Richard Huggins
- Genetics top 1%
- Cognitive Neuroscience top 2%
- Ecology top 2%
- Statistics and Probability top 0.5%
- Molecular Biology top 10%
- Co-authors
- Danuta Z. LoeschMinh BuiRandi J. HagermanAnnette K. TaylorCheryl DissanayakeSally CliffordI. V. BasawaJakub Stoklosa
- Topics
- Census and Population Estimation (41 papers)Genetics and Neurodevelopmental Disorders (25 papers)Statistical Methods and Inference (24 papers)
- Partner nations
- AustraliaTaiwanUnited States
In The Last Decade
Richard Huggins
133 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Genetics 1.6k
- Cognitive Neuroscience 1.1k
- Ecology 1.1k
- Statistics and Probability 831
- Molecular Biology 749
Countries citing papers authored by Richard Huggins
This map shows the geographic impact of Richard Huggins'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 Richard Huggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Huggins more than expected).
Fields of papers citing papers by Richard Huggins
This network shows the impact of papers produced by Richard Huggins. 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 Richard Huggins. The network helps show where Richard Huggins may publish in the future.
Co-authorship network of co-authors of Richard Huggins
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Huggins. A scholar is included among the top collaborators of Richard Huggins 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 Richard Huggins. Richard Huggins 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 | 17 | |
| 3 | 9 | |
| 4 | 22 | |
| 5 | 33 | |
| 6 | 70 | |
| 7 | 37 | |
| 8 | 5 | |
| 9 | 5 | |
| 10 | 36 | |
| 11 | A NOTE ON NONPARAMETRIC INFERENCE FOR CAPTURE-RECAPTURE EXPERIMENTS WITH HETEROGENEOUS CAPTURE PROBABILITIES | 13 |
| 12 | 74 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | Expansion of the CGG repeat in fragile X in the FMR1 gene depends on the sex of the offspring. | 24 |
| 16 | 6 | |
| 17 | 36 | |
| 18 | 38 | |
| 19 | 0 | |
| 20 | 13 |
About Richard Huggins
Richard Huggins is a scholar working on Statistics and Probability, Modeling and Simulation and Genetics, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Census and Population Estimation (41 papers), Genetics and Neurodevelopmental Disorders (25 papers) and Statistical Methods and Inference (24 papers). The work is most often cited by research in Statistics and Probability (831 citations), Genetics (1.6k citations) and Cognitive Neuroscience (1.1k citations). Richard Huggins has collaborated with scholars based in Australia, Taiwan and United States. Frequent co-authors include Danuta Z. Loesch, Minh Bui, Randi J. Hagerman, Annette K. Taylor, Cheryl Dissanayake, Sally Clifford, I. V. Basawa, Jakub Stoklosa, Robert G. Staudte and Paul S. F. Yip. Their work appears in journals such as Journal of the American Statistical Association, Neurology and Annals of Neurology.
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.