Brian J. Reich
- Statistics and Probability top 0.2%
- Health, Toxicology and Mutagenesis top 1%
- Global and Planetary Change top 2%
- Economics and Econometrics top 1%
- Artificial Intelligence top 2%
- Co-authors
- Howard D. BondellMontserrat FuentesJames S. HodgesKrishna PacificiBenjamin A. ShabyHuixia WangDavid A. MillerDavid B. Dunson
- Topics
- Spatial and Panel Data Analysis (36 papers)Statistical Methods and Inference (34 papers)Statistical Methods and Bayesian Inference (30 papers)
- Journals
- NatureProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
- Partner nations
- United StatesAustraliaSaudi Arabia
In The Last Decade
Brian J. Reich
203 papers receiving 5.1k citations
Peers
Comparison fields: 5 of 195
- Statistics and Probability 1.3k
- Health, Toxicology and Mutagenesis 898
- Global and Planetary Change 867
- Economics and Econometrics 844
- Artificial Intelligence 774
Countries citing papers authored by Brian J. Reich
This map shows the geographic impact of Brian J. Reich'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 Brian J. Reich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian J. Reich more than expected).
Fields of papers citing papers by Brian J. Reich
This network shows the impact of papers produced by Brian J. Reich. 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 Brian J. Reich. The network helps show where Brian J. Reich may publish in the future.
Co-authorship network of co-authors of Brian J. Reich
This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Reich. A scholar is included among the top collaborators of Brian J. Reich 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 Brian J. Reich. Brian J. Reich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 46 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 8 | |
| 16 | 10 | |
| 17 | A Review of Spatial Causal Inference\nMethods for Environmental and\nEpidemiological Applications | 49 |
| 18 | 1 | |
| 19 | 28 | |
| 20 | Data Mining for Extreme Behavior with Application to Ground Level Ozone | 1 |
About Brian J. Reich
Brian J. Reich is a scholar working on Statistics and Probability, Environmental Engineering and Health, Toxicology and Mutagenesis, having authored 214 papers that have together received 5.3k indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (36 papers), Statistical Methods and Inference (34 papers) and Statistical Methods and Bayesian Inference (30 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Ecological Modeling (489 citations) and Health, Toxicology and Mutagenesis (898 citations). Brian J. Reich has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include Howard D. Bondell, Montserrat Fuentes, James S. Hodges, Krishna Pacifici, Benjamin A. Shaby, Huixia Wang, David A. Miller, James S. Hodges, David B. Dunson and Howard H. Chang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.
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.