Parallel Tempering: Theory, Applications, and New Perspectives
Impact in
Classified as
- Authors
- David J. EarlMichael W. Deem
In The Last Decade
doi.org/w5504379 →Countries where authors are citing Parallel Tempering: Theory, Applications, and New Perspectives
This map shows the geographic impact of Parallel Tempering: Theory, Applications, and New Perspectives. 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 Parallel Tempering: Theory, Applications, and New Perspectives with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Parallel Tempering: Theory, Applications, and New Perspectives more than expected).
Fields of papers citing Parallel Tempering: Theory, Applications, and New Perspectives
This network shows the impact of Parallel Tempering: Theory, Applications, and New Perspectives. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Parallel Tempering: Theory, Applications, and New Perspectives.
About Parallel Tempering: Theory, Applications, and New Perspectives
This paper, published in 2008, received 728 indexed citations . Written by David J. Earl and Michael W. Deem covering the research area of Hardware and Architecture, Condensed Matter Physics and Computational Theory and Mathematics. It is primarily cited by scholars working on Molecular Biology (241 citations), Materials Chemistry (189 citations), Atomic and Molecular Physics, and Optics (149 citations), Condensed Matter Physics (123 citations) and Artificial Intelligence (77 citations).
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/w5504379.