Good practice guidance and uncertainty management in national greenhouse gas inventories

823 indexed citations

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This paper, published in 2000, received 823 indexed citations. Written by J. Penman, Dina Kruger, I. E. Galbally, Taka Hiraishi, B. S. Nyenzi, L. V. Buendia, Thomas Martinsen, Joep Meijer, Koji Miwa and Kiyoto Tanabe covering the research area of Global and Planetary Change. It is primarily cited by scholars working on Environmental Engineering (248 citations), Global and Planetary Change (231 citations) and Ecology (162 citations). Published in .

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Countries where authors are citing Good practice guidance and uncertainty management in national greenhouse gas inventories

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This map shows the geographic impact of Good practice guidance and uncertainty management in national greenhouse gas inventories. 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 Good practice guidance and uncertainty management in national greenhouse gas inventories with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Good practice guidance and uncertainty management in national greenhouse gas inventories more than expected).

Fields of papers citing Good practice guidance and uncertainty management in national greenhouse gas inventories

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Good practice guidance and uncertainty management in national greenhouse gas inventories. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Good practice guidance and uncertainty management in national greenhouse gas inventories.

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/w50551871.

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