Large-scale Atomic/Molecular Massively Parallel Simulator
Impact in
Classified as
- Authors
- Carsten Svaneborg
- Journal
- University of Southern Denmark Research Portal (University of Southern Denmark)
In The Last Decade
doi.org/w56966210 →Countries where authors are citing Large-scale Atomic/Molecular Massively Parallel Simulator
This map shows the geographic impact of Large-scale Atomic/Molecular Massively Parallel Simulator. 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 Large-scale Atomic/Molecular Massively Parallel Simulator with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Large-scale Atomic/Molecular Massively Parallel Simulator more than expected).
Fields of papers citing Large-scale Atomic/Molecular Massively Parallel Simulator
This network shows the impact of Large-scale Atomic/Molecular Massively Parallel Simulator. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Large-scale Atomic/Molecular Massively Parallel Simulator.
About Large-scale Atomic/Molecular Massively Parallel Simulator
This paper, published in 2011, received 310 indexed citations . Written by Carsten Svaneborg covering the research area of Information Systems and Management, Hardware and Architecture and Computer Networks and Communications. It is primarily cited by scholars working on Materials Chemistry (155 citations), Mechanical Engineering (66 citations), Biomedical Engineering (48 citations), Civil and Structural Engineering (36 citations) and Mechanics of Materials (27 citations). Published in University of Southern Denmark Research Portal (University of Southern Denmark).
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.
This paper is also available at doi.org/w56966210.