Lucien Le Cam
- Statistics and Probability top 0.5%
- Artificial Intelligence top 2%
- Finance top 2%
- Management Science and Operations Research top 2%
- Mathematical Physics top 5%
- Co-authors
- Grace L. YangJ. L. HodgesP. W. MillarM. RaghavachariRudolf BeranZ. GovindarajuluJerzy NeymanR. N. Traxler
- Topics
- Statistical Methods and Inference (5 papers)Bayesian Methods and Mixture Models (3 papers)Stochastic processes and financial applications (3 papers)
- Partner nations
- United States
In The Last Decade
Lucien Le Cam
24 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Statistics and Probability 967
- Artificial Intelligence 595
- Finance 346
- Management Science and Operations Research 276
- Mathematical Physics 180
Countries citing papers authored by Lucien Le Cam
This map shows the geographic impact of Lucien Le Cam'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 Lucien Le Cam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucien Le Cam more than expected).
Fields of papers citing papers by Lucien Le Cam
This network shows the impact of papers produced by Lucien Le Cam. 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 Lucien Le Cam. The network helps show where Lucien Le Cam may publish in the future.
Co-authorship network of co-authors of Lucien Le Cam
This figure shows the co-authorship network connecting the top 25 collaborators of Lucien Le Cam. A scholar is included among the top collaborators of Lucien Le Cam 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 Lucien Le Cam. Lucien Le Cam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 146 | |
| 2 | On the variance of estimates with prescribed expectations | 2 |
| 3 | 7 | |
| 4 | 210 | |
| 5 | 215 | |
| 6 | On the Prokhorov distance between the empirical process and the associated Gaussian bridge | 5 |
| 7 | 24 | |
| 8 | Harald Cramer and sums of independent random variables | 2 |
| 9 | 8 | |
| 10 | Asymptotic Methods in Statistical Decision Theorybreakdown → | 733 |
| 11 | 85 | |
| 12 | Sur l'approximation de familles de mesures par des familles gaussiennes | 8 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | PROCEEDINGS OF THE BERKELEY SYMPOSIUM ON MATHEMATICAL STATISTICS AND PROBABILITY (5TH) HELD JUNE 21-JULY 18, 1965, AND DECEMBER 27, 1965-JANUARY 7, 1966. VOLUME I. THEORY OF STATISTICS. | 2 |
| 18 | 132 | |
| 19 | 10 | |
| 20 | 112 |
About Lucien Le Cam
Lucien Le Cam is a scholar working on Statistics and Probability, Mathematical Physics and Finance, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (3 papers) and Stochastic processes and financial applications (3 papers). The work is most often cited by research in Statistics and Probability (967 citations), Finance (346 citations) and Statistics, Probability and Uncertainty (161 citations). Lucien Le Cam has collaborated with scholars based in United States. Frequent co-authors include Grace L. Yang, J. L. Hodges, P. W. Millar, M. Raghavachari, Rudolf Beran, Z. Govindarajulu, Jerzy Neyman, R. N. Traxler, Elizabeth L. Scott and D. V. Gokhale. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biometrics and The Annals of Statistics.
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.