Diane Lambert

57 papers and 3.7k indexed citations i.

About

Diane Lambert is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Diane Lambert has authored 57 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 12 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Diane Lambert’s work include Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (10 papers) and Advanced Statistical Process Monitoring (7 papers). Diane Lambert is often cited by papers focused on Advanced Statistical Methods and Models (10 papers), Statistical Methods and Bayesian Inference (10 papers) and Advanced Statistical Process Monitoring (7 papers). Diane Lambert collaborates with scholars based in United States, Canada and Germany. Diane Lambert's co-authors include George T. Duncan, Dean Follmann, Thomas P. Ryan, Luke Tierney, B. A. Peterson, Chuanhai Liu, Yan Yu, Kathryn Roeder, William J. Hall and Daryl Pregibon and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Physics and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Diane Lambert i

Fields of papers citing papers by Diane Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane Lambert. 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 Diane Lambert. The network helps show where Diane Lambert may publish in the future.

Countries citing papers authored by Diane Lambert

Since Specialization
Citations

This map shows the geographic impact of Diane Lambert'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 Diane Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Lambert 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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