William H. Greene
- Economics and Econometrics top 5%
- Accounting top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Massimo FilippiniCraig P. DahlgrenValeria PizarroKrista D. ShermanLucy B. PalmerGirma T. KassieTsedeke AbateBekele Shiferaw
- Topics
- Statistical Methods and Bayesian Inference (3 papers)Economic and Environmental Valuation (2 papers)Statistical Methods and Inference (2 papers)
- Journals
- American Journal of Respiratory and Critical Care MedicineEconomics LettersJournal of Visualized Experiments
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
William H. Greene
7 papers receiving 919 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Economics and Econometrics 362
- Accounting 235
- Sociology and Political Science 181
- Strategy and Management 180
- Management Science and Operations Research 136
Countries citing papers authored by William H. Greene
This map shows the geographic impact of William H. Greene'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 William H. Greene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Greene more than expected).
Fields of papers citing papers by William H. Greene
This network shows the impact of papers produced by William H. Greene. 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 William H. Greene. The network helps show where William H. Greene may publish in the future.
Co-authorship network of co-authors of William H. Greene
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Greene. A scholar is included among the top collaborators of William H. Greene 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 William H. Greene. William H. Greene 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 | 23 | |
| 3 | 0 | |
| 4 | 166 | |
| 5 | Testing hypotheses about interaction terms in nonlinear modelsbreakdown → | 609 |
| 6 | 46 | |
| 7 | 56 | |
| 8 | 53 | |
| 9 | 6 |
About William H. Greene
William H. Greene is a scholar working on Statistics and Probability, Critical Care and Intensive Care Medicine and Statistics, Probability and Uncertainty, having authored 9 papers that have together received 959 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (3 papers), Economic and Environmental Valuation (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Accounting (235 citations), Economics and Econometrics (362 citations) and Strategy and Management (180 citations). William H. Greene has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Massimo Filippini, Craig P. Dahlgren, Valeria Pizarro, Krista D. Sherman, Lucy B. Palmer, Girma T. Kassie, Tsedeke Abate, Bekele Shiferaw, Chloe Sutcliffe and Jiwei Li. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Economics Letters and Journal of Visualized Experiments.
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.