Erin LeDell

709 total citations
7 papers, 293 citations indexed

About

Erin LeDell is a scholar working on Artificial Intelligence, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Erin LeDell has authored 7 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Statistics and Probability and 1 paper in Infectious Diseases. Recurrent topics in Erin LeDell's work include Imbalanced Data Classification Techniques (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Statistical Methods and Models (2 papers). Erin LeDell is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Statistical Methods and Models (2 papers). Erin LeDell collaborates with scholars based in United States. Erin LeDell's co-authors include Maya Petersen, Mark van der Laan, Mark J. van der Laan, Chris J. Kennedy, Eric C. Polley, Varada Sarovar, Judith A. Erlen, Jane M. Simoni, Julia H. Arnsten and Ira B. Wilson and has published in prestigious journals such as JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of Mathematical Chemistry and The International Journal of Biostatistics.

In The Last Decade

Erin LeDell

7 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erin LeDell United States	5	54	44	35	35	28	7	293
Julia Schiffner Germany	12	64 1.2×	30 0.7×	13 0.4×	52 1.5×	26 0.9×	20	497
Michael L. Pennell United States	7	67 1.2×	65 1.5×	22 0.6×	25 0.7×	32 1.1×	10	433
Rachael V. Phillips United States	11	86 1.6×	29 0.7×	63 1.8×	19 0.5×	16 0.6×	20	444
Hien Nguyen United States	9	93 1.7×	110 2.5×	34 1.0×	26 0.7×	23 0.8×	20	322
Sabine Hoffmann Germany	12	23 0.4×	42 1.0×	57 1.6×	26 0.7×	60 2.1×	43	503
Bada Yang Netherlands	7	30 0.6×	70 1.6×	80 2.3×	91 2.6×	56 2.0×	23	409
Sahir Bhatnagar Canada	12	25 0.5×	48 1.1×	61 1.7×	26 0.7×	66 2.4×	52	434
Özgür Asar Türkiye	10	29 0.5×	26 0.6×	10 0.3×	10 0.3×	31 1.1×	18	327
Silvia Metelli United Kingdom	5	20 0.4×	36 0.8×	8 0.2×	15 0.4×	19 0.7×	11	250
Forike K. Martens Netherlands	5	25 0.5×	32 0.7×	21 0.6×	9 0.3×	28 1.0×	5	269

Countries citing papers authored by Erin LeDell

Since Specialization

Citations

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

Fields of papers citing papers by Erin LeDell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin LeDell

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

All Works

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7 of 7 papers shown

1.

LeDell, Erin, et al.. (2020). R Interface for the 'H2O' Scalable Machine Learning Platform [R package h2o version 3.32.0.1]. 4 indexed citations

2.

Polley, Eric C., Erin LeDell, Chris J. Kennedy, & Mark van der Laan. (2019). Super Learner Prediction [R package SuperLearner version 2.0-26]. 15 indexed citations

3.

LeDell, Erin, Mark J. van der Laan, & Maya Petersen. (2016). AUC-Maximizing Ensembles through Metalearning. The International Journal of Biostatistics. 12(1). 203–218. 47 indexed citations

4.

Petersen, Maya, Erin LeDell, Joshua Schwab, et al.. (2015). Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring. JAIDS Journal of Acquired Immune Deficiency Syndromes. 69(1). 109–118. 42 indexed citations

5.

LeDell, Erin, Maya Petersen, & Mark van der Laan. (2015). Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates. Electronic Journal of Statistics. 9(1). 1583–1607. 163 indexed citations

6.

LeDell, Erin. (2015). Scalable Ensemble Learning and Computationally Efficient Variance Estimation. eScholarship (California Digital Library). 18 indexed citations

7.

LeDell, Erin, Prabhat, Dmitry Yu. Zubarev, Brian Austin, & William A. Lester. (2012). Classification of nodal pockets in many-electron wave functions via machine learning. Journal of Mathematical Chemistry. 50(7). 2043–2050. 4 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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