Joshua Habiger
- Molecular Biology
- Plant Science
- Genetics
- Geriatrics and Gerontology top 5%
- Statistics and Probability top 5%
- Co-authors
- Edsel A. PeñaMichael P. AndersonDeepak PoudyalXiangli CuiAlexander A. ChumanevichAnne B. HofsethJin YuPrakash Nagarkatti
- Topics
- Statistical Methods in Clinical Trials (9 papers)Optimal Experimental Design Methods (8 papers)Statistical Methods and Bayesian Inference (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationApplied and Environmental Microbiology
- Partner nations
- United StatesCanada
In The Last Decade
Joshua Habiger
22 papers receiving 390 citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 143
- Plant Science 75
- Genetics 68
- Geriatrics and Gerontology 56
- Statistics and Probability 54
Countries citing papers authored by Joshua Habiger
This map shows the geographic impact of Joshua Habiger'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 Joshua Habiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Habiger more than expected).
Fields of papers citing papers by Joshua Habiger
This network shows the impact of papers produced by Joshua Habiger. 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 Joshua Habiger. The network helps show where Joshua Habiger may publish in the future.
Co-authorship network of co-authors of Joshua Habiger
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Habiger. A scholar is included among the top collaborators of Joshua Habiger 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 Joshua Habiger. Joshua Habiger 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 | 8 | |
| 4 | 12 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 52 | |
| 16 | 179 | |
| 17 | 20 | |
| 18 | 29 | |
| 19 | Examining the Challenges of Missing Data Analysis in Phase Three of the Agricultural Resource Management Survey | 5 |
| 20 | 20 |
About Joshua Habiger
Joshua Habiger is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 24 papers that have together received 403 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (9 papers), Optimal Experimental Design Methods (8 papers) and Statistical Methods and Bayesian Inference (6 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Statistics and Probability (54 citations) and Molecular Medicine (17 citations). Joshua Habiger has collaborated with scholars based in United States and Canada. Frequent co-authors include Edsel A. Peña, Michael P. Anderson, Deepak Poudyal, Xiangli Cui, Alexander A. Chumanevich, Anne B. Hofseth, Jin Yu, Prakash Nagarkatti, Lorne J. Hofseth and Udai P. Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Applied and Environmental Microbiology.
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.