Ian Gallagher
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
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- Complex Network Analysis Techniques 2
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- Advanced Graph Neural Networks 1
- Bayesian Modeling and Causal Inference 1
- Bayesian Methods and Mixture Models 1
- Co-authors
- Kate M. Mitchell (1 shared paper)Carey E. Priebe (1 shared paper)Patrick Rubin‐Delanchy (1 shared paper)A. Jones (1 shared paper)Gordon N. Dutton (1 shared paper)Richard Bowman (1 shared paper)
- Journals
- Journal of the American Statistical Association (1 paper)Journal of Visual Impairment & Blindness (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Ian Gallagher
3 papers receiving 6 citations
Peers
Comparison fields: 5 of 11
- Statistical and Nonlinear Physics 3
- Geography, Planning and Development 1
- Communication 1
- Health, Toxicology and Mutagenesis 1
- Pediatrics, Perinatology and Child Health 1
Countries citing papers authored by Ian Gallagher
This map shows the geographic impact of Ian Gallagher'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 Ian Gallagher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian Gallagher more than expected).
Fields of papers citing papers by Ian Gallagher
This network shows the impact of papers produced by Ian Gallagher. 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 Ian Gallagher. The network helps show where Ian Gallagher may publish in the future.
Co-authors
The 6 scholars most cited alongside Ian Gallagher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Ian Gallagher
Ian Gallagher is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Geometry and Topology, Ophthalmology and Epidemiology, having authored 3 papers that have together received 6 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (2 papers), Advanced Graph Neural Networks (1 paper), Ophthalmology and Visual Health Research (1 paper), Ophthalmology and Visual Impairment Studies (1 paper), Bayesian Modeling and Causal Inference (1 paper), Retinopathy of Prematurity Studies (1 paper), Bayesian Methods and Mixture Models (1 paper) and Graph theory and applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (3 citations), Geography, Planning and Development (1 citation), Communication (1 citation), Health, Toxicology and Mutagenesis (1 citation) and Pediatrics, Perinatology and Child Health (1 citation). Ian Gallagher has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kate M. Mitchell, Carey E. Priebe, Patrick Rubin‐Delanchy, A. Jones, Gordon N. Dutton and Richard Bowman. Their work appears in journals such as Journal of the American Statistical Association and Journal of Visual Impairment & Blindness.
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.