Mackenzie R. Neal

About

Mackenzie R. Neal is a scholar working on Biomedical Engineering, Artificial Intelligence and Immunology. According to data from OpenAlex, Mackenzie R. Neal has authored 3 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Biomedical Engineering, 1 paper in Artificial Intelligence and 1 paper in Immunology. Recurrent topics in Mackenzie R. Neal’s work include T-cell and B-cell Immunology (1 paper), Bayesian Methods and Mixture Models (1 paper) and Diabetes and associated disorders (1 paper). Mackenzie R. Neal is often cited by papers focused on T-cell and B-cell Immunology (1 paper), Bayesian Methods and Mixture Models (1 paper) and Diabetes and associated disorders (1 paper). Mackenzie R. Neal collaborates with scholars based in United Kingdom. Mackenzie R. Neal's co-authors include Jon Timmis and Paul D. McNicholas and has published in prestigious journals such as Knowledge-Based Systems, IEEE Journal of Oceanic Engineering and Statistics and Computing.

In The Last Decade

Co-authorship network of co-authors of Mackenzie R. Neal i

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Fields of papers citing papers by Mackenzie R. Neal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mackenzie R. Neal. 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 Mackenzie R. Neal. The network helps show where Mackenzie R. Neal may publish in the future.

Countries citing papers authored by Mackenzie R. Neal

Since Specialization

Citations

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