Shulamith T. Gross

25 papers and 605 indexed citations i.

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 25 papers receiving a total of 605 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 6 papers in Artificial Intelligence. Recurrent topics in Shulamith T. Gross’s work include Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Shulamith T. Gross is often cited by papers focused on Statistical Methods and Bayesian Inference (7 papers), Statistical Methods and Inference (6 papers) and Bayesian Methods and Mixture Models (5 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, M. Donbrow, Simon Benita, William Steiger, 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

Co-authorship network of co-authors of Shulamith T. Gross i

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.

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).

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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2025