Szilárd Páll
- Molecular Biology top 0.2%
- Materials Chemistry top 1%
- Organic Chemistry top 0.5%
- Biomedical Engineering top 0.5%
- Atomic and Molecular Physics, and Optics top 1%
- Co-authors
- Berk HessErik LindahlRoland SchulzJeremy C. SmithM AbrahamTeemu J. MurtolaSander PronkMichael R. Shirts
- Topics
- Parallel Computing and Optimization Techniques (8 papers)Advanced Data Storage Technologies (6 papers)Protein Structure and Dynamics (4 papers)
- Partner nations
- SwedenGermanyUnited States
In The Last Decade
Szilárd Páll
12 papers receiving 24.8k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Molecular Biology 13.3k
- Materials Chemistry 4.0k
- Organic Chemistry 2.8k
- Biomedical Engineering 2.5k
- Atomic and Molecular Physics, and Optics 2.4k
Countries citing papers authored by Szilárd Páll
This map shows the geographic impact of Szilárd Páll'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 Szilárd Páll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Szilárd Páll more than expected).
Fields of papers citing papers by Szilárd Páll
This network shows the impact of papers produced by Szilárd Páll. 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 Szilárd Páll. The network helps show where Szilárd Páll may publish in the future.
Co-authorship network of co-authors of Szilárd Páll
This figure shows the co-authorship network connecting the top 25 collaborators of Szilárd Páll. A scholar is included among the top collaborators of Szilárd Páll based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Szilárd Páll. Szilárd Páll is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | More bang for your buck: Improved use of GPU nodes for GROMACS 2018breakdown → | 297 |
| 7 | 2 | |
| 8 | LLVM AMDGPU for High Performance Computing: are we competitive yet? | 1 |
| 9 | Highly Tuned Small Matrix Multiplications Applied to Spectral Element Code Nek5000 | 0 |
| 10 | GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputersbreakdown → | 17788 |
| 11 | 193 | |
| 12 | 123 | |
| 13 | A flexible algorithm for calculating pair interactions on SIMD architecturesbreakdown → | 517 |
| 14 | GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkitbreakdown → | 6014 |
| 15 | 1 |
About Szilárd Páll
Szilárd Páll is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 15 papers that have together received 24.9k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (6 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Molecular Biology (13.3k citations), Filtration and Separation (321 citations) and Computational Theory and Mathematics (2.3k citations). Szilárd Páll has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Berk Hess, Erik Lindahl, Roland Schulz, Jeremy C. Smith, M Abraham, Teemu J. Murtola, Sander Pronk, Michael R. Shirts, Peter M. Kasson and Per Larsson. Their work appears in journals such as Bioinformatics, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.
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.