Barry Rowlingson
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
-
- COVID-19 epidemiological studies 6
-
- Statistical Methods and Bayesian Inference 6
- Co-authors
- Peter J. DiggleRoger BivandAnthony C. GatrellTrevor BaileyBenjamín M. TaylorMadeleine C. ThomsonPaula MoragaTing‐Li Su
- Journals
- Journal of Statistical Software (6 papers)Health & Place (2 papers)Emerging infectious diseases (2 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Barry Rowlingson
42 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Modeling and Simulation 179
- Ecological Modeling 141
- Environmental Engineering 322
- Statistics and Probability 171
- Transportation 139
Countries citing papers authored by Barry Rowlingson
This map shows the geographic impact of Barry Rowlingson'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 Barry Rowlingson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry Rowlingson more than expected).
Fields of papers citing papers by Barry Rowlingson
This network shows the impact of papers produced by Barry Rowlingson. 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 Barry Rowlingson. The network helps show where Barry Rowlingson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Barry Rowlingson, 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 | 13 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 10 | |
| 5 | 2021 | 1 | |
| 6 | 2019 | 8 | |
| 7 | 2015 | 19 | |
| 8 | spatsurv : Bayesian spatial survival analysis with parametric proportional hazards models | 2014 | 1 |
| 9 | stpp : An R Package for Plotting, Simulating and Analyzing Spatio-Temporal Point Patterns | 2013 | 7 |
| 10 | 2013 | 13 | |
| 11 | Lgcp: Inference with spatial and spatio-temporal log-gaussian cox processes in R | 2013 | 4 |
| 12 | 2012 | 19 | |
| 13 | 2007 | 32 | |
| 14 | 2006 | 15 | |
| 15 | 2006 | 32 | |
| 16 | 2001 | 28 | |
| 17 | 1999 | 118 | |
| 18 | 1997 | 22 | |
| 19 | 1994 | 114 | |
| 20 | 1992 | 31 |
About Barry Rowlingson
Barry Rowlingson is a scholar working on Modeling and Simulation, Statistics and Probability, Endocrinology, Applied Microbiology and Biotechnology and Applied Mathematics, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (10 papers), Data-Driven Disease Surveillance (8 papers), Statistical Methods and Bayesian Inference (6 papers), COVID-19 epidemiological studies (6 papers), Point processes and geometric inequalities (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Bayesian Methods and Mixture Models (3 papers) and Legionella and Acanthamoeba research (3 papers). The work is most often cited by research in Modeling and Simulation (179 citations), Ecological Modeling (141 citations), Environmental Engineering (322 citations), Statistics and Probability (171 citations) and Transportation (139 citations). Barry Rowlingson has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Peter J. Diggle, Roger Bivand, Anthony C. Gatrell, Trevor Bailey, Benjamín M. Taylor, Madeleine C. Thomson, Paula Moraga, Ting‐Li Su, Rana Moyeed and Edith Gabriel. Their work appears in journals such as Journal of Statistical Software, Health & Place, Emerging infectious diseases, Journal of the Royal Statistical Society Series C (Applied Statistics) and Clinical Infectious Diseases.
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.