Nial Friel

2.6k total citations
63 papers, 1.3k citations indexed

About

Nial Friel is a scholar working on Artificial Intelligence, Statistics and Probability and Mathematical Physics. According to data from OpenAlex, Nial Friel has authored 63 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 39 papers in Statistics and Probability and 5 papers in Mathematical Physics. Recurrent topics in Nial Friel's work include Bayesian Methods and Mixture Models (37 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (20 papers). Nial Friel is often cited by papers focused on Bayesian Methods and Mixture Models (37 papers), Statistical Methods and Bayesian Inference (25 papers) and Statistical Methods and Inference (20 papers). Nial Friel collaborates with scholars based in Ireland, United Kingdom and Australia. Nial Friel's co-authors include A. N. Pettitt, Alberto Caimo, Jason Wyse, Adrian E. Raftery, Håvard Rue, Stephen P. Brooks, R. Reeves, Ruth King, Pierre Alquier and Richard G. Everitt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Genome biology.

In The Last Decade

Nial Friel

59 papers receiving 1.3k citations

Peers

Nial Friel
Comparison fields: 5 of 150
  • Artificial Intelligence 560
  • Statistics and Probability 508
  • Statistical and Nonlinear Physics 225
  • Molecular Biology 127
  • Economics and Econometrics 93
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Citations per field, relative to Nial Friel
Nial Friel · 1×
Citations per year, relative to Nial Friel
Nial Friel · 1×

Countries citing papers authored by Nial Friel

Since Specialization
Citations

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

Fields of papers citing papers by Nial Friel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nial Friel

This figure shows the co-authorship network connecting the top 25 collaborators of Nial Friel. A scholar is included among the top collaborators of Nial Friel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nial Friel. Nial Friel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 10
5 1
6 28
7 16
8 55
9 3
10 4
11 9
12
A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection
14
13 38
14
Deterministic Bayesian inference for the p* model
1
15
Approximate simulation free multiple changepoint analysis with Gaussian Markov random field segment models
0
16 130
17 38
18
Motor unit number estimation using reversible jump Markov chain Monte Carlo (with discussion).
2
19 19
20 22

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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