Daniel Langr
Impact in
- Computational Mathematics top 5%
-
- Nuclear physics research studies
- Quantum Chromodynamics and Particle Interactions
Papers in
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- Parallel Computing and Optimization Techniques 24
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- Nuclear physics research studies 19
- Quantum Chromodynamics and Particle Interactions 17
- Co-authors
- Pavel Tvrdı́k (16 shared papers)T. Dytrych (31 shared papers)Jerry Paul Draayer (19 shared papers)Kristina D. Launey (20 shared papers)James P. Vary (5 shared papers)Pieter Maris (5 shared papers)M. A. Caprio (2 shared papers)Masha Sosonkina (2 shared papers)
- Journals
- Computer Physics Communications (4 papers)Physical Review Letters (3 papers)The International Journal of High Performance Computing Applications (2 papers)Physical Review C (2 papers)IEEE Transactions on Parallel and Distributed Systems (2 papers)
- Partner nations
- CzechiaUnited StatesChina
In The Last Decade
Daniel Langr
47 papers receiving 570 citations
Peers
Comparison fields: 5 of 47
- Computational Mathematics 19
- Nuclear and High Energy Physics 326
- Hardware and Architecture 167
- Spectroscopy 123
- Computer Networks and Communications 136
Countries citing papers authored by Daniel Langr
This map shows the geographic impact of Daniel Langr'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 Daniel Langr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Langr more than expected).
Fields of papers citing papers by Daniel Langr
This network shows the impact of papers produced by Daniel Langr. 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 Daniel Langr. The network helps show where Daniel Langr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Langr, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 104 | |
| 2 | 2013 | 103 | |
| 3 | 2020 | 80 | |
| 4 | 2016 | 36 | |
| 5 | 2022 | 22 | |
| 6 | 2015 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2021 | 15 | |
| 10 | Adaptive-blocking hierarchical storage format for sparse matrices | 2012 | 14 |
| 11 | 2019 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2012 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2005 | 11 | |
| 16 | 2024 | 8 | |
| 17 | 2014 | 7 | |
| 18 | Storing sparse matrices to files in the adaptive-blocking hierarchical storage format | 2013 | 7 |
| 19 | 2013 | 6 | |
| 20 | 2014 | 5 |
About Daniel Langr
Daniel Langr is a scholar working on Hardware and Architecture, Nuclear and High Energy Physics, Computer Networks and Communications, Spectroscopy and Computational Theory and Mathematics, having authored 50 papers that have together received 584 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (24 papers), Nuclear physics research studies (19 papers), Quantum Chromodynamics and Particle Interactions (17 papers), Advanced Data Storage Technologies (15 papers), Distributed and Parallel Computing Systems (14 papers), Advanced NMR Techniques and Applications (12 papers), Matrix Theory and Algorithms (6 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Computational Mathematics (19 citations), Nuclear and High Energy Physics (326 citations), Hardware and Architecture (167 citations), Spectroscopy (123 citations) and Computer Networks and Communications (136 citations). Daniel Langr has collaborated with scholars based in Czechia, United States and China. Frequent co-authors include Pavel Tvrdı́k, T. Dytrych, Jerry Paul Draayer, Kristina D. Launey, James P. Vary, Pieter Maris, M. A. Caprio, Masha Sosonkina, Érik Saule and Ümit V. Çatalyürek. Their work appears in journals such as Computer Physics Communications, Physical Review Letters, The International Journal of High Performance Computing Applications, Physical Review C and IEEE Transactions on Parallel and Distributed Systems.
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.