Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers

763 indexed citations
published 2004

Countries where authors are citing Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers

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Citations

This map shows the geographic impact of Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers. 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 Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers more than expected).

Fields of papers citing Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers.

About Load estimator (LOADEST): a FORTRAN program for estimating constituent loads in streams and rivers

This paper, published in 2004, received 763 indexed citations . Written by Robert L. Runkel, Charles G. Crawford and Timothy A. Cohn covering the research area of Nature and Landscape Conservation, Water Science and Technology and Ecology. It is primarily cited by scholars working on Water Science and Technology (549 citations), Environmental Chemistry (474 citations) and Environmental Engineering (159 citations). Published in Techniques and methods.

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/10.3133/tm4a5.

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