Joshua Garland

About

Joshua Garland is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Economics and Econometrics. According to data from OpenAlex, Joshua Garland has authored 34 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 7 papers in Economics and Econometrics. Recurrent topics in Joshua Garland’s work include Complex Systems and Time Series Analysis (7 papers), Social Media and Politics (5 papers) and Time Series Analysis and Forecasting (5 papers). Joshua Garland is often cited by papers focused on Complex Systems and Time Series Analysis (7 papers), Social Media and Politics (5 papers) and Time Series Analysis and Forecasting (5 papers). Joshua Garland collaborates with scholars based in United States, Germany and Switzerland. Joshua Garland's co-authors include Elizabeth Bradley, Paul A. Baker, Ryan G. James, E. J. Ekdahl, James D. Meiss, Laurent Hébert‐Dufresne, Jean-Gabriel Young, Mirta Galešić, Elizabeth A. Hobson and Andrew M. Berdahl and has published in prestigious journals such as Nature, PLoS ONE and The American Naturalist.

In The Last Decade

Co-authorship network of co-authors of Joshua Garland i

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Fields of papers citing papers by Joshua Garland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua Garland. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joshua Garland. The network helps show where Joshua Garland may publish in the future.

Countries citing papers authored by Joshua Garland

Since Specialization

Citations

This map shows the geographic impact of Joshua Garland's 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 Joshua Garland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Garland 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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