OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review
Impact in
Classified as
- Authors
- E. Seifert
In The Last Decade
doi.org/10.1021/ci500161d →Countries where authors are citing OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review
This map shows the geographic impact of OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review. 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 OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review more than expected).
Fields of papers citing OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review
This network shows the impact of OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review.
About OriginPro 9.1: Scientific Data Analysis and Graphing Software—Software Review
This paper, published in 2014, received 387 indexed citations . Written by E. Seifert covering the research area of Information Systems and Management. It is primarily cited by scholars working on Molecular Biology (155 citations), Computational Theory and Mathematics (60 citations), Organic Chemistry (60 citations), Plant Science (47 citations) and Oncology (37 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/ci500161d.