Basis Set Exchange: A Community Database for Computational Sciences
In The Last Decade
doi.org/10.1021/ci600510j →Countries where authors are citing Basis Set Exchange: A Community Database for Computational Sciences
This map shows the geographic impact of Basis Set Exchange: A Community Database for Computational Sciences. 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 Basis Set Exchange: A Community Database for Computational Sciences with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Basis Set Exchange: A Community Database for Computational Sciences more than expected).
Fields of papers citing Basis Set Exchange: A Community Database for Computational Sciences
This network shows the impact of Basis Set Exchange: A Community Database for Computational Sciences. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Basis Set Exchange: A Community Database for Computational Sciences.
About Basis Set Exchange: A Community Database for Computational Sciences
This paper, published in 2007, received 2.7k indexed citations . Written by Karen Schuchardt, Brett Didier, Todd Elsethagen, Lisong Sun, Vidhya Gurumoorthi, Jared Chase, Jun Z. Li and Theresa L. Windus covering the research area of Information Systems and Management and Computer Networks and Communications. It is primarily cited by scholars working on Atomic and Molecular Physics, and Optics (1.0k citations), Materials Chemistry (849 citations) and Organic Chemistry (823 citations). Published in Journal of Chemical Information and Modeling.
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/ci600510j.