Shulamith T. Gross

858 total citations
24 papers, 637 citations indexed

About

Shulamith T. Gross is a scholar working on Statistics and Probability, Economics and Econometrics and Artificial Intelligence. According to data from OpenAlex, Shulamith T. Gross has authored 24 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Economics and Econometrics and 5 papers in Artificial Intelligence. Recurrent topics in Shulamith T. Gross's work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (4 papers). Shulamith T. Gross is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (7 papers) and Bayesian Methods and Mixture Models (4 papers). Shulamith T. Gross collaborates with scholars based in United States, Australia and France. Shulamith T. Gross's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and Biometrics.

In The Last Decade

Shulamith T. Gross

24 papers receiving 586 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shulamith T. Gross United States 10 216 104 91 89 80 24 637
Naushad Mamode Khan Mauritius 13 232 1.1× 97 0.9× 105 1.2× 51 0.6× 38 0.5× 67 580
Syoichi Sasabuchi Japan 9 142 0.7× 71 0.7× 93 1.0× 21 0.2× 53 0.7× 10 349
Kevin McNally United Kingdom 15 36 0.2× 31 0.3× 40 0.4× 23 0.3× 93 1.2× 57 731
Mark Yuying An United States 11 101 0.5× 46 0.4× 271 3.0× 48 0.5× 19 0.2× 26 576
Hiroki Tsurumi United States 13 112 0.5× 40 0.4× 177 1.9× 25 0.3× 20 0.3× 49 425
Krzysztof Ostaszewski United States 11 91 0.4× 37 0.4× 192 2.1× 59 0.7× 38 0.5× 61 470
Roger J. Bowden New Zealand 13 147 0.7× 38 0.4× 405 4.5× 60 0.7× 54 0.7× 70 767
Gautam Tripathi United States 10 239 1.1× 27 0.3× 195 2.1× 23 0.3× 35 0.4× 21 562
Yichuan Zhao United States 16 652 3.0× 11 0.1× 49 0.5× 190 2.1× 26 0.3× 110 874

Countries citing papers authored by Shulamith T. Gross

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Huber‐Carol, Catherine, Shulamith T. Gross, & Filia Vonta. (2019). Risk analysis: Survival data analysis vs. machine learning. Application to Alzheimer prediction. Comptes Rendus Mécanique. 347(11). 817–830. 2 indexed citations
2.
Nachum, Lilac, Srilata Zaheer, & Shulamith T. Gross. (2008). Does it Matter Where Countries Are? Proximity to Knowledge, Markets and Resources and MNE Location Choices. SSRN Electronic Journal. 1 indexed citations
3.
Nachum, Lilac, Srilata Zaheer, & Shulamith T. Gross. (2008). Does It Matter Where Countries Are? Proximity to Knowledge, Markets and Resources, and MNE Location Choices. Management Science. 54(7). 1252–1265. 116 indexed citations
4.
Feldman, David & Shulamith T. Gross. (2005). Mortgage Default: Classification Trees Analysis. The Journal of Real Estate Finance and Economics. 30(4). 369–396. 59 indexed citations
5.
Yosef, Rami, et al.. (2004). Pricing of a European Call Option on Pension Annuity Insurance. Journal of Insurance Issues. 27(1). 66–82. 1 indexed citations
6.
Gross, Shulamith T., et al.. (2000). Hierarchical Dependency Models for Multivariate Survival Data with Censoring. Lifetime Data Analysis. 6(4). 299–320. 1 indexed citations
7.
Gross, Shulamith T. & Tze Leung Lai. (1996). Nonparametric Estimation and Regression Analysis with Left-Truncated and Right-Censored Data. Journal of the American Statistical Association. 91(435). 1166–1180. 67 indexed citations
8.
Gross, Shulamith T. & Tze Leung Lai. (1996). BOOTSTRAP METHODS FOR TRUNCATED AND CENSORED DATA. 25 indexed citations
9.
Toaff, Michael E., Shulamith T. Gross, & Anna S. Lev-Toaff. (1995). Controlled ovarian hyperstimulation and transvaginal intratubal insemination as an alternative to gamete intrafallopian transfer. Fertility and Sterility. 64(4). 777–786. 1 indexed citations
10.
Gross, Shulamith T. & Martin A. Tanner. (1992). Tools for Statistical Inference: Observed Data and Data Augmentation Methods.. Journal of the American Statistical Association. 87(420). 1247–1247. 133 indexed citations
11.
Gross, Shulamith T. & Martin R. Frankel. (1991). Confidence limits for small proportions in complex samples. Communication in Statistics- Theory and Methods. 20(3). 951–975. 1 indexed citations
12.
13.
Gross, Shulamith T., Amnon Hoffman, M. Donbrow, & Simon Benita. (1986). Fundamentals of release mechanism interpretation in multiparticulate systems: the prediction of the commonly observed release equations from statistical population models for particle ensembles. International Journal of Pharmaceutics. 29(2-3). 213–222. 38 indexed citations
14.
Gross, Shulamith T.. (1986). The Kappa Coefficient of Agreement for Multiple Observers When the Number of Subjects is Small. Biometrics. 42(4). 883–883. 66 indexed citations
15.
Gross, Shulamith T.. (1981). On Asymptotic Power and Efficiency of Tests of Independence in Contingency Tables with Ordered Classifications. Journal of the American Statistical Association. 76(376). 935–941. 7 indexed citations
16.
Gross, Shulamith T., et al.. (1981). M34 On the definition of unbiasedness for estimating parameters which are random variables. Communications in Statistics - Simulation and Computation. 10(4). 435–436. 1 indexed citations
17.
Gross, Shulamith T.. (1981). On Asymptotic Power and Efficiency of Tests of Independence in Contingency Tables with Ordered Classifications. Journal of the American Statistical Association. 76(376). 935–935. 2 indexed citations
18.
Berenson, Mark L. & Shulamith T. Gross. (1981). Designing completely randomized experiments to detect ordered treatment effects: an empirical study. Communications in Statistics - Simulation and Computation. 10(4). 405–431. 1 indexed citations
19.
Gross, Shulamith T. & William Steiger. (1979). Least absolute deviation estimates in autoregression with infinite variance. Journal of Applied Probability. 16(1). 104–116. 5 indexed citations
20.
Gross, Shulamith T. & Paul W. Holland. (1968). The Distribution of Galton's Statistic. The Annals of Mathematical Statistics. 39(6). 2114–2117. 1 indexed citations

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.

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