Greg Ewing

About

Greg Ewing is a scholar working on Artificial Intelligence, Genetics and Statistics and Probability. According to data from OpenAlex, Greg Ewing has authored 5 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Genetics and 2 papers in Statistics and Probability. Recurrent topics in Greg Ewing’s work include Bayesian Methods and Mixture Models (3 papers), HIV Research and Treatment (2 papers) and Survey Sampling and Estimation Techniques (2 papers). Greg Ewing is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), HIV Research and Treatment (2 papers) and Survey Sampling and Estimation Techniques (2 papers). Greg Ewing collaborates with scholars based in New Zealand, Switzerland and Austria. Greg Ewing's co-authors include Walter Salzburger, Arndt von Haeseler, Allen G. Rodrigo, Geoff K. Nicholls and Jeffrey D. Jensen and has published in prestigious journals such as Genetics, Molecular Ecology and Frontiers in Genetics.

In The Last Decade

Co-authorship network of co-authors of Greg Ewing i

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Fields of papers citing papers by Greg Ewing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Greg Ewing

Since Specialization

Citations

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