GLITTER : Data reduction software for laser ablation ICP-MS
- Authors
- William L. Griffin
- Journal
- Medical Entomology and Zoology
In The Last Decade
doi.org/w84225185 →Countries where authors are citing GLITTER : Data reduction software for laser ablation ICP-MS
This map shows the geographic impact of GLITTER : Data reduction software for laser ablation ICP-MS. 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 GLITTER : Data reduction software for laser ablation ICP-MS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites GLITTER : Data reduction software for laser ablation ICP-MS more than expected).
Fields of papers citing GLITTER : Data reduction software for laser ablation ICP-MS
This network shows the impact of GLITTER : Data reduction software for laser ablation ICP-MS. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the GLITTER : Data reduction software for laser ablation ICP-MS.
About GLITTER : Data reduction software for laser ablation ICP-MS
This paper, published in 2008, received 637 indexed citations . Written by William L. Griffin covering the research area of Endocrinology, Diabetes and Metabolism. It is primarily cited by scholars working on Geophysics (598 citations), Artificial Intelligence (274 citations) and Geochemistry and Petrology (93 citations). Published in Medical Entomology and Zoology.
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/w84225185.