Natural Resource Modeling

About

The 802 papers published in Natural Resource Modeling in the last decades have received a total of 12.8k indexed citations. Papers published in Natural Resource Modeling usually cover Global and Planetary Change (342 papers), Economics and Econometrics (243 papers) and Nature and Landscape Conservation (167 papers) specifically the topics of Marine and fisheries research (148 papers), Economic and Environmental Valuation (123 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (105 papers). The most active scholars publishing in Natural Resource Modeling are Floyd W. Weckerly, Brian Dennis, Tom Polacheck, J. M. Cushing, Michael Mesterton‐Gibbons, Olli Tahvonen, William J. Reed, André E. Punt, Terrance J. Quinn and Gordon R. Munro.

In The Last Decade

Natural Resource Modeling

747 papers receiving 11.7k citations

Countries where authors publish in Natural Resource Modeling

Since Specialization
Citations

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

Fields of papers published in Natural Resource Modeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Natural Resource Modeling. 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 Natural Resource Modeling.

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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