Diane Lambert

7.8k total citations · 1 hit paper
62 papers, 4.2k citations indexed

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 62 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Diane Lambert's work include Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Diane Lambert is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (10 papers) and Bayesian Methods and Mixture Models (7 papers). Diane Lambert collaborates with scholars based in United States, Germany and Canada. Diane Lambert's co-authors include George T. Duncan, Dean Follmann, Thomas P. Ryan, José Cirı́aco Pinheiro, Chuanhai Liu, Luke Tierney, B. A. Peterson, Yan Yu, Daryl Pregibon and Kathryn Roeder and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Applied Physics and Technometrics.

In The Last Decade

Diane Lambert

61 papers receiving 3.9k citations

Hit Papers

Zero-Inflated Poisson Regression, with an Application to ... 1992 2026 2003 2014 1992 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diane Lambert United States 21 1.4k 939 620 434 342 62 4.2k
Carl‐Erik Särndal Sweden 17 2.3k 1.6× 637 0.7× 769 1.2× 811 1.9× 398 1.2× 49 4.5k
David Firth United Kingdom 29 1.4k 1.0× 463 0.5× 750 1.2× 561 1.3× 287 0.8× 94 6.4k
Hamparsum Bozdogan United States 16 796 0.6× 775 0.8× 391 0.6× 271 0.6× 387 1.1× 69 4.7k
Leland Wilkinson United States 29 836 0.6× 908 1.0× 218 0.4× 416 1.0× 436 1.3× 75 6.1k
Yvonne Bishop United States 25 2.0k 1.4× 1.0k 1.1× 564 0.9× 556 1.3× 608 1.8× 51 8.5k
Jeffrey S. Simonoff United States 31 2.1k 1.5× 1.1k 1.2× 721 1.2× 254 0.6× 419 1.2× 125 6.1k
Ludwig Fahrmeir Germany 34 2.3k 1.6× 991 1.1× 890 1.4× 126 0.3× 463 1.4× 124 5.2k
Thomas M. Loughin United States 27 1.2k 0.8× 507 0.5× 479 0.8× 195 0.4× 385 1.1× 106 7.0k
Joseph L. Gastwirth United States 41 2.6k 1.8× 653 0.7× 1.0k 1.7× 810 1.9× 629 1.8× 249 7.5k
Karen Kafadar United States 25 915 0.6× 604 0.6× 405 0.7× 130 0.3× 255 0.7× 118 4.4k

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).

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.

Co-authorship network of co-authors of Diane Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Diane Lambert. A scholar is included among the top collaborators of Diane Lambert 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 Diane Lambert. Diane Lambert 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.
Palmer, E. E., J. R. Weirich, R. W. Gaskell, et al.. (2024). Sensitivity Testing of Stereophotoclinometry for the OSIRIS-REx Mission. II. Effective Observation Geometry for Digital Terrain Modeling. The Planetary Science Journal. 5(2). 47–47. 2 indexed citations
2.
Palmer, E. E., J. R. Weirich, R. W. Gaskell, et al.. (2024). Sensitivity Testing of Stereophotoclinometry for the OSIRIS-REx Mission. I. The Accuracy and Errors of Digital Terrain Modeling. The Planetary Science Journal. 5(2). 46–46. 2 indexed citations
3.
Polit, Anjani T., H. Enos, W. V. Boynton, et al.. (2020). Science Operations Planning for the OSIRIS-REx Asteroid Sample Return Mission. Lunar and Planetary Science Conference. 2430. 1 indexed citations
4.
Basse, Guillaume, et al.. (2016). Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments. International Conference on Artificial Intelligence and Statistics. 1412–1420. 1 indexed citations
5.
Chan, David, et al.. (2010). Evaluating online ad campaigns in a pipeline. 7–16. 54 indexed citations
6.
Graybeal, J. M., et al.. (2007). A Statistical View of the Transient Signals That Support a Wireless Call. Technometrics. 49(3). 305–317. 3 indexed citations
7.
Lambert, Diane, et al.. (2007). An algorithm for fast, model-free tracking indoors. ACM SIGMOBILE Mobile Computing and Communications Review. 11(3). 48–58. 14 indexed citations
8.
Ghosh, Joydeep, Diane Lambert, David B. Skillicorn, & Jaideep Srivastava. (2006). Proceedings of the sixth SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics eBooks. 32 indexed citations
9.
Lambert, Diane & Chuanhai Liu. (2006). Adaptive Thresholds. Journal of the American Statistical Association. 101(473). 78–88. 38 indexed citations
10.
Yu, Yan & Diane Lambert. (1999). Fitting Trees to Functional Data, with an Application to Time-of-Day Patterns. Journal of Computational and Graphical Statistics. 8(4). 749–762. 35 indexed citations
11.
Lambert, Diane & Luke Tierney. (1997). Nonparametric Maximum Likelihood Estimation from Samples with Irrelevant Data and Verification Bias. Journal of the American Statistical Association. 92(439). 937–944. 7 indexed citations
12.
Lambert, Diane & Kathryn Roeder. (1995). Overdispersion Diagnostics for Generalized Linear Models. Journal of the American Statistical Association. 90(432). 1225–1236. 25 indexed citations
13.
Lambert, Diane. (1992). Zero-inflacted Poisson regression, with an application to defects in manufacturing. Quality Engineering. 37(10). 563–564. 183 indexed citations
14.
Lambert, Diane, et al.. (1991). Nondetects, Detection Limits, and the Probability of Detection. Journal of the American Statistical Association. 86(414). 266–277. 51 indexed citations
15.
Follmann, Dean & Diane Lambert. (1989). Generalizing Logistic Regression by Nonparametric Mixing. Journal of the American Statistical Association. 84(405). 295–295. 20 indexed citations
16.
Duncan, George T. & Diane Lambert. (1986). Disclosure-Limited Data Dissemination. Journal of the American Statistical Association. 81(393). 10–10. 28 indexed citations
17.
Lambert, Diane & Luke Tierney. (1984). Asymptotic Properties of Maximum Likelihood Estimates in the Mixed Poisson Model. The Annals of Statistics. 12(4). 22 indexed citations
18.
Lambert, Diane, Masafumi Akahira, & Kei Takeuchi. (1982). Asymptotic Efficiency of Statistical Estimators: Concepts and Higher Order Asymptotic Efficiency (Lecture Notes in Statistics, Vol. 7).. Journal of the American Statistical Association. 77(380). 938–938. 22 indexed citations
19.
Lambert, Diane. (1981). Influence Functions for Testing. Journal of the American Statistical Association. 76(375). 649–649. 7 indexed citations
20.
Lambert, Diane. (1981). Influence Functions for Testing. Journal of the American Statistical Association. 76(375). 649–657. 22 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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