Paul McNamee

188 papers and 5.3k indexed citations i.

About

Paul McNamee is a scholar working on General Health Professions, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Paul McNamee has authored 188 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in General Health Professions, 38 papers in Artificial Intelligence and 33 papers in Economics and Econometrics. Recurrent topics in Paul McNamee’s work include Topic Modeling (32 papers), Natural Language Processing Techniques (29 papers) and Health Systems, Economic Evaluations, Quality of Life (28 papers). Paul McNamee is often cited by papers focused on Topic Modeling (32 papers), Natural Language Processing Techniques (29 papers) and Health Systems, Economic Evaluations, Quality of Life (28 papers). Paul McNamee collaborates with scholars based in United Kingdom, United States and Australia. Paul McNamee's co-authors include James Mayfield, Graham Scotland, Ian Young, Christopher M. Loughrey, Silvia Coretti, Matteo Ruggeri, Janet H. Lightbody, Gordon Prescott, Silvia Mendolia and Corri Black and has published in prestigious journals such as The Lancet, PLoS ONE and Stroke.

In The Last Decade

Co-authorship network of co-authors of Paul McNamee i

Fields of papers citing papers by Paul McNamee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paul McNamee

Since Specialization
Citations

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