Soil and Water Assessment Tool Theoretical Documentation Version 2009
Impact in
- Journal
- OakTrust (Texas A&M University Libraries)
In The Last Decade
doi.org/w44167768 →Countries where authors are citing Soil and Water Assessment Tool Theoretical Documentation Version 2009
This map shows the geographic impact of Soil and Water Assessment Tool Theoretical Documentation Version 2009. 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 Soil and Water Assessment Tool Theoretical Documentation Version 2009 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soil and Water Assessment Tool Theoretical Documentation Version 2009 more than expected).
Fields of papers citing Soil and Water Assessment Tool Theoretical Documentation Version 2009
This network shows the impact of Soil and Water Assessment Tool Theoretical Documentation Version 2009. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Soil and Water Assessment Tool Theoretical Documentation Version 2009.
About Soil and Water Assessment Tool Theoretical Documentation Version 2009
This paper, published in 2011, received 3.1k indexed citations . Written by J. G. Arnold, James R. Kiniry and Jeffery Williams. It is primarily cited by scholars working on Water Science and Technology (2.7k citations), Global and Planetary Change (1.5k citations), Environmental Engineering (846 citations), Soil Science (832 citations) and Environmental Chemistry (741 citations). Published in OakTrust (Texas A&M University Libraries).
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/w44167768.