Development: Time to leave GDP behind

438 indexed citations

Abstract

loading...

About

This paper, published in 2014, received 438 indexed citations. Written by Robert Costanza, Ida Kubiszewski, Enrico Giovannini, Hunter Lovins, Jacqueline McGlade, Kate E. Pickett, KV Ragnarsdottir, Debra Roberts, Roberto De Vogli and R. Wilkinson covering the research area of Sociology and Political Science, Economics and Econometrics and Management, Monitoring, Policy and Law. It is primarily cited by scholars working on Economics and Econometrics (165 citations), Management, Monitoring, Policy and Law (161 citations) and Global and Planetary Change (98 citations). Published in Nature.

In The Last Decade

doi.org/10.1038/505283a →

Countries where authors are citing Development: Time to leave GDP behind

Specialization
Citations

This map shows the geographic impact of Development: Time to leave GDP behind. 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 Development: Time to leave GDP behind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Development: Time to leave GDP behind more than expected).

Fields of papers citing Development: Time to leave GDP behind

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Development: Time to leave GDP behind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Development: Time to leave GDP behind.

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/10.1038/505283a.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026