Erin LeDell

19 total papers · 704 total citations
7 papers, 290 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 290 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, Eric C. Polley, Chris J. Kennedy, Jessica E. Haberer, Robert H. Remien, David Etoori, Judith A. Erlen and Honghu Liu 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 287 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Erin LeDell 54 43 35 33 28 7 290
Forike K. Martens 24 0.4× 31 0.7× 21 0.6× 9 0.3× 28 1.0× 5 263
Özgür Asar 29 0.5× 26 0.6× 10 0.3× 10 0.3× 31 1.1× 18 325
Silvia Metelli 20 0.4× 35 0.8× 7 0.2× 15 0.5× 18 0.6× 11 247
Maxine Mackintosh 104 1.9× 25 0.6× 46 1.3× 8 0.2× 13 0.5× 10 307
Sreekar Mantena 47 0.9× 24 0.6× 28 0.8× 12 0.4× 32 1.1× 16 231
Laura Brenner 21 0.4× 54 1.3× 15 0.4× 62 1.9× 59 2.1× 16 255
Patrick Doupé 53 1.0× 35 0.8× 26 0.7× 6 0.2× 11 0.4× 11 266
Shiyun Hu 53 1.0× 37 0.9× 36 1.0× 5 0.2× 19 0.7× 7 284
Kathryn Twyman 21 0.4× 74 1.7× 6 0.2× 78 2.4× 15 0.5× 10 241
Ash Kieran Clift 26 0.5× 30 0.7× 35 1.0× 48 1.5× 24 0.9× 10 224

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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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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