Brett Koonce

2 papers and 209 indexed citations
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About

Brett Koonce is a scholar working on Artificial Intelligence, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, Brett Koonce has authored 2 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 0 papers in General Agricultural and Biological Sciences and 0 papers in Agronomy and Crop Science. Recurrent topics in Brett Koonce’s work include Computational Physics and Python Applications (1 paper). Brett Koonce is often cited by papers focused on Computational Physics and Python Applications (1 paper). Brett Koonce collaborates with scholars based in and . Brett Koonce's co-authors include and and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research) and Apress eBooks.

In The Last Decade

No nodes

Fields of papers citing papers by Brett Koonce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Brett Koonce

Since Specialization
Citations

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