9 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 2 | |
| 6 | 2020 | 2 | |
| 7 | 2019 | 2 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2016 | 1 | |
| 11 | 2024 | 0 | |
| 12 | 2025 | 0 |
About Michael Lass
Michael Lass is a scholar working on Hardware and Architecture, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Numerical Analysis and Computational Theory and Mathematics, having authored 12 papers that have together received 59 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Quantum Computing Algorithms and Architecture (3 papers), Advanced Chemical Physics Studies (2 papers), Advanced NMR Techniques and Applications (2 papers), Security and Verification in Computing (2 papers), Numerical methods for differential equations (1 paper), Physics of Superconductivity and Magnetism (1 paper) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Hardware and Architecture (8 citations), Atomic and Molecular Physics, and Optics (22 citations), Modeling and Simulation (3 citations), Computational Theory and Mathematics (9 citations) and Biophysics (3 citations). Michael Lass has collaborated with scholars based in Germany, Spain and South Korea. Frequent co-authors include Christian Plessl, Thomas D. Kühne, Tobias Kenter, Alfio Borzı̀, Robert R. Schade, Eun‐Jae Park, Hossam Elgabarty, Ole Schütt, Alfio Lazzaro and Stephan Mohr. Their work appears in journals such as ACM Transactions on Reconfigurable Technology and Systems, Quantum Science and Technology, Communications in Computational Physics, The International Journal of High Performance Computing Applications and Parallel Computing.
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.