Ann B. Lee

2.2k total citations · 1 hit paper
27 papers, 1.2k citations indexed

About

Ann B. Lee is a scholar working on Artificial Intelligence, Statistics and Probability and Molecular Biology. According to data from OpenAlex, Ann B. Lee has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 5 papers in Molecular Biology. Recurrent topics in Ann B. Lee's work include Tropical and Extratropical Cyclones Research (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Methods and Models (4 papers). Ann B. Lee is often cited by papers focused on Tropical and Extratropical Cyclones Research (5 papers), Statistical Methods and Inference (4 papers) and Advanced Statistical Methods and Models (4 papers). Ann B. Lee collaborates with scholars based in United States, Brazil and Israel. Ann B. Lee's co-authors include Kathryn Roeder, Lambertus Klei, Bernie Devlin, Pamela Sklar, Christina M. Hultman, Trent Gaugler, Jennifer Reichert, Corneliu Bodea, Arthur P. Goldberg and Dina Manaa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Ann B. Lee

26 papers receiving 1.2k citations

Hit Papers

Most genetic risk for autism resides with common variation 2014 2026 2018 2022 2014 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Most genetic risk for autism resides with common variation
    2014 774 citations Trent Gaugler, Lambertus Klei et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ann B. Lee United States 12 613 588 337 100 87 27 1.2k
Elias Chaibub Neto United States 15 256 0.4× 338 0.6× 648 1.9× 82 0.8× 117 1.3× 33 1.9k
Hongbao Cao United States 26 423 0.7× 389 0.7× 594 1.8× 251 2.5× 67 0.8× 138 2.0k
Kongming Wang United States 17 178 0.3× 668 1.1× 405 1.2× 61 0.6× 88 1.0× 39 2.7k
J. Cooper Roddey United States 15 540 0.9× 580 1.0× 318 0.9× 467 4.7× 53 0.6× 19 1.8k
Dongdong Lin United States 27 240 0.4× 1.2k 2.1× 541 1.6× 255 2.5× 109 1.3× 86 2.2k
Michael Spiegel Germany 12 185 0.3× 186 0.3× 76 0.2× 90 0.9× 36 0.4× 35 1.5k
Vanessa Sochat United States 10 112 0.2× 589 1.0× 355 1.1× 61 0.6× 99 1.1× 32 1.6k
Sandra W. Curtiss United States 15 101 0.2× 1.5k 2.5× 272 0.8× 107 1.1× 53 0.6× 20 2.1k
Ruth Heller Israel 18 141 0.2× 431 0.7× 326 1.0× 28 0.3× 141 1.6× 44 1.4k
Frédéric Bernard France 26 125 0.2× 908 1.5× 349 1.0× 200 2.0× 13 0.1× 51 2.1k

Countries citing papers authored by Ann B. Lee

Since Specialization
Citations

This map shows the geographic impact of Ann B. Lee'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 Ann B. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann B. Lee more than expected).

Fields of papers citing papers by Ann B. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann B. Lee. 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 Ann B. Lee. The network helps show where Ann B. Lee may publish in the future.

Co-authorship network of co-authors of Ann B. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ann B. Lee. A scholar is included among the top collaborators of Ann B. Lee 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 Ann B. Lee. Ann B. Lee 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.
Hu, Addison J., Mikael Kuusela, Ann B. Lee, Donata Giglio, & Kimberly M. Wood. (2024). Spatiotemporal methods for estimating subsurface ocean thermal response to tropical cyclones. SHILAP Revista de lepidopterología. 10(2). 69–93. 1 indexed citations
2.
3.
Wood, Kimberly M., et al.. (2023). Detecting distributional differences in labeled sequence data with application to tropical cyclone satellite imagery. The Annals of Applied Statistics. 17(2). 3 indexed citations
4.
Lee, Ann B., et al.. (2020). Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations. International Conference on Artificial Intelligence and Statistics. 3349–3361. 2 indexed citations
5.
Izbicki, Rafael, et al.. (2020). NNKCDE: Nearest Neighbor Kernel Conditional Density Estimation. Astrophysics Source Code Library. 1 indexed citations
6.
Harnois-Déraps, Joachim, et al.. (2020). Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases. Monthly Notices of the Royal Astronomical Society. 499(2). 2977–2993. 12 indexed citations
7.
Lee, Ann B., et al.. (2019). Quantifying the Spatial Structure of Tropical Cyclone Imagery. UCAR/NCAR. 3 indexed citations
8.
Huang, Robert J., Alexander R. Ende, Jennifer T. Higa, et al.. (2019). Prevalence, risk factors, and surveillance patterns for gastric intestinal metaplasia among patients undergoing upper endoscopy with biopsy. Gastrointestinal Endoscopy. 91(1). 70–77.e1. 36 indexed citations
9.
Lee, Ann B., et al.. (2018). RFCDE: Random Forests for Conditional Density Estimation. arXiv (Cornell University). 1 indexed citations
10.
Lee, Ann B., Boaz Nadler, & Larry Wasserman. (2018). Treelets —An Adaptive Multi-Scale Basis for Sparse Unordered Data. Figshare. 25 indexed citations
11.
Richards, Joseph W., Peter E. Freeman, Ann B. Lee, & Chad Schafer. (2018). Exploiting Low-Dimensional Structure in Astronomical Spectra. Figshare. 10 indexed citations
12.
Lee, Ann B. & Rafael Izbicki. (2016). A spectral series approach to high-dimensional nonparametric regression. Electronic Journal of Statistics. 10(1). 16 indexed citations
13.
Gaugler, Trent, Lambertus Klei, Stephan Sanders, et al.. (2014). Most genetic risk for autism resides with common variation. Nature Genetics. 46(8). 881–885. 774 indexed citations breakdown →
14.
Wang, Wei, John A. Ozolek, Dejan Slepčev, et al.. (2010). An Optimal Transportation Approach for Nuclear Structure-Based Pathology. IEEE Transactions on Medical Imaging. 30(3). 621–631. 58 indexed citations
15.
Lee, Ann B., et al.. (2010). A spectral graph approach to discovering genetic ancestry. The Annals of Applied Statistics. 4(1). 179–202. 19 indexed citations
16.
Lee, Ann B., et al.. (2009). Discovering genetic ancestry using spectral graph theory. Genetic Epidemiology. 34(1). 51–59. 69 indexed citations
17.
Richards, Joseph W., Peter E. Freeman, Ann B. Lee, & Chad Schafer. (2009). Accurate parameter estimation for star formation history in galaxies using SDSS spectra. Monthly Notices of the Royal Astronomical Society. 399(2). 1044–1057. 18 indexed citations
18.
Ringquist, Steven, Lambertus Klei, Ann B. Lee, et al.. (2008). On the Use of General Control Samples for Genome-wide Association Studies: Genetic Matching Highlights Causal Variants. The American Journal of Human Genetics. 82(2). 453–463. 70 indexed citations
19.
Lee, Ann B., Boaz Nadler, & Larry Wasserman. (2008). Rejoinder of: Treelets—An adaptive multi-scale basis for spare unordered data. The Annals of Applied Statistics. 2(2). 4 indexed citations
20.
Lee, Ann B. & Boaz Nadler. (2007). Treelets | A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data. International Conference on Artificial Intelligence and Statistics. 259–266. 5 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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