Quantitative geography : perspectives on spatial data analysis
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doi.org/w4565886 →Countries where authors are citing Quantitative geography : perspectives on spatial data analysis
This map shows the geographic impact of Quantitative geography : perspectives on spatial data analysis. 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 Quantitative geography : perspectives on spatial data analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quantitative geography : perspectives on spatial data analysis more than expected).
Fields of papers citing Quantitative geography : perspectives on spatial data analysis
This network shows the impact of Quantitative geography : perspectives on spatial data analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Quantitative geography : perspectives on spatial data analysis.
About Quantitative geography : perspectives on spatial data analysis
This paper, published in 2000, received 681 indexed citations . Written by A. Stewart Fotheringham, Chris Brunsdon and Martin Charlton covering the research area of Environmental Engineering, Economics and Econometrics and Information Systems. It is primarily cited by scholars working on Economics and Econometrics (228 citations), Transportation (158 citations) and Global and Planetary Change (156 citations). Published in Sage eBooks.
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/w4565886.