Cari G. Kaufman
- Environmental Engineering top 5%
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Economics and Econometrics top 10%
- Global and Planetary Change
- Co-authors
- Mark J. SchervishDouglas NychkaStephan R. SainBenjamin A. ShabySalman HabibDerek BinghamKatrin HeitmannJ. Frieman
- Topics
- Statistical Methods and Bayesian Inference (4 papers)Statistical Methods and Inference (4 papers)Soil Geostatistics and Mapping (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Cari G. Kaufman
10 papers receiving 514 citations
Peers
Comparison fields: 5 of 89
- Environmental Engineering 273
- Artificial Intelligence 177
- Statistics and Probability 117
- Economics and Econometrics 103
- Global and Planetary Change 91
Countries citing papers authored by Cari G. Kaufman
This map shows the geographic impact of Cari G. Kaufman'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 Cari G. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cari G. Kaufman more than expected).
Fields of papers citing papers by Cari G. Kaufman
This network shows the impact of papers produced by Cari G. Kaufman. 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 Cari G. Kaufman. The network helps show where Cari G. Kaufman may publish in the future.
Co-authorship network of co-authors of Cari G. Kaufman
This figure shows the co-authorship network connecting the top 25 collaborators of Cari G. Kaufman. A scholar is included among the top collaborators of Cari G. Kaufman 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 Cari G. Kaufman. Cari G. Kaufman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | R package mcll for Monte Carlo local likelihood estimation | 1 |
| 5 | 59 | |
| 6 | Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions, With An Application to Cosmology | 60 |
| 7 | 7 | |
| 8 | 79 | |
| 9 | 292 | |
| 10 | 26 |
About Cari G. Kaufman
Cari G. Kaufman is a scholar working on Statistics and Probability, Ecological Modeling and Environmental Engineering, having authored 10 papers that have together received 550 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Statistical Methods and Inference (4 papers) and Soil Geostatistics and Mapping (3 papers). The work is most often cited by research in Environmental Engineering (273 citations), Statistics and Probability (117 citations) and Statistics, Probability and Uncertainty (40 citations). Cari G. Kaufman has collaborated with scholars based in United States and Canada. Frequent co-authors include Mark J. Schervish, Douglas Nychka, Stephan R. Sain, Benjamin A. Shaby, Salman Habib, Derek Bingham, Katrin Heitmann, J. Frieman, Valérie Ventura and Robert E. Kass. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Statistics in Medicine.
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.