Geographical Analysis

1.6k papers and 62.1k indexed citations
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About

The 1.6k papers published in Geographical Analysis in the last decades have received a total of 62.1k indexed citations. Papers published in Geographical Analysis usually cover Economics and Econometrics (848 papers), Transportation (365 papers) and Global and Planetary Change (286 papers) specifically the topics of Spatial and Panel Data Analysis (537 papers), Regional Economics and Spatial Analysis (320 papers) and Urban Transport and Accessibility (248 papers). The most active scholars publishing in Geographical Analysis are Luc Anselin, Arthur Getis, A. Stewart Fotheringham, J. Keith Ord, Harvey J. Miller, Chris Brunsdon, Mei‐Po Kwan, Martin Charlton, Ibnu Syabri and Waldo Tobler.

In The Last Decade

Geographical Analysis

1.5k papers receiving 55.5k citations

Fields of papers published in Geographical Analysis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Geographical Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Geographical Analysis.

Countries where authors publish in Geographical Analysis

Since Specialization
Citations

This map shows the geographic impact of research published in Geographical 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 papers published in Geographical Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geographical Analysis more than expected).

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.

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