MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions
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doi.org/10.1021/jp3051033 →Countries where authors are citing MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions
This map shows the geographic impact of MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions. 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 MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions more than expected).
Fields of papers citing MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions
This network shows the impact of MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions.
About MESMER: An Open-Source Master Equation Solver for Multi-Energy Well Reactions
This paper, published in 2012, received 508 indexed citations . Written by David R. Glowacki, Christopher Morley, Michael J. Pilling and Struan H. Robertson covering the research area of Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics and Catalysis. It is primarily cited by scholars working on Atmospheric Science (316 citations), Atomic and Molecular Physics, and Optics (184 citations) and Spectroscopy (100 citations). Published in The Journal of Physical Chemistry A.
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/10.1021/jp3051033.