N. Krawetz
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 4
-
- Distributed and Parallel Computing Systems 2
- Advanced Data Storage Technologies 2
- Co-authors
- Laxmikant V. Kalé (3 shared papers)Aritomo Shinozaki (4 shared papers)J. C. Phillips (4 shared papers)Róbert Brunner (4 shared papers)Robert D. Skeel (2 shared papers)Klaus Schulten (2 shared papers)Attila Gürsoy (3 shared papers)Milind Bhandarkar (2 shared papers)
- Journals
- Journal of Computational Physics (1 paper)Lecture notes in computational science and engineering (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
N. Krawetz
5 papers receiving 2.2k citations
N. Krawetz's Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.4k
- Hardware and Architecture 101
- Physical and Theoretical Chemistry 96
- Structural Biology 15
- Atomic and Molecular Physics, and Optics 319
Countries citing papers authored by N. Krawetz
This map shows the geographic impact of N. Krawetz'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 N. Krawetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Krawetz more than expected).
Fields of papers citing papers by N. Krawetz
This network shows the impact of papers produced by N. Krawetz. 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 N. Krawetz. The network helps show where N. Krawetz may publish in the future.
Co-authors
The 15 scholars most cited alongside N. Krawetz, 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 | NAMD2: Greater Scalability for Parallel Molecular Dynamics Hit paper breakdown → | 1999 | 2163 |
| 2 | 1998 | 28 | |
| 3 | 1999 | 6 | |
| 4 | NAMD Version 2.4 | 2002 | 3 |
| 5 | 1996 | 2 |
About N. Krawetz
N. Krawetz is a scholar working on Hardware and Architecture, Computer Networks and Communications, Molecular Biology, Artificial Intelligence and Control and Systems Engineering, having authored 5 papers that have together received 2.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (2 papers), Algorithms and Data Compression (2 papers), Advanced Data Storage Technologies (2 papers), Genomics and Phylogenetic Studies (1 paper), Cloud Computing and Resource Management (1 paper), Enzyme Structure and Function (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Hardware and Architecture (101 citations), Physical and Theoretical Chemistry (96 citations), Structural Biology (15 citations) and Atomic and Molecular Physics, and Optics (319 citations). N. Krawetz has collaborated with scholars based in United States. Frequent co-authors include Laxmikant V. Kalé, Aritomo Shinozaki, J. C. Phillips, Róbert Brunner, Robert D. Skeel, Klaus Schulten, Attila Gürsoy, Milind Bhandarkar, Surjit B. Dixit and Mark T. Nelson. Their work appears in journals such as Journal of Computational Physics, Lecture notes in computational science and engineering and Lecture notes in computer science.
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.