Shulamith T. Gross
- Statistics and Probability top 2%
- Strategy and Management top 10%
- Economics and Econometrics top 10%
- Artificial Intelligence
- Accounting top 10%
- Co-authors
- Martin A. TannerTze Leung LaiLilac NachumSrilata ZaheerDavid FeldmanWilliam SteigerM. DonbrowSimon Benita
- Topics
- Statistical Methods and Bayesian Inference (7 papers)Statistical Methods and Inference (7 papers)Bayesian Methods and Mixture Models (4 papers)
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Shulamith T. Gross
24 papers receiving 586 citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 216
- Strategy and Management 104
- Economics and Econometrics 91
- Artificial Intelligence 89
- Accounting 80
Countries citing papers authored by Shulamith T. Gross
This map shows the geographic impact of Shulamith T. Gross'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 Shulamith T. Gross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shulamith T. Gross more than expected).
Fields of papers citing papers by Shulamith T. Gross
This network shows the impact of papers produced by Shulamith T. Gross. 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 Shulamith T. Gross. The network helps show where Shulamith T. Gross may publish in the future.
Co-authorship network of co-authors of Shulamith T. Gross
This figure shows the co-authorship network connecting the top 25 collaborators of Shulamith T. Gross. A scholar is included among the top collaborators of Shulamith T. Gross 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 Shulamith T. Gross. Shulamith T. Gross 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 | 1 | |
| 3 | 116 | |
| 4 | 59 | |
| 5 | Pricing of a European Call Option on Pension Annuity Insurance | 1 |
| 6 | 1 | |
| 7 | 67 | |
| 8 | BOOTSTRAP METHODS FOR TRUNCATED AND CENSORED DATA | 25 |
| 9 | 1 | |
| 10 | 133 | |
| 11 | 1 | |
| 12 | 48 | |
| 13 | 66 | |
| 14 | 38 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Shulamith T. Gross
Shulamith T. Gross is a scholar working on Statistics and Probability, General Economics, Econometrics and Finance and Pharmaceutical Science, having authored 24 papers that have together received 637 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Statistics and Probability (216 citations), Pharmaceutical Science (71 citations) and Statistics, Probability and Uncertainty (68 citations). Shulamith T. Gross has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Martin A. Tanner, Tze Leung Lai, Lilac Nachum, Srilata Zaheer, David Feldman, William Steiger, M. Donbrow, Simon Benita, Amnon Hoffman and Amnon Hoffman. Their work appears in journals such as Journal of the American Statistical Association, Management Science and Biometrics.
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.