Aaron F. McDaid
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Molecular Biology
- Statistics and Probability top 5%
- Co-authors
- Neil HurleyFergal ReidConrad LeeThomas Brendan MurphyPaul D. McNicholasZoltán KutalikNial FrielSina Rüeger
- Topics
- Complex Network Analysis Techniques (6 papers)Genetic Associations and Epidemiology (3 papers)Bayesian Methods and Mixture Models (3 papers)
- Partner nations
- IrelandSwitzerlandCanada
In The Last Decade
Aaron F. McDaid
15 papers receiving 554 citations
Peers
Comparison fields: 5 of 88
- Statistical and Nonlinear Physics 324
- Artificial Intelligence 215
- Computer Networks and Communications 120
- Molecular Biology 93
- Statistics and Probability 60
Countries citing papers authored by Aaron F. McDaid
This map shows the geographic impact of Aaron F. McDaid'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 Aaron F. McDaid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron F. McDaid more than expected).
Fields of papers citing papers by Aaron F. McDaid
This network shows the impact of papers produced by Aaron F. McDaid. 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 Aaron F. McDaid. The network helps show where Aaron F. McDaid may publish in the future.
Co-authorship network of co-authors of Aaron F. McDaid
This figure shows the co-authorship network connecting the top 25 collaborators of Aaron F. McDaid. A scholar is included among the top collaborators of Aaron F. McDaid 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 Aaron F. McDaid. Aaron F. McDaid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Parsimonious Gaussian Mixture Models [R package pgmm version 1.2.4] | 2 |
| 3 | 26 | |
| 4 | 47 | |
| 5 | 25 | |
| 6 | 19 | |
| 7 | 4 | |
| 8 | 23 | |
| 9 | 42 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 189 | |
| 13 | 92 | |
| 14 | 81 | |
| 15 | Psychosocial Issues Associated with Short Stature. | 2 |
About Aaron F. McDaid
Aaron F. McDaid is a scholar working on Statistical and Nonlinear Physics, Internal Medicine and Artificial Intelligence, having authored 15 papers that have together received 579 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Genetic Associations and Epidemiology (3 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (324 citations), Aging (18 citations) and Statistics and Probability (60 citations). Aaron F. McDaid has collaborated with scholars based in Ireland, Switzerland and Canada. Frequent co-authors include Neil Hurley, Fergal Reid, Conrad Lee, Thomas Brendan Murphy, Paul D. McNicholas, Zoltán Kutalik, Nial Friel, Sina Rüeger, Péter Vollenweider and Pedro Marques‐Vidal. Their work appears in journals such as Nature Communications, PLoS ONE and PLoS Genetics.
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.