Transdisciplinary Method for Water Pollution and Human Health Research

61 indexed citations
published 2010
Journal
Econstor (Econstor)

In The Last Decade

doi.org/w62841605 →

Countries where authors are citing Transdisciplinary Method for Water Pollution and Human Health Research

Specialization
Citations

This map shows the geographic impact of Transdisciplinary Method for Water Pollution and Human Health Research. 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 Transdisciplinary Method for Water Pollution and Human Health Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Transdisciplinary Method for Water Pollution and Human Health Research more than expected).

Fields of papers citing Transdisciplinary Method for Water Pollution and Human Health Research

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Transdisciplinary Method for Water Pollution and Human Health Research. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Transdisciplinary Method for Water Pollution and Human Health Research.

About Transdisciplinary Method for Water Pollution and Human Health Research

This paper, published in 2010, received 61 indexed citations . Written by Peter P. Mollinga covering the research area of Political Science and International Relations, Global and Planetary Change and Development. It is primarily cited by scholars working on Development (45 citations), Political Science and International Relations (15 citations) and Sociology and Political Science (10 citations). Published in Econstor (Econstor).

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/w62841605.

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