Alicia A. Johnson
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 6
- Statistical Methods and Bayesian Inference 5
- Statistical Methods and Inference 4
-
- Bayesian Methods and Mixture Models 7
-
- Nematode management and characterization studies 2
-
- Parasite Biology and Host Interactions 2
- Aquatic Invertebrate Ecology and Behavior 2
-
- Study of Mite Species 2
- Co-authors
- Galin L. JonesMiles Q. OttAlison J. JohnsonOlga KosoyRobert S. LanciottiBrad J. BiggerstaffMaurice G. KleveF. Jay Breidt
- Cited by
- Statistics and ProbabilityInfectious DiseasesPublic Health, Environmental and Occupational Health
- Journals
- SHILAP Revista de lepidopterología (1 paper)Computational Statistics & Data Analysis (1 paper)Journal of Parasitology (4 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Alicia A. Johnson
15 papers receiving 171 citations
Peers
Comparison fields: 5 of 77
- Statistics and Probability 57
- Infectious Diseases 59
- Public Health, Environmental and Occupational Health 54
- Parasitology 9
- Human Factors and Ergonomics 3
Countries citing papers authored by Alicia A. Johnson
This map shows the geographic impact of Alicia A. Johnson'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 Alicia A. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alicia A. Johnson more than expected).
Fields of papers citing papers by Alicia A. Johnson
This network shows the impact of papers produced by Alicia A. Johnson. 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 Alicia A. Johnson. The network helps show where Alicia A. Johnson may publish in the future.
Co-authorship network
The 11 scholars most cited alongside Alicia A. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 11 | |
| 2 | 2022 | 35 | |
| 3 | 2015 | 7 | |
| 4 | 2015 | 3 | |
| 5 | 2014 | 1 | |
| 6 | Estimating distribution functions from survey data using nonparametric regression | 2010 | 0 |
| 7 | 2010 | 13 | |
| 8 | Component-wise Markov chain Monte Carlo | 2009 | 4 |
| 9 | 2008 | 9 | |
| 10 | 2008 | 3 | |
| 11 | Gibbs Sampling for a Bayesian Hierarchical Version of the General Linear Mixed Model | 2007 | 6 |
| 12 | 2005 | 69 | |
| 13 | 1999 | 2 | |
| 14 | 1998 | 5 | |
| 15 | 1997 | 2 | |
| 16 | 1996 | 7 |
About Alicia A. Johnson
Alicia A. Johnson is a scholar working on Statistics and Probability, Human Factors and Ergonomics and Artificial Intelligence, having authored 16 papers that have together received 177 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (7 papers), Markov Chains and Monte Carlo Methods (6 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (4 papers), Nematode management and characterization studies (2 papers), Parasite Biology and Host Interactions (2 papers), Aquatic Invertebrate Ecology and Behavior (2 papers) and Study of Mite Species (2 papers). The work is most often cited by research in Statistics and Probability (57 citations), Infectious Diseases (59 citations) and Public Health, Environmental and Occupational Health (54 citations). Alicia A. Johnson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Galin L. Jones, Miles Q. Ott, Alison J. Johnson, Olga Kosoy, Robert S. Lanciotti, Brad J. Biggerstaff, Maurice G. Kleve, F. Jay Breidt, Jean D. Opsomer and James M. Flegal. Their work appears in journals such as SHILAP Revista de lepidopterología, Computational Statistics & Data Analysis and Journal of Parasitology.
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.