Nema Dean

25 papers and 797 indexed citations i.

About

Nema Dean is a scholar working on Artificial Intelligence, Economics and Econometrics and Molecular Biology. According to data from OpenAlex, Nema Dean has authored 25 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 6 papers in Economics and Econometrics and 4 papers in Molecular Biology. Recurrent topics in Nema Dean’s work include Bayesian Methods and Mixture Models (7 papers), Advanced Clustering Algorithms Research (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Nema Dean is often cited by papers focused on Bayesian Methods and Mixture Models (7 papers), Advanced Clustering Algorithms Research (6 papers) and Intelligent Tutoring Systems and Adaptive Learning (5 papers). Nema Dean collaborates with scholars based in United Kingdom, United States and Australia. Nema Dean's co-authors include Adrian E. Raftery, Thomas Brendan Murphy, Duncan Lee, Gérard Downey, Rebecca Nugent, Yue Sun, Erica E. M. Moodie, Gwilym Pryce, Guanpeng Dong and Aneta Piekut and has published in prestigious journals such as Journal of the American Statistical Association, Analytica Chimica Acta and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Nema Dean i

Fields of papers citing papers by Nema Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nema Dean

Since Specialization
Citations

This map shows the geographic impact of Nema Dean'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 Nema Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nema Dean 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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2025