Zvi Gilula
- Statistics and Probability top 1%
- Food Science top 5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Shelby J. HabermanPeter E. RossiGreg M. AllenbyYa’acov RitovAbba Μ. KriegerA. Avinoam KowarskiZvi ZadikStuart A. Chalew
- Topics
- Advanced Statistical Methods and Models (17 papers)Statistical Methods and Bayesian Inference (13 papers)Bayesian Modeling and Causal Inference (13 papers)
- Journals
- Journal of the American Statistical AssociationGastroenterologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Zvi Gilula
51 papers receiving 891 citations
Peers
Comparison fields: 5 of 114
- Statistics and Probability 428
- Food Science 244
- Artificial Intelligence 207
- Management Science and Operations Research 132
- Endocrinology, Diabetes and Metabolism 91
Countries citing papers authored by Zvi Gilula
This map shows the geographic impact of Zvi Gilula'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 Zvi Gilula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zvi Gilula more than expected).
Fields of papers citing papers by Zvi Gilula
This network shows the impact of papers produced by Zvi Gilula. 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 Zvi Gilula. The network helps show where Zvi Gilula may publish in the future.
Co-authorship network of co-authors of Zvi Gilula
This figure shows the co-authorship network connecting the top 25 collaborators of Zvi Gilula. A scholar is included among the top collaborators of Zvi Gilula 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 Zvi Gilula. Zvi Gilula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 38 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 46 | |
| 8 | 36 | |
| 9 | 95 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 46 | |
| 13 | 52 | |
| 14 | 12 | |
| 15 | 9 | |
| 16 | 40 | |
| 17 | 10 | |
| 18 | 10 | |
| 19 | 5 | |
| 20 | A statistical analysis of the loss of muscle strength in Duchenne's muscular dystrophy. | 5 |
About Zvi Gilula
Zvi Gilula is a scholar working on Statistics and Probability, Food Science and Artificial Intelligence, having authored 52 papers that have together received 985 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (17 papers), Statistical Methods and Bayesian Inference (13 papers) and Bayesian Modeling and Causal Inference (13 papers). The work is most often cited by research in Statistics and Probability (428 citations), Computational Mathematics (11 citations) and Food Science (244 citations). Zvi Gilula has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Shelby J. Haberman, Peter E. Rossi, Greg M. Allenby, Ya’acov Ritov, Abba Μ. Krieger, A. Avinoam Kowarski, Zvi Zadik, Stuart A. Chalew, Robert E. McCulloch and Irwin Guttman. Their work appears in journals such as Journal of the American Statistical Association, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.