Daniel Sheldon

79 papers and 1.8k indexed citations i.

About

Daniel Sheldon is a scholar working on Ecology, Ecological Modeling and Artificial Intelligence. According to data from OpenAlex, Daniel Sheldon has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ecology, 23 papers in Ecological Modeling and 20 papers in Artificial Intelligence. Recurrent topics in Daniel Sheldon’s work include Species Distribution and Climate Change (23 papers), Avian ecology and behavior (20 papers) and Wildlife Ecology and Conservation (15 papers). Daniel Sheldon is often cited by papers focused on Species Distribution and Climate Change (23 papers), Avian ecology and behavior (20 papers) and Wildlife Ecology and Conservation (15 papers). Daniel Sheldon collaborates with scholars based in United States, Germany and Singapore. Daniel Sheldon's co-authors include Wesley M. Hochachka, Steve Kelling, Daniel Fink, Andrew Farnsworth, Benjamin M. Van Doren, Weng‐Keen Wong, Rebecca Hutchinson, David W. Winkler, Kyle G. Horton and Kevin Winner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Daniel Sheldon i

Fields of papers citing papers by Daniel Sheldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Sheldon. 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 Daniel Sheldon. The network helps show where Daniel Sheldon may publish in the future.

Countries citing papers authored by Daniel Sheldon

Since Specialization
Citations

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