Michael Fop

About

Michael Fop is a scholar working on Artificial Intelligence, Statistics and Probability and Statistical and Nonlinear Physics. According to data from OpenAlex, Michael Fop has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Michael Fop’s work include Bayesian Methods and Mixture Models (9 papers), Advanced Clustering Algorithms Research (6 papers) and Complex Network Analysis Techniques (3 papers). Michael Fop is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Advanced Clustering Algorithms Research (6 papers) and Complex Network Analysis Techniques (3 papers). Michael Fop collaborates with scholars based in Ireland, Italy and United States. Michael Fop's co-authors include Thomas Brendan Murphy, Luca Scrucca, Adrian E. Raftery, Keith M. Smart, Noel McCaffrey, Kieran Moran, Siobhán O’Connor, Enda Whyte, Marco Alfò and Aisling Ní Annaidh and has published in prestigious journals such as Scientific Reports, Acta Biomaterialia and Annals of Biomedical Engineering.

In The Last Decade

Co-authorship network of co-authors of Michael Fop i

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Fields of papers citing papers by Michael Fop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Michael Fop

Since Specialization

Citations

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