Susan Gruber
- Epidemiology top 2%
- Statistics and Probability top 0.2%
- Economics and Econometrics top 2%
- Critical Care and Intensive Care Medicine top 1%
- Surgery
- Co-authors
- Mark J. van der LaanKristin E. PorterMichael KlompasJohn T. MenchacaYue WangMaya L. PetersenAnita KarczChanu Rhee
- Topics
- Advanced Causal Inference Techniques (36 papers)Statistical Methods and Inference (26 papers)Statistical Methods and Bayesian Inference (23 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaClinical Infectious Diseases
- Partner nations
- United StatesNew ZealandSwitzerland
In The Last Decade
Susan Gruber
58 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Epidemiology 1.2k
- Statistics and Probability 1.1k
- Economics and Econometrics 393
- Critical Care and Intensive Care Medicine 351
- Surgery 272
Countries citing papers authored by Susan Gruber
This map shows the geographic impact of Susan Gruber'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 Susan Gruber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Gruber more than expected).
Fields of papers citing papers by Susan Gruber
This network shows the impact of papers produced by Susan Gruber. 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 Susan Gruber. The network helps show where Susan Gruber may publish in the future.
Co-authorship network of co-authors of Susan Gruber
This figure shows the co-authorship network connecting the top 25 collaborators of Susan Gruber. A scholar is included among the top collaborators of Susan Gruber 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 Susan Gruber. Susan Gruber 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 | 1 | |
| 3 | 2 | |
| 4 | 58 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014breakdown → | 1214 |
| 8 | 20 | |
| 9 | 23 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 125 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | tmle: An R Package for Targeted Maximum Likelihood Estimation | 25 |
| 16 | 74 | |
| 17 | 372 | |
| 18 | 103 | |
| 19 | 59 | |
| 20 | 121 |
About Susan Gruber
Susan Gruber is a scholar working on Statistics and Probability, Toxicology and Applied Microbiology and Biotechnology, having authored 59 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (36 papers), Statistical Methods and Inference (26 papers) and Statistical Methods and Bayesian Inference (23 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Family Practice (160 citations) and Critical Care and Intensive Care Medicine (351 citations). Susan Gruber has collaborated with scholars based in United States, New Zealand and Switzerland. Frequent co-authors include Mark J. van der Laan, Kristin E. Porter, Michael Klompas, John T. Menchaca, Yue Wang, Maya L. Petersen, Anita Karcz, Chanu Rhee, David J. Murphy and Anthony E. Fiore. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología 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.