Skyler Speakman

15 papers and 124 indexed citations i.

About

Skyler Speakman is a scholar working on Artificial Intelligence, Epidemiology and Oncology. According to data from OpenAlex, Skyler Speakman has authored 15 papers receiving a total of 124 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 4 papers in Epidemiology and 2 papers in Oncology. Recurrent topics in Skyler Speakman’s work include Anomaly Detection Techniques and Applications (8 papers), Data-Driven Disease Surveillance (3 papers) and Imbalanced Data Classification Techniques (2 papers). Skyler Speakman is often cited by papers focused on Anomaly Detection Techniques and Applications (8 papers), Data-Driven Disease Surveillance (3 papers) and Imbalanced Data Classification Techniques (2 papers). Skyler Speakman collaborates with scholars based in United States, Switzerland and Sweden. Skyler Speakman's co-authors include Daniel B. Neill, Edward McFowland, Celia Cintas, Girmaw Abebe Tadesse, Kush R. Varshney, William Ogallo, Jules B. Lipoff, Elizabeth E. Bailey, Nosa Orobaton and Veronica Rotemberg and has published in prestigious journals such as Journal of Machine Learning Research, Computer and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Skyler Speakman i

Fields of papers citing papers by Skyler Speakman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Skyler Speakman

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025