Samuel Lendle

586 total citations
14 papers, 365 citations indexed

About

Samuel Lendle is a scholar working on Statistics and Probability, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Samuel Lendle has authored 14 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Samuel Lendle's work include Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Samuel Lendle is often cited by papers focused on Advanced Causal Inference Techniques (8 papers), Statistical Methods and Inference (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Samuel Lendle collaborates with scholars based in United States and France. Samuel Lendle's co-authors include Mark J. van der Laan, Mark van der Laan, Joshua Schwab, Sebastian Schneeweiß, Jessica M. Franklin, Maya L. Petersen, Cheng Ju, Richard Wyss, Bruce Fireman and Meenakshi S. Subbaraman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and Biometrics.

In The Last Decade

Samuel Lendle

14 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Lendle United States	9	149	74	73	54	36	14	365
N.J. Cooper United Kingdom	8	88 0.6×	95 1.3×	53 0.7×	95 1.8×	31 0.9×	12	467
Shanti Gomatam United States	7	32 0.2×	18 0.2×	33 0.5×	43 0.8×	25 0.7×	9	303
Nicolás Ballarini Austria	10	66 0.4×	36 0.5×	8 0.1×	33 0.6×	23 0.6×	22	272
Lukas G. Keil United States	9	45 0.3×	141 1.9×	28 0.4×	19 0.4×	23 0.6×	15	533
Bain United Kingdom	4	44 0.3×	108 1.5×	19 0.3×	29 0.5×	49 1.4×	5	423
Ignacio Atal France	11	39 0.3×	154 2.1×	8 0.1×	45 0.8×	21 0.6×	20	516
Alexander Begun Germany	12	26 0.2×	41 0.6×	39 0.5×	57 1.1×	84 2.3×	25	516
Menglan Pang Canada	12	149 1.0×	77 1.0×	9 0.1×	15 0.3×	8 0.2×	22	299
Deanna J. M. Isaman United States	7	15 0.1×	49 0.7×	166 2.3×	66 1.2×	24 0.7×	17	284
Shelley A. Rusincovitch United States	9	20 0.1×	26 0.4×	55 0.8×	95 1.8×	94 2.6×	14	451

Countries citing papers authored by Samuel Lendle

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Lendle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Lendle

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Lendle. A scholar is included among the top collaborators of Samuel Lendle 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 Samuel Lendle. Samuel Lendle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Schwab, Joshua, Samuel Lendle, Maya Petersen, & Mark van der Laan. (2020). Longitudinal Targeted Maximum Likelihood Estimation [R package ltmle version 1.2-0]. 1 indexed citations

Ju, Cheng, Samuel Lendle, Jessica M. Franklin, et al.. (2019). Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods. Journal of Applied Statistics. 46(12). 2216–2236. 30 indexed citations

Lendle, Samuel, Joshua Schwab, Maya L. Petersen, & Mark J. van der Laan. (2017). ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data. Journal of Statistical Software. 81(1). 67 indexed citations

Wyss, Richard, Sebastian Schneeweiß, Mark van der Laan, et al.. (2017). Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation. Epidemiology. 29(1). 96–106. 58 indexed citations

Ju, Cheng, Susan Gruber, Samuel Lendle, et al.. (2017). Scalable collaborative targeted learning for high-dimensional data. Statistical Methods in Medical Research. 28(2). 532–554. 26 indexed citations

Toh, Sengwee, Christian Hampp, Marsha E. Reichman, et al.. (2016). Risk for Hospitalized Heart Failure Among New Users of Saxagliptin, Sitagliptin, and Other Antihyperglycemic Drugs. Annals of Internal Medicine. 164(11). 705–714. 85 indexed citations

Lendle, Samuel, Bruce Fireman, & Mark J. van der Laan. (2015). Balancing Score Adjusted Targeted Minimum Loss-based Estimation. SHILAP Revista de lepidopterología. 3(2). 139–155. 3 indexed citations

Schwab, Joshua, Samuel Lendle, Maya Petersen, & Mark van der Laan. (2015). Longitudinal Targeted Maximum Likelihood Estimation. 5 indexed citations

Lendle, Samuel. (2015). Targeted Minimum Loss Based Estimation: Applications and Extensions in Causal Inference and Big Data. eScholarship (California Digital Library). 1 indexed citations

10.

Laan, Mark J. van der & Samuel Lendle. (2014). Online Targeted Learning. Collection of Biostatistics Research Archive. 3 indexed citations

11.

Lendle, Samuel, Bruce Fireman, & Mark J. van der Laan. (2013). Targeted maximum likelihood estimation in safety analysis. Journal of Clinical Epidemiology. 66(8). S91–S98. 23 indexed citations

12.

Lendle, Samuel, Meenakshi S. Subbaraman, & Mark J. van der Laan. (2013). Identification and Efficient Estimation of the Natural Direct Effect among the Untreated. Biometrics. 69(2). 310–317. 10 indexed citations

13.

Subbaraman, Meenakshi S., Samuel Lendle, Mark van der Laan, Lee Ann Kaskutas, & Jennifer Ahern. (2013). Cravings as a mediator and moderator of drinking outcomes in theCOMBINEstudy. Addiction. 108(10). 1737–1744. 38 indexed citations

14.

Lendle, Samuel, Michael G. Hudgens, & Bahjat F. Qaqish. (2011). Group Testing for Case Identification with Correlated Responses. Biometrics. 68(2). 532–540. 15 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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